{"access":{"catalog_url":"https://aidevboard.com/api/v1/catalog","description":"Public read endpoints are open and free. API keys are optional for stable agent identity and keyed hourly throttling.","docs_url":"https://aidevboard.com/docs","employer_pilot_url":"https://aidevboard.com/verified-interview-pilot","mode":"open","register_url":"https://aidevboard.com/api/v1/register"},"candidate_resume_action":{"application_authorized":false,"candidate_charge":0,"endpoint":"https://aidevboard.com/api/v1/candidate/resume-preview","job_id_json_path":"jobs[].id","method":"POST","preview_requires_identity":false,"required_body_fields":["job_id","evidence_bullets"],"requires_explicit_human_review":true,"saved_artifact_protocol":"mcp","saved_artifact_requires_verified_human":true,"saved_artifact_tool":"compile_job_specific_resume","search_requires_identity":false,"status":"available_after_candidate_selects_job","submission_performed":false,"uses_candidate_verified_evidence":true},"degraded":false,"estimated":false,"has_next":true,"jobs":[{"id":"28b05347-ce05-4abb-9151-3f23b80ec6ec","company_id":"a0000000-0000-0000-0000-000000000001","title":"Manager Applied AI Architecture, Financial Services","slug":"manager-applied-ai-architecture-financial-services-c4ba41fa","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the Role:  \n As manager of the Financial Services Solutions Architect team within Applied AI at Anthropic, you will drive the adoption of frontier AI in partnership with the rest of the go to market organization. We work with customers that include companies across banking, insurance, asset management, and payment providers. You will be responsible for leading and growing the pre-sales team that partners with account executives to help those companies understand and deploy Anthropic’s products, including Claude Code, Cowork, and the Claude Development Platform (our API). This will include leveraging your technical skills and consultative sales experience to hire great people, establish processes for the team to scale, and represent Anthropic directly at strategic customer engagements.\n Responsibilities:  \n \n Hire, manage, and guide a team of pre-sales Solutions Architects by providing both technical guidance and career development.\n Set goals for your team that establish baseline expectations for performance in collaboration with sales and other cross-functional teams.\n Act as a technical sponsor for high-value strategic customers and advise them on their overall AI adoption strategies or top use case scoping and deployment.\n Partner closely with sales leadership to identify new strategies to drive adoption of Anthropic products within specific verticals or horizontal use cases.\n Work with cross-functional teams like product and engineering to ensure Anthropic prioritizes customer feedback or resolves blockers to adoption.\n Travel to customer sites or conferences for executive-level sessions, technical workshops, and relationship building.\n Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products.\n Contribute to thought leadership through conference presentations, webinars, and technical content creation.\n Stay current with emerging AI trends and the evolving ecosystem.\n \n You may be a good fit if you :\n \n 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role.\n 3+ years of technical pre-sales management experience.\n Have sold complex technical products to Financial Services companies.\n Have deep technical proficiency with enterprise AI use cases and API integrations or enterprise solution rollouts.\n Understand how to contribute to running a GTM organization anchored on a consumption business model, not SaaS sales cycles.\n Thrive in building and rapidly scaling teams and processes within ambiguous and fast-moving environments.\n Have excellent communication, collaboration, and coaching abilities.\n Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams.\n Have at least a high level familiarity with the architecture and operation of LLMs.\n Have a passion for making powerful technology safe and societally beneficial.\n Stay up-to-date and informed by taking an active interest in emerging research and industry trends within AI.\n \n Strong candidates may have :\n \n Enterprise pre-sales leadership at scale : 5+ years leading solution architect teams through hypergrowth (ideally 10 to 50+ people), with direct experience managing senior individual contributors and developing junior talent in complex enterprise software sales environments.\n AI Technical Depth + Executive Engagement : Hands-on experience with AI platforms and enterprise integration patterns, combined with proven track record engaging C-level stakeholders in $10M+ technical evaluations and enterprise sales cycles.\n Deep FSI GTM Experience : Demonstrated success adapting technical approaches to customers in banking, insurance, payment providers, or asset management.\n The annual compensation range for this role is listed below. \n For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\n Annual Salary:\n $315,000 — $380,000 USD \n Logistics \n Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\n Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience\n Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\n Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\n Visa sponsorship:  We do sponsor visas!","salary_min":315000,"salary_max":380000,"location":"New York, NY","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["llm","payments","alignment","fintech"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5390894008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-21T01:55:46Z","expires_at":"2026-09-29T13:30:23.024734Z","created_at":"2026-08-25T18:26:13.960891Z","updated_at":"2026-08-30T13:30:23.164437Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/28b05347-ce05-4abb-9151-3f23b80ec6ec"},{"id":"b34e466f-7eb0-447f-a27c-6798ecaed2ff","company_id":"5799e1f6-0be1-420d-b492-b1eb8717dd2a","title":"Data Solutions \u0026 Validation Sr. Specialist","slug":"data-solutions-validation-sr-specialist-66a4b041","description":"Join us in building the future of finance.\n Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.\n About the team + role \n We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. \n The Financial Crimes Team at Robinhood works across multiple verticals to protect our customers and ensure strict compliance with all relevant Anti-Money Laundering (AML) and Sanctions regulations. As our team of passionate professionals continues to evolve the program, we are intensely focused on leveraging innovative thinking, advanced analytics, and cutting-edge technology to build a best-in-class Financial Crimes Program.\n As the Senior Specialist, Model Validation \u0026 Analytics, you will play a key role in this mission by executing the validation, testing, tuning, and optimization of various transaction monitoring and filtering programs across Financial Crimes. You will partner closely with the AML Surveillance Team, engineering partners, and cross-functional verticals to ensure our financial crimes models and systems are accurately implemented, rigorously evaluated, and effectively calibrated to meet the diverse regulatory requirements of our domestic and international lines of business.\n This role is based in our Denver, CO, New York, NY, or Westlake, TX office(s), with in-person attendance expected at least 3 days per week. \n At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. \n What you’ll do \n \n Model Validation \u0026 Review Execution: Perform independent, rigorous quantitative and qualitative analyses of rule-based and machine learning financial crimes surveillance models, filtering systems, and detection logic targeting model design, algorithm soundness, data integrity, and change management\n Technical Review \u0026 Remediation: Act as a technical bridge within a fast-paced fintech environment by leveraging a solid foundation in data engineering, data modeling, and infrastructure. Collaborate seamlessly with software engineers, data engineers, and data scientists to decipher complex logic, evaluate model implementations, test data pipelines, and support the remediation of model issues.\n Optimization \u0026 Model Tuning: Execute effective tuning methodologies and statistical analyses to continuously calibrate and enhance surveillance models. Work on strategic initiatives focused on maximizing risk detection capabilities while systematically reducing false positive volumes to ensure an efficient and effective alert review process.\n Logic \u0026 Data Integrity Assurance: Conduct comprehensive data validation and logic testing initiatives to establish a strong foundation of data quality. Ensure the completeness, accuracy, and end-to-end reliability of critical data pipelines and inputs feeding our compliance models, mitigating systemic risks and safeguarding the integrity of our transaction monitoring ecosystem.\n Subject Matter Expertise: Serve as a knowledgeable subject matter resource in AML and Model Risk, providing practical domain insights and supporting cross-functional partners in understanding model logic, performance, and risk trade-offs.\n Cross-Functional Collaboration: Build strong working partnerships across engineering, product, and compliance teams to ensure technical solutions are conceptually sound, effective, and aligned with our risk tolerance.\n Change \u0026 Issue Management: Uphold change and issue management policies for covered systems, models, and solutions, ensuring end-to-end traceability and maintaining defensible documentation for internal audit and external regulators.\n AI Strategy \u0026 Tech-Forward Adoption: Bring hands-on capabilities and experience leveraging AI tools, Large Language Models (LLMs), and automation techniques to enhance daily productivity, elevate deliverable quality, and optimize team workflows.\n Documentation \u0026 Reporting: Author thorough, concise, and defensible validation reports, change and issues management documentation, and executive summaries that clearly explain model theory, testing logic, performance findings, and actionable recommendations for key stakeholders.\n \n  \n What you bring \n \n Education: Bachelor's Degree or equivalent in a quantitative, technical, or financial field (e.g., Com","salary_min":106000,"salary_max":125000,"location":"Denver, CO","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["llm","payments","data-pipeline","fintech"],"apply_url":"https://boards.greenhouse.io/robinhood/jobs/8120681?t=gh_src=\u0026gh_jid=8120681","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-17T21:12:12Z","expires_at":"2026-09-29T13:39:23.276095Z","created_at":"2026-08-25T18:29:05.342026Z","updated_at":"2026-08-30T13:39:23.412233Z","company_name":"Robinhood","company_slug":"robinhood","company_logo_url":"https://www.google.com/s2/favicons?domain=robinhood.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/b34e466f-7eb0-447f-a27c-6798ecaed2ff"},{"id":"27e47bb2-457a-411c-94da-c13b0a26bbe4","company_id":"a0000000-0000-0000-0000-000000000001","title":"Staff+ Software Engineer, Financial Fraud","slug":"staff-software-engineer-financial-fraud-e46a39b4","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the role \n The Fraud Prevention team protects Anthropic's payment and monetization surfaces from financial abuse — keeping fraud losses, dispute rates, and network monitoring exposure in check while preserving a smooth experience for legitimate customers. As a software engineer on this team, you will build the systems that make risk decisions in real time, manage the dispute and chargeback lifecycle, and detect monetization abuse across subscriptions, in-app purchases, and promotions. The ideal candidate can see things from attackers' perspectives, anticipate their responses to countermeasures, and never loses sight of the fact that a false positive here is a paying customer.\n Payments fraud is more externally coupled than most trust and safety work — you'll collaborate closely with finance, support, and legal teams internally, and with payment processors and platform partners externally.\n Responsibilities: \n \n Design and build real-time risk decisioning that scores transactions at authorization time, balancing fraud loss, approval rates, and latency constraints\n Build tooling and automation for the dispute and chargeback lifecycle, from review queues to evidence collection and loss reporting\n Engineer fraud signals at scale — device fingerprinting, BIN and issuer signals, velocity features, and cross-account linkage — and detect monetization abuse across subscriptions, trials, promotions, and in-app purchases\n Own a portfolio of metrics — loss rate, dispute rate, authorization approval impact, and false-positive rate — rather than optimizing any single number\n Lead investigations into emerging fraud patterns, building multi-layered defenses designed for attacker adaptation rather than point-in-time rules\n Work cross-functionally with finance, support, legal, and data science, and with external payment processors and platform partners\n \n Minimum Qualifications:  \n \n Proficiency in Python, SQL, and data analysis tools\n Experience building or operating fraud, risk, or abuse detection systems in production\n Strong communication skills and ability to explain complex technical tradeoffs to non-technical stakeholders\n \n Preferred Qualifications:  \n \n 8+ years of industry software engineering experience, with a focus on payments fraud or risk\n Fluency with payments rails: card networks, payment service providers (e.g., Stripe, Adyen), in-app purchase platforms (Apple, Google), refund flows, and the chargeback and dispute lifecycle\n Direct experience combating fraud typologies such as card testing, stolen-card monetization, refund and chargeback abuse, subscription and trial abuse, promotional abuse, and friendly fraud\n Understanding of fraud loss accounting — fraud loss vs. dispute fees vs. card network monitoring programs (e.g., VDMP, i VFMP, Mastercard ECP) — and why chargeback rate thresholds carry existential stakes\n Experience building hybrid rules-and-ML risk systems: real-time scoring at authorization plus post-authorization review workflows\n Experience at a marketplace or subscription business, or on a processor-side or issuer-side risk team\n The annual compensation range for this role is listed below. \n For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\n Annual Salary:\n $320,000 — $485,000 USD \n Logistics \n Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\n Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience\n Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\n Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\n Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\n We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely ","salary_min":320000,"salary_max":485000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["alignment","payments","fintech","rust"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5325909008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-10T20:42:40Z","expires_at":"2026-09-29T13:30:39.751009Z","created_at":"2026-07-12T14:00:33.033504Z","updated_at":"2026-08-30T13:30:39.890755Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/27e47bb2-457a-411c-94da-c13b0a26bbe4"},{"id":"dc033222-94d6-4f90-ab58-28670beb09b4","company_id":"92df3417-f362-4f1a-9406-e34d8013b283","title":"Staff Machine Learning Engineer, Credit Products (Square Financial Services)","slug":"staff-machine-learning-engineer-credit-products-square-financial-services-ee403c3c","description":"Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.\n The Role \n The Credit and Lending team is responsible for the predictive intelligence that underpins Block’s primary capital-intensive products. These products unlock unique access to credit for our customers, many of whom are otherwise underbanked and underserved by the traditional financial system. As a Machine Learning Engineer within Square Financial Services (SFS), you will occupy a high-leverage role at the intersection of regulated banking and advanced autonomous systems. This position requires full-stack ownership of the credit engine, from the curation of novel data signals to the implementation of the decisioning logic that drives Block’s top-line growth. Our credit products are material drivers of the company’s profitability and are frequently highlighted in executive reviews and quarterly earnings reports. We are seeking a scientifically-minded contributor capable of delivering extraordinary individual leverage to expand our underwriting capabilities into previously untapped segments through pragmatic policy evolution and advanced modeling techniques.\n You Will \n \n Apply a rigorous scientific mindset to the challenge of underwriting new customer segments, involving the evaluation of alternative external data sources and the deployment of advanced architectures to enhance predictive accuracy.\n Lead complex ML Operations and Infrastructure initiatives that advance our modeling capabilities, such as scaling data ingestion or enabling the use of more complex neural networks.\n Design and implement the full credit modeling stack, taking responsibility for the entire lifecycle of credit decisioning and ensuring models are robustly integrated into production environments.\n Use data science techniques to leverage new data sources for modeling, making sense of messy datasets and bringing clarity to business decisions.\n Identify and execute material improvements to credit policy, applying an analytical lens to determine where technical or logic shifts can yield significant positive outcomes for the customer and the bank’s portfolio.\n Support team members in ad-hoc and scheduled updates to existing models, and help troubleshoot issues in a real-time production environment.\n Operate effectively within the framework of a regulated bank (SFS), balancing rapid innovation with the requirements of safety, soundness, and compliance.\n \n You Have \n \n Minimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years experience, with a focus on developing and deploying machine learning and statistical models in production environments.\n A degree in a technical field (e.g., Computer Science, Mathematics, Statistics, Physics, or Engineering). We have a strong preference for candidates with a demonstrated track record of scientific research or an advanced degree.\n Strong quantitative intuition and data visualization skills, with a proven ability to conduct sophisticated ad-hoc and exploratory analysis.\n Full-stack proficiency preferred, including the ability to contribute across the entire technical stack—from data pipelines to production-grade software architecture.\n The versatility to communicate clearly with both technical and non-technical audiences, particularly in the context of high-visibility projects and executive stakeholders.\n A pragmatic approach to problem-solving, with a willingness to utilize whichever tool is most appropriate for the situation while balancing complex business, technical, and regulatory constraints.\n Experience with tree-based models and gradient boosting is helpful but not required; we value the ability to adapt and learn new methodologies as the credit landscape evolves.\n \n  \n We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.\n We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applic","salary_min":194500,"salary_max":291700,"location":"Seattle, WA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["cloud","deep-learning","data-pipeline","fine-tuning","fintech","machine-learning"],"apply_url":"http://block.xyz/careers/jobs/5216800008?gh_jid=5216800008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-11T22:17:21Z","expires_at":"2026-09-29T13:39:47.113735Z","created_at":"2026-05-12T14:11:23.963451Z","updated_at":"2026-08-30T13:39:47.246768Z","company_name":"Block","company_slug":"block","company_logo_url":"https://www.google.com/s2/favicons?domain=block.xyz\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/dc033222-94d6-4f90-ab58-28670beb09b4"},{"id":"42c2eeea-9090-41a6-8291-ead2231fcfbb","company_id":"92df3417-f362-4f1a-9406-e34d8013b283","title":"Staff Machine Learning Engineer, Credit Products (Square Financial Services)","slug":"staff-machine-learning-engineer-credit-products-square-financial-services-bd366921","description":"Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.\n The Role \n The Credit and Lending team is responsible for the predictive intelligence that underpins Block’s primary capital-intensive products. These products unlock unique access to credit for our customers, many of whom are otherwise underbanked and underserved by the traditional financial system. As a Machine Learning Engineer within Square Financial Services (SFS), you will occupy a high-leverage role at the intersection of regulated banking and advanced autonomous systems. This position requires full-stack ownership of the credit engine, from the curation of novel data signals to the implementation of the decisioning logic that drives Block’s top-line growth. Our credit products are material drivers of the company’s profitability and are frequently highlighted in executive reviews and quarterly earnings reports. We are seeking a scientifically-minded contributor capable of delivering extraordinary individual leverage to expand our underwriting capabilities into previously untapped segments through pragmatic policy evolution and advanced modeling techniques.\n You Will \n \n Apply a rigorous scientific mindset to the challenge of underwriting new customer segments, involving the evaluation of alternative external data sources and the deployment of advanced architectures to enhance predictive accuracy.\n Lead complex ML Operations and Infrastructure initiatives that advance our modeling capabilities, such as scaling data ingestion or enabling the use of more complex neural networks.\n Design and implement the full credit modeling stack, taking responsibility for the entire lifecycle of credit decisioning and ensuring models are robustly integrated into production environments.\n Use data science techniques to leverage new data sources for modeling, making sense of messy datasets and bringing clarity to business decisions.\n Identify and execute material improvements to credit policy, applying an analytical lens to determine where technical or logic shifts can yield significant positive outcomes for the customer and the bank’s portfolio.\n Support team members in ad-hoc and scheduled updates to existing models, and help troubleshoot issues in a real-time production environment.\n Operate effectively within the framework of a regulated bank (SFS), balancing rapid innovation with the requirements of safety, soundness, and compliance.\n \n You Have \n \n Minimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years experience, with a focus on developing and deploying machine learning and statistical models in production environments.\n A degree in a technical field (e.g., Computer Science, Mathematics, Statistics, Physics, or Engineering). We have a strong preference for candidates with a demonstrated track record of scientific research or an advanced degree.\n Strong quantitative intuition and data visualization skills, with a proven ability to conduct sophisticated ad-hoc and exploratory analysis.\n Full-stack proficiency preferred, including the ability to contribute across the entire technical stack—from data pipelines to production-grade software architecture.\n The versatility to communicate clearly with both technical and non-technical audiences, particularly in the context of high-visibility projects and executive stakeholders.\n A pragmatic approach to problem-solving, with a willingness to utilize whichever tool is most appropriate for the situation while balancing complex business, technical, and regulatory constraints.\n Experience with tree-based models and gradient boosting is helpful but not required; we value the ability to adapt and learn new methodologies as the credit landscape evolves.\n \n  \n We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.\n We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applic","salary_min":194500,"salary_max":291700,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["data-pipeline","deep-learning","fine-tuning","cloud","machine-learning","fintech"],"apply_url":"http://block.xyz/careers/jobs/5216603008?gh_jid=5216603008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-11T22:17:20Z","expires_at":"2026-09-29T13:39:47.019395Z","created_at":"2026-05-12T14:11:23.885344Z","updated_at":"2026-08-30T13:39:47.15394Z","company_name":"Block","company_slug":"block","company_logo_url":"https://www.google.com/s2/favicons?domain=block.xyz\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/42c2eeea-9090-41a6-8291-ead2231fcfbb"},{"id":"534f4a5a-57df-4a9f-85c4-8d411e600b6d","company_id":"219030bb-3e37-4376-be76-0ea3c447e4b2","title":"Principal Software Engineer, Financial Data Platform \u0026 GenSearch Agent","slug":"principal-software-engineer-financial-data-platform-gensearch-agent-29e75fe9","description":"About AlphaSense:  \n The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. \n The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S\u0026P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! \n About the Team: \n Our diverse Product \u0026 Engineering team values innovation, collaboration, and the continuous improvement of our platform. We offer a dynamic work environment where employees can grow and thrive while working on cutting-edge technology that shapes the future of AI and search.\n At AlphaSense, we believe that diverse experiences and perspectives are critical to our success. We are committed to creating an inclusive workplace where all employees feel valued and empowered to be their authentic selves.\n About the Role:  \n At AlphaSense, GenSearch is a production, customer-facing generative AI system delivering high-confidence answers across multiple domains. Our team owns the financial data agent within GenSearch — connecting AI reasoning to structured financial datasets — as well as the financial data web experiences that power fundamentals, M\u0026A, screening, and other core capabilities.\n We are hiring a hands-on Principal Engineer to help us:\n \n Reduce latency in AI-powered financial answers\n Simplify fragmented and legacy-heavy architecture\n Improve cross-dataset querying and screening\n Ship new datasets and product capabilities without increasing systemic complexity\n \n This role sits at the intersection of AI systems, financial data infrastructure, and product-grade web development.\n Who You Are: \n \n 12+ years building and operating production systems\n Experience operating at a Staff or Principal level\n Proven ability to simplify complex systems and reduce architectural entropy\n Strong background in distributed systems and performance optimization\n Experience building AI-integrated systems (LLM orchestration, tool usage, retrieval, evaluation)\n Comfortable working across backend systems and modern frontend frameworks (e.g., React)\n Experienced designing APIs and durable service contracts\n Effective at driving cross-team technical initiatives\n \n What You’ll Do: \n Improve AI \u0026 Performance\n \n Optimize orchestration between LLM workflows, structured datasets, and services\n Introduce performance benchmarks, observability standards, and SLO discipline\n Improve reliability and correctness of AI-backed financial responses\n \n Simplify Architecture\n \n Reduce fragmentation across datasets and services\n Partner with data platform teams to define scalable dataset integration patterns\n Remove legacy complexity while continuing to ship\n \n Build \u0026 Evolve Web Products\n \n Contribute directly to backend and frontend systems powering financial data experiences\n Define durable contracts between AI-generated outputs and frontend consumers\n Ensure performance and usability at both API and product layers\n \n Lead Across Teams\n \n Drive technical initiatives spanning multiple engineering teams\n Align stakeholders on service boundaries and system design decisions\n Raise the bar for system design, reliability, and operational rigor\n For base compensation, we set standard ranges for all roles based on function and level benchmarked against similar stage growth companies and internal comparables. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors including candidate experience/expertise and may vary from the amounts listed below. \n You may also be offered equity, and a generous benefits program.\n Compensation Range\n $246,000 — $339,000 USD \n AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy)","salary_min":246000,"salary_max":339000,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"principal","tags":["generative-ai","payments","llm","distributed-systems","fintech"],"apply_url":"https://job-boards.greenhouse.io/alphasense/jobs/8431630002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-02-20T17:01:16Z","expires_at":"2026-09-29T13:40:52.642497Z","created_at":"2026-04-13T15:01:47.945835Z","updated_at":"2026-08-30T13:40:52.774869Z","company_name":"AlphaSense","company_slug":"alphasense","company_logo_url":"https://www.google.com/s2/favicons?domain=alpha-sense.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/534f4a5a-57df-4a9f-85c4-8d411e600b6d"},{"id":"763c177b-536e-4ae5-97f2-d56f3f480ec4","company_id":"2721f049-2cf2-4e3e-82d0-8d8df89c8f90","title":"Financial Reporting Manager","slug":"financial-reporting-manager-82a1f52f","description":"About Nebius: \n Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.\n Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.\n Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R\u0026D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R\u0026D.\n The role \n Nebius is looking for a highly technical and hands-on accounting professional to join our growing finance organization. As a  Financial Reporting Manager , you will play a critical role in supporting a public company environment by leading the analysis and documentation of complex accounting matters and ensuring high-quality, compliant financial reporting.   \n This role is ideal for someone who thrives in a fast-evolving AI infrastructure business, where transactions span revenue contracts, large-scale infrastructure investments, strategic financing, and M\u0026A activity.   \n Your responsibilities will include:   \n \n Prepare and review monthly, quarterly, and annual financial statements and reporting packages for special purpose vehicles (SPVs), ensuring timely and accurate reporting in accordance with U.S. GAAP and applicable entity requirements   \n \n \n Support the consolidation of SPV results into the broader company reporting process and coordinate with Corporate Accounting, FP\u0026A, Tax, Treasury, and Legal on SPV-related transactions and reporting matters   \n \n \n Maintain and enhance accounting policies, controls, reconciliations, and supporting documentation for SPVs, with a focus on accuracy, consistency, audit readiness, and scalability   \n \n \n Coordinate with external auditors on the annual audits of SPVs, including preparation of audit support, management of PBC requests, resolution of audit questions, and evaluation of proposed adjustments   \n \n \n Prepare and review technical accounting memos and position papers to support accounting conclusions   \n \n \n Support the preparation and review of SEC filings (20-F, 6-K), including footnotes and disclosures   \n \n \n Utilize financial reporting tools (e.g., Workiva or Active Disclosure) to prepare and manage SEC filings and ensure accuracy and efficiency in reporting   \n \n \n Partner closely with Legal, FP\u0026A, Tax, and Operations to evaluate accounting implications of contracts and strategic initiatives   \n \n \n Support SOX compliance and enhance internal controls over financial reporting   \n \n \n Drive improvements in financial reporting processes, documentation, and scalability   \n \n \n Assist with ad hoc projects related to capital markets activity, M\u0026A, and global expansion   \n \n We expect you to have:   \n \n Bachelor’s degree in Accounting or Finance; CPA preferred   \n \n \n 5 - 10 years of experience (Big 4 or national public accounting firm required; public company experience strongly preferred)   \n \n \n Deep expertise in U.S. GAAP   \n \n \n Experience with complex transactions such as M\u0026A, financing arrangements, and capital projects   \n \n \n Strong experience with SEC reporting and financial statement disclosures   \n \n \n Hands-on experience with financial reporting tools such as Workiva or Active Disclosure   \n \n \n Exceptional technical writing skills, including preparation of accounting memos   \n \n \n Ability to operate independently and manage multiple priorities in a fast-paced environment   \n \n \n Strong interpersonal skills with the ability to influence cross-functional stakeholders   \n \n It would be an added bonus if you had:\n \n Experience in AI, cloud infrastructure, data centers, or high-growth technology companies   \n \n \n Familiarity with large-scale infrastructure or hardware-intensive business models   \n \n \n Experience with NetSuite ERP system    \n \n \n Exposure to international operations and multi-entity structures   \n \n Key employee benefits in the US: \n \n Health insurance:  100% company-paid medical, dental, and vision coverage for employees and families.\n 401(k) plan:  Up to 4% company match with immediate vesting.\n Parental leave:  20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.\n Remote work reimbursement:  Up to $85/month for mobile and internet.\n Disability \u0026 life insurance : Company-paid short-term, long-term and life insurance coverage.\n Pay Transparency \n We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.\n ","salary_min":139600,"salary_max":174500,"location":"United States","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["cloud","fintech"],"apply_url":"https://careers.nebius.com/?gh_jid=4953386101","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-19T15:44:02Z","expires_at":"2026-09-29T13:45:01.270549Z","created_at":"2026-08-25T18:31:42.941216Z","updated_at":"2026-08-30T13:45:01.403831Z","company_name":"Nebius","company_slug":"nebius","company_logo_url":"https://www.google.com/s2/favicons?domain=nebius.com\u0026sz=128","quality_score":85,"url":"https://aidevboard.com/job/763c177b-536e-4ae5-97f2-d56f3f480ec4"},{"id":"d7846bce-e9da-41c0-9752-878f5043c1fc","company_id":"f5ee7284-a657-4da2-b351-cb806a3681cd","title":"Sr. Security Engineer - GRC Fintech \u0026 Financial Services","slug":"security-engineer-grc-fintech-financial-services-8927f1de","description":"SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.  Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. \n ABOUT THE ROLE: \n We are seeking an experienced Governance, Risk, and Compliance (GRC) Engineer focused on fintech and financial services regulation to help scale compliance for SpaceXAI and xMoney. As we operate deeper in regulated financial environments, maintaining a robust, transparent, and technically sound GRC program is critical. You will architect the systems and processes that automate trust — a pragmatic operator who understands that GRC exists to enable the business, balancing rigorous standards with the velocity of a high-growth company. The ideal candidate brings hands-on fintech compliance experience (PCI DSS, NYDFS, FFIEC), fluency in data privacy frameworks (GDPR, CCPA), and GRC engineering skills: Compliance-as-Code, continuous evidence collection, and deep partnership with engineering so controls are designed into the platform rather than bolted on after the fact.\n  \n This role may also include additional tasks and responsibilities as needed to support the team and evolving business priorities. \n RESPONSIBILITIES: \n \n Own and evolve financial services and payments compliance posture across PCI DSS, NYDFS (including 23 NYCRR 500), FFIEC guidance, and related banking/fintech regulatory expectations supporting xMoney across relevant jurisdictions.\n Build and maintain Compliance-as-Code capabilities — policy-as-code, automated control validation, continuous evidence collection, and monitoring integrated into CI/CD — so audit readiness scales with the business rather than depending on manual, point-in-time checks.\n Operate and extend GRC platforms (e.g., Vanta) as the backbone for control mapping, evidence management, and continuous compliance; integrate with cloud, identity, logging, and engineering systems to reduce administrative bottlenecks.\n Partner with Architects and Engineering Leads to bake compliance and privacy requirements; translate complex regulatory obligations into concrete technical implementations and auditor-ready narratives without slowing development.\n Design, implement, and validate technical controls relevant to fintech environments (cardholder data environment scoping and segmentation, access control, logging, encryption, change management, vulnerability management) — not just document them.\n Operate the cybersecurity and compliance risk register — identify, quantify, and track risks, distinguishing theoretical gaps from meaningful business and regulatory risk.\n Lead risk assessments and compliance reviews for new products, payment flows, features, vendors, and architectural changes that affect the regulated attack surface.\n Own and cultivate relationships with external auditors, assessors (e.g., QSAs where applicable), and regulators; serve as the bridge between auditors and internal teams so requests are reasonable, clear, and relevant to our stack.\n Develop, maintain, and continuously improve policies, standards, and procedures aligned to PCI, NYDFS, FFIEC, privacy laws, and complementary frameworks (e.g., SOC 2, ISO 27001) where they overlap.\n Champion pragmatic governance — prioritize issues that represent real security or business risk over checkbox compliance.\n \n BASIC QUALIFICATIONS: \n \n Bachelor's degree in computer science, Information Security, Cybersecurity, or in an engineering/STEM field.\n 8+ years of experience in GRC, security compliance, or technology audit roles in fintech, banking, payments, or other heavily regulated financial environments.\n  Hands-on experience with PCI DSS and at least one of NYDFS (23 NYCRR 500) or FFIEC cybersecurity/IT examination guidance — including implementing or operating controls, not only reading the requirements.\n Experience with Compliance-as-Code practices and GRC automation tooling (e.g., Vanta, or similar), with a bias toward continuous monitoring and reducing manual evidence collection.\n Technical fluency sufficient to speak the language of engineering, cloud (AWS/GCP/Azure), and security architecture, and to anticipate how design decisions impact risk and compliance.\n \n PREFERRED SKILLS AND EXPERIENCE: \n \n 10+ years of security compliance, GRC engineering, or technology audit-related experience in fintech or financial services.\n Hands-on experience implementi","salary_min":152000,"salary_max":258000,"location":"New York, NY","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["payments","security","fintech"],"apply_url":"https://job-boards.greenhouse.io/xai/jobs/5198194007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-29T01:46:47Z","expires_at":"2026-09-29T13:33:54.55487Z","created_at":"2026-07-29T14:03:59.496372Z","updated_at":"2026-08-30T13:33:54.693718Z","company_name":"xAI","company_slug":"xai","company_logo_url":"https://www.google.com/s2/favicons?domain=x.ai\u0026sz=128","quality_score":85,"url":"https://aidevboard.com/job/d7846bce-e9da-41c0-9752-878f5043c1fc"},{"id":"84f78c85-5de6-49ef-834c-0710949e9f37","company_id":"a0000000-0000-0000-0000-000000000001","title":"Senior Manager, Financial Reporting","slug":"senior-manager-financial-reporting-c2774e9d","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the Role \n We are seeking an experienced Financial Reporting accountant to join our Finance team at Anthropic. In this role, you will be responsible for executing key aspects of our financial reporting processes, ensuring compliance with US GAAP, and supporting the implementation and optimization of our reporting systems. Reporting to the Financial Reporting Lead, you will play an important role in maintaining robust reporting frameworks that support our growth while upholding the highest standards of accuracy and transparency. You will work closely with cross-functional teams to prepare timely and accurate financial statements, support external audit processes, and drive continuous improvement in our reporting capabilities.\n This role offers the opportunity to contribute to the financial reporting infrastructure of a leading AI company while working at the forefront of transformative technology.\n Responsibilities: \n \n \n Prepare and review external financial reporting deliverables, including quarterly and annual financial statements, ensuring full compliance with US GAAP and applicable reporting standards\n \n Execute month-end, quarter-end, and year-end close processes, coordinating with accounting teams to ensure timely and accurate completion\n \n Conduct technical accounting research and prepare documentation for complex transactions, including stock-based compensation (ASC 718), derivatives (ASC 815), lease accounting (ASC 842), as well as supporting implementing new accounting standards\n \n Support the implementation and day-to-day operation of Workiva for financial reporting, controls documentation and compliance\n \n Serve as a key point of contact with external auditors, coordinating audit requests, preparing supporting documentation, and ensuring efficient completion of audit procedures\n \n Support the design and implementation of internal controls over financial reporting (ICFR) \n \n Partner with the Finance Systems team to ensure seamless integration between ERP systems and reporting platforms\n \n Develop and maintain accounting policies and procedures documentation\n \n Collaborate with Legal, Investor Relations, Tax, Equity Accounting and Finance \u0026 Strategy teams to ensure alignment between management and external reporting\n \n Contribute to special projects as needed, including system implementations, process improvements, and reporting automation initiatives\n \n You may be a good fit if you: \n \n \n Bachelor's degree in accounting\n \n Hold a CPA license (or equivalent) or are actively pursuing CPA (or equivalent) certification\n \n 10+ years of accounting experience, including experience in public accounting\n \n Possess expertise in US GAAP and SEC reporting experience is a plus\n \n Hands-on experience using Workiva or similar financial reporting platforms and are comfortable optimizing workflows within these tools\n \n Proficient with ERP systems; Workday Financials is a plus\n \n Experience supporting SOX compliance programs and working with external auditors\n \n Demonstrate exceptional attention to detail while maintaining the ability to see the big picture\n \n Effectively communicate complex accounting concepts to non-finance stakeholders\n \n Thrive in fast-paced, dynamic environments and can adapt quickly to changing priorities\n \n Passionate about building scalable processes and systems supporting organizational grow\n \n Care about the societal impacts of your work and are excited about Anthropic's mission to build safe, beneficial AI\n \n Strong Excel and data manipulation skills; experience with Python or SQL for reporting automation is a plus\n The annual compensation range for this role is listed below. \n For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\n Annual Salary:\n $190,000 — $230,000 USD \n Logistics \n Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\n Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience\n Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\n Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\n Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make ev","salary_min":190000,"salary_max":230000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["alignment","fintech"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5248494008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-04T18:14:11Z","expires_at":"2026-09-29T13:30:34.159413Z","created_at":"2026-07-16T14:00:35.179658Z","updated_at":"2026-08-30T13:30:34.30051Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":85,"url":"https://aidevboard.com/job/84f78c85-5de6-49ef-834c-0710949e9f37"},{"id":"261915f5-b06f-4d4a-9bf0-023367871ad2","company_id":"a355eb2f-63c3-4c0a-803d-bc2d8312b6d8","title":"Software Engineer, Financial Engineering","slug":"software-engineer-financial-engineering-b07b07f7","description":"About the team\n\nOpenAI’s Applied AI organization turns our latest model capabilities into products used by hundreds of millions of consumers, developers, and organizations worldwide. Our teams build the product experiences and platform foundations behind ChatGPT, Codex, our API platform, and offerings for businesses, enterprises, educational institutions, and other customers.\n\nFinancial Engineering powers how customers purchase, access, and pay for these products. We build the systems behind pricing and packaging, checkout, payments, subscriptions, usage-based billing, credits, entitlements, invoicing, and the broader order-to-cash lifecycle. Our work spans consumer subscriptions, self-serve businesses, sophisticated enterprise agreements, developer usage, and emerging monetization models.\n\nThese systems sit at the intersection of product experience and financial infrastructure. They must make it easy for customers to adopt OpenAI products while maintaining strong guarantees around correctness, reliability, security, reconciliation, and auditability. We partner closely with Product, Data Science, Finance, Accounting, Risk, Operations, and Go-to-Market teams to launch new offerings and build a financial platform that can evolve with OpenAI’s rapidly growing product portfolio.\n\n \n\nWe are looking for an experienced engineer to help architect and build the next generation of these systems.\n\n\n\nIn this role, you will:\n\n - Have 5+ years of professional software engineering experience building and operating production backend, platform, or distributed systems.\n\n - Have strong fundamentals in API design, data modeling, storage systems, transactional workflows, and event-driven architecture.\n\n - Have experience building systems where correctness, reliability, observability, security, or data integrity are especially important.\n\n - Are comfortable owning ambiguous, business-critical problems from initial definition through launch and long-term operation.\n\n - Bring a product-oriented mindset and care about creating simple, trustworthy experiences for both external customers and internal users.\n\n - Communicate clearly with technical and non-technical partners and enjoy working closely with Product, Finance, Accounting, Operations, Data, and Go-to-Market teams.\n\n - Make thoughtful tradeoffs between near-term delivery and long-term system quality.\n\n - Move quickly and independently in an environment where requirements evolve, priorities compete, and the right solution is not always obvious.\n\nNice to Have:\n\n - Experience with payments, subscriptions, billing, pricing, credits, entitlements, invoicing, revenue systems, or other monetization infrastructure.\n\n - Experience with high-scale financial or transactional systems, reconciliation workflows, compliance requirements, or audit controls.\n\n - Experience building shared platforms, APIs, frameworks, or developer tools used by multiple product teams.\n\nOpenAI US Applicant Privacy Policy  https://cdn.openai.com/policies/u-s-employee-and-contractor-privacy-policy.pdf\n\nWe are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg\u0026d=57018692298241.\n\n.\n\n\n\nAbout OpenAI\n\nOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. \n\nWe are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. \n\nFor additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf.\n\nBackground checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data co","location":"San Francisco, CA","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"senior","tags":["distributed-systems","api-design","payments","fintech"],"apply_url":"https://jobs.ashbyhq.com/openai/4ef5bf23-cf0e-4b97-a639-11f963c99b88/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-28T17:41:41.133Z","expires_at":"2026-09-29T13:30:48.31655Z","created_at":"2026-04-13T09:36:11.358154Z","updated_at":"2026-08-30T13:30:48.46263Z","company_name":"OpenAI","company_slug":"openai","company_logo_url":"https://www.google.com/s2/favicons?domain=openai.com\u0026sz=128","quality_score":60,"url":"https://aidevboard.com/job/261915f5-b06f-4d4a-9bf0-023367871ad2"},{"id":"9ce22a63-3e75-4ebd-bc76-349a7e026a51","company_id":"794d18c1-1baa-431c-b63f-c4d34b6441e6","title":"Director of Product Management, Financial Risk Modeling","slug":"director-of-product-management-ai-generation-engine-9de2dc6d","description":"ABOUT SANDBOXAQ\n\nSandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors.\n\nWe are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders.\n\nAt SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact.\n\n\n\n\nABOUT THE TEAM\n\nThe SandboxAQ AI Generation Engine (SAIGE) team’s mission is to accelerate SandboxAQ’s mission of “Deep Impact at Scale” with a focus on quantitative AI and rapid innovation. More specifically, the SAIGE team aims to:\n\n - Build next-generation AI capabilities that establish SandboxAQ as the global pacesetter in quantitative AI.\n\n - Identify, incubate, prototype, and launch new AI products for high-potential and longer-term use cases, proving (or disproving) their viability as high-impact, highly profitable business lines.\n\nThe SAIGE team operates on the following principles: Prototype with Velocity, Explore Boldly, Fail Smart, Learn Fast, Look Forward, and Share Knowledge.\n\nOur current top priority use case is leveraging AI and LQMs to solve some of the most impactful problems in the Finance and Insurance industries.\n\n\n\n\nTHE OPPORTUNITY \n\nAs the Director of Product Management for the AI Generation Engine (SAIGE), you will be the PM lead for the team and a key partner to engineering, research, and user research. You will:\n\n - Own the product strategy and execution for our efforts in Finance \u0026 Risk Modeling, partnering closely with financial services and insurance customers to understand their workflows, risk models, and decision-making processes.\n\n - Lead rapid prototyping and innovation across a broad range of new ideas and domains, driving 0→1 product discovery, experimentation, and incubation of high-potential use cases.\n\n - Operate in a highly ambiguous, fast-changing environment, providing clarity on priorities, making pragmatic trade-offs, and ensuring we ship impactful prototypes and products.\n\nThis role is ideal for a seasoned product leader who is energized by uncertainty, enjoys working across disciplines (UXR, engineering, research, business), and is excited to build new AI and quantitative products from the ground up.\n\n\n\n\nKEY RESPONSIBILITIES\n \n\n\nLEAD PRODUCT STRATEGY IN FINANCE \u0026 RISK MODELING\n\n - Own the product vision, roadmap, and execution for our Finance/Risk portfolio, with a focus on financial services and insurance (e.g., portfolio risk, capital modeling, risk analytics, underwriting, and related workflows).\n\n - Develop a deep understanding of customer contexts, including current tools, models, and data flows (e.g., portfolio / risk modeling systems, vendor platforms, internal analytics stacks).\n\n - Partner with quantitative researchers, ML engineers, and domain experts to translate customer problems into clear product requirements and model/data needs.\n\n - Define success metrics and validation strategies to compare our approaches against existing PML/ERM and portfolio views, and to demonstrate differentiated value.\n\n\nDRIVE RAPID PROTOTYPING AND 0→1 INNOVATION\n\n - Identify, evaluate, and prioritize new AI / LQM use cases across multiple domains (beyond Finance/Risk), from early signals to clearer opportunities.\n\n - Lead 0→1 product discovery: problem framing, hypothesis development, lightweight customer validation, and rapid iteration on prototypes.\n\n - Work with engineering and research to scope experiments that are small enough to move quickly but meaningful enough to answer key questions.\n\n - Establish and champion a rigorous but pragmatic approach to ruthless prioritization, ensuring the team focuses on the highest-impact opportunities.\n\n\nBUILD STRONG CUSTOMER AND STAKEHOLDER RELATIONSHIPS\n\n - Serve as a trusted product partner to senior stakeholders at key customers (e.g., heads of risk, portfolio managers, actuaries, CROs), speaking credibly about risk models, scenarios, and portfolio decisions.\n\n - Lead customer conversations from initial discovery through pilot definition and ongoing adoption, connecting customer needs to the SAIGE roadmap.\n\n - Communicate progress, learnings, and recommendations clearly to internal and external stakeholders, including executives.\n   \n   \n\n\nESSENTIAL SKILLS \u0026 EXPERIENCE \n\nYou are a senior product leader who is ","location":"United States","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"lead","tags":["security","data-pipeline","llm","agents","fintech"],"apply_url":"https://jobs.ashbyhq.com/sandboxaq/3eabb716-eaef-432e-ad88-f3e16d01e54b/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-25T22:17:33.53Z","expires_at":"2026-09-29T13:48:33.498497Z","created_at":"2026-04-17T02:26:32.120203Z","updated_at":"2026-08-30T13:48:33.632739Z","company_name":"SandboxAQ","company_slug":"sandboxaq","company_logo_url":"https://www.google.com/s2/favicons?domain=sandboxaq.com\u0026sz=128","quality_score":60,"url":"https://aidevboard.com/job/9ce22a63-3e75-4ebd-bc76-349a7e026a51"},{"id":"93e9c88a-e6cf-435b-8755-6dd440de3be1","company_id":"97187e1c-a220-4e7e-aa1e-cd5342f434c1","title":"Data Analyst, Financial Data Engineering","slug":"data-analyst-financial-data-engineering-28827e3d","description":"Who we are \n About Stripe \n Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. \n About the team \n Data Science at Stripe is a vibrant community where data analysts and data scientists learn and grow together. You'll work with some of the most fundamental data at Stripe, and use that data to help drive company-wide initiatives. We have a variety of Data Analytics roles and teams across Stripe and Data Analysts are hired in line with the business needs and domain of the organization they will support.\n What you’ll do \n In this role, you'll partner deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. You'll design, build, and own the scalable data infrastructure that powers analytics and reporting across the company.\n Day to day, you'll translate complex business requirements into reliable data models, own end-to-end pipeline development from raw data ingestion to clean, consumption-ready datasets, and work with leaders to prioritize the highest-impact data investments. You'll go beyond building dashboards—you'll architect the data layer that makes self-service analytics possible and deliver actionable business recommendations through rigorous analysis and data storytelling.\n Responsibilities \n \n Design, build, and maintain scalable data pipelines and ETL/ELT workflows that power production-grade financial reporting, risk measurement, and operational decisioning for Treasury Finance\n Leverage AI tools (code assistants, LLM-based agents) to accelerate pipeline development, data quality automation, reconciliation, and documentation - expanding technical scope while maintaining quality.\n Model and transform raw data into clean, well-documented datasets that serve as the core foundations for decision making for Treasury Finance (e.g. float positions, cash explainability, risk exposures, liquidity management)\n Establish and enforce data quality standards through testing, monitoring, and alerting on pipeline health\n Establish and own data freshness SLAs, operational alerting, and incident response for your data domains - ensuring production reliability for risk and finance critical workflows\n Partner deeply with Treasury Finance, data scientists/analysts, and engineers to define data requirements and deliver trusted, reusable financial data products\n Partner deeply with Treasury Finance stakeholders to translate business requirements into data architecture decisions, anticipating needs and helping to drive data strategy rather than reacting to requests\n Build self-service tooling and analytics layer that empower stakeholders to access and explore trusted data autonomously\n \n Who you are \n We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. \n Minimum requirements \n \n 6+ years of full-time experience in Data Engineering, Analytics Engineering, Business Intelligence Engineering, or a related analytical role\n Proficiency in SQL, including complex query optimization and data modeling\n Proficiency in Python for data pipeline development, not just scripting\n Experience with distributed data frameworks like Spark to write and debug data pipelines\n Experience with workflow orchestration tools (e.g. Airflow, Flyte, or equivalent)\n Proven ability to design, implement, and maintain production-grade data pipelines and dashboards\n Good understanding of development processes and best practices like engineering standards, code reviews, and testing\n Ability to clearly communicate results and drive impact with cross-functional partners\n Experience owning production data products with defined quality standards, testing, and documentation\n \n Preferred qualifications \n \n Prior experience at a growth-stage internet or software company\n Prior experience working with Finance or Treasury teams \n Understanding of treasury and finance concepts (e.g., float positions, FX exposure, cash reconciliation, balance sheet usage, liquidity management)\n Experience with data quality frameworks, data contracts, tiering/classification, or SLA management\n Experience creating leadership-level reporting, such as QBRs and MBRs\n Experience building financial reporting infrastructure - e.g. automated treasury processes, regulatory reporting, or finance close\n Proficiency with AI tools (code assistants, LLM agents) to accelerate p","location":"New York, NY","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["llm","payments","agents","code-generation","data-pipeline","data-engineering","data-science","fintech"],"apply_url":"https://stripe.com/jobs/search?gh_jid=8070572","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-22T16:55:09Z","expires_at":"2026-09-29T13:34:34.61616Z","created_at":"2026-07-24T14:03:54.849511Z","updated_at":"2026-08-30T13:34:34.750918Z","company_name":"Stripe","company_slug":"stripe","company_logo_url":"https://www.google.com/s2/favicons?domain=stripe.com\u0026sz=128","quality_score":60,"url":"https://aidevboard.com/job/93e9c88a-e6cf-435b-8755-6dd440de3be1"},{"id":"5ad3b7ce-8f68-4c6a-aa8c-5ba5bfcd2a4d","company_id":"299deefe-9e73-4f52-ada7-dd8909d9b82b","title":"Software Engineer, Agent - Financial Services","slug":"software-engineer-agent-financial-services-49431520","description":"ABOUT US\n\nAt Sierra, we’re building a platform to enable every company in the world to build better, more human customer experiences with AI. We partner with industry leaders such as SoftBank, Uber, Rivian, CLEAR, and Sutter Health. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.\n\nWe are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.\n\nOur co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. \n\n\nABOUT THE FINANCIAL SERVICES TEAM\n\n - Our financial services customers span systemically important banks, neobanks committed to building more delightful banking software (1 in 3 of the world's leading banks use Sierra!), insurers that provide protection for life’s most challenging moments, vertically integrated ecosystems like Rocket Companies, and more. The decisions we make impact millions of end customers and billions of dollars in economic activity.\n\n - Our financial services team partners closely with these organizations to set their AI strategies and build modern tools that carefully handle moments when a person’s private anxiety meets an institution’s procedural muscle - the instant before a family learns whether they are pre-approved for a mortgage; the claustrophobic half hour after someone notices a fraudulent charge; the frustrating experience of losing a card and needing to order a new one.\n\n - Sierra’s Financial Services team is transforming the customer experience and building technology that makes the industry more accessible, human, and affordable for everyone.\n\n\nWHAT YOU’LL DO\n\n - Design and deliver production-grade AI agents https://sierra.ai/blog/meet-the-ai-agent-engineer: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce.\n\n - Drive the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way.\n\n - Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups in Silicon Valley, embedding AI agents across their entire business stack to drive innovation and efficiency.\n\n - Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product.\n\n\nEXAMPLE PROJECTS\n\nThese are some examples of projects that engineers on our team have worked on recently:\n\n - Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn\n\n - Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations\n\n - Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services!\n\n - Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development\n\n - Experiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customers\n\n\nWHAT YOU'LL BRING\n\n - Experience building and scaling end-to-end production systems.\n\n - Strong technical problem-solving skills, especially in fast-changing, ambiguous environments.\n\n - A builder and ti","location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["rag","agents","llm","healthcare","fintech"],"apply_url":"https://jobs.ashbyhq.com/sierra/ab98160c-9918-483c-af74-310535448972/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-02T23:16:06.001Z","expires_at":"2026-09-29T13:33:01.439443Z","created_at":"2026-07-03T14:02:32.046496Z","updated_at":"2026-08-30T13:33:01.579921Z","company_name":"Sierra","company_slug":"sierra","company_logo_url":"https://www.google.com/s2/favicons?domain=sierra.ai\u0026sz=128","quality_score":60,"url":"https://aidevboard.com/job/5ad3b7ce-8f68-4c6a-aa8c-5ba5bfcd2a4d"},{"id":"b74d8476-b394-4d48-a64e-8be8549f94dd","company_id":"794d18c1-1baa-431c-b63f-c4d34b6441e6","title":"Director of Product Management, Financial Risk Modeling","slug":"director-of-product-management-ai-generation-engine-edf2fedc","description":"ABOUT SANDBOXAQ\n\nSandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors.\n\nWe are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders.\n\nAt SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact.\n\n\nABOUT THE TEAM\n\nThe SandboxAQ AI Generation Engine (SAIGE) team’s mission is to accelerate SandboxAQ’s mission of “Deep Impact at Scale” with a focus on quantitative AI and rapid innovation. More specifically, the SAIGE team aims to:\n\n - Build next-generation AI capabilities that establish SandboxAQ as the global pacesetter in quantitative AI.\n\n - Identify, incubate, prototype, and launch new AI products for high-potential and longer-term use cases, proving (or disproving) their viability as high-impact, highly profitable business lines.\n\nThe SAIGE team operates on the following principles: Prototype with Velocity, Explore Boldly, Fail Smart, Learn Fast, Look Forward, and Share Knowledge.\n\nOur current top priority use case is leveraging AI and LQMs to solve some of the most impactful problems in the Finance and Insurance industries.\n\n \n\n\nTHE OPPORTUNITY \n\nAs the Director of Product Management for the AI Generation Engine (SAIGE), you will be the PM lead for the team and a key partner to engineering, research, and user research. You will:\n\n - Own the product strategy and execution for our efforts in Finance \u0026 Risk Modeling, partnering closely with financial services and insurance customers to understand their workflows, risk models, and decision-making processes.\n\n - Lead rapid prototyping and innovation across a broad range of new ideas and domains, driving 0→1 product discovery, experimentation, and incubation of high-potential use cases.\n\n - Operate in a highly ambiguous, fast-changing environment, providing clarity on priorities, making pragmatic trade-offs, and ensuring we ship impactful prototypes and products.\n\nThis role is ideal for a seasoned product leader who is energized by uncertainty, enjoys working across disciplines (UXR, engineering, research, business), and is excited to build new AI and quantitative products from the ground up.\n\n \n\n\nKEY RESPONSIBILITIES\n \n\n\nLEAD PRODUCT STRATEGY IN FINANCE \u0026 RISK MODELING\n\n - Own the product vision, roadmap, and execution for our Finance/Risk portfolio, with a focus on financial services and insurance (e.g., portfolio risk, capital modeling, risk analytics, underwriting, and related workflows).\n\n - Develop a deep understanding of customer contexts, including current tools, models, and data flows (e.g., portfolio / risk modeling systems, vendor platforms, internal analytics stacks).\n\n - Partner with quantitative researchers, ML engineers, and domain experts to translate customer problems into clear product requirements and model/data needs.\n\n - Define success metrics and validation strategies to compare our approaches against existing PML/ERM and portfolio views, and to demonstrate differentiated value.\n\n\nDRIVE RAPID PROTOTYPING AND 0→1 INNOVATION\n\n - Identify, evaluate, and prioritize new AI / LQM use cases across multiple domains (beyond Finance/Risk), from early signals to clearer opportunities.\n\n - Lead 0→1 product discovery: problem framing, hypothesis development, lightweight customer validation, and rapid iteration on prototypes.\n\n - Work with engineering and research to scope experiments that are small enough to move quickly but meaningful enough to answer key questions.\n\n - Establish and champion a rigorous but pragmatic approach to ruthless prioritization, ensuring the team focuses on the highest-impact opportunities.\n\n\nBUILD STRONG CUSTOMER AND STAKEHOLDER RELATIONSHIPS\n\n - Serve as a trusted product partner to senior stakeholders at key customers (e.g., heads of risk, portfolio managers, actuaries, CROs), speaking credibly about risk models, scenarios, and portfolio decisions.\n\n - Lead customer conversations from initial discovery through pilot definition and ongoing adoption, connecting customer needs to the SAIGE roadmap.\n\n - Communicate progress, learnings, and recommendations clearly to internal and external stakeholders, including executives.\n   \n    \n\n\nESSENTIAL SKILLS \u0026 EXPERIENCE \n\nYou are a senior product leader who","location":"Canada","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"lead","tags":["agents","security","llm","data-pipeline","fintech"],"apply_url":"https://jobs.ashbyhq.com/sandboxaq/a5897e7a-5453-4098-a16e-d8566a2c1992/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-27T16:33:16.454Z","expires_at":"2026-09-29T13:48:33.3679Z","created_at":"2026-05-28T14:19:23.651067Z","updated_at":"2026-08-30T13:48:33.533222Z","company_name":"SandboxAQ","company_slug":"sandboxaq","company_logo_url":"https://www.google.com/s2/favicons?domain=sandboxaq.com\u0026sz=128","quality_score":60,"url":"https://aidevboard.com/job/b74d8476-b394-4d48-a64e-8be8549f94dd"},{"id":"28c6fece-bc27-4aac-8ce3-29b278fbc5a0","company_id":"f89fd04c-cfce-4c9c-8081-99fef85c042d","title":"Remote Inbound Sales Agent (Fintech)","slug":"remote-inbound-sales-agent-fintech-fab1cbad","description":"Jerry is the #1 rated app for car owners. We help over 5 million people save money on insurance, repairs, and loans—all with an unexpected level of warmth, speed, and simplicity.\n\n\n\nWe’re hiring Remote Inbound Sales Agents from premier retail and customer-service backgrounds (Apple Store, Microsoft, Lululemon, Nordstrom, Disney, Costco) who know that world-class experience is built on listening, educating, and making people feel cared for. You’ve mastered high-touch service on the sales floor; now bring those skills to a fully remote career with huge earning potential and professional growth.\n\n\n\nWhy Your Background Fits:\n\n - Consultative, Not Transactional: Zero cold calling or high-pressure tactics. Customers come to us through our app asking for help, and you’re there to deliver peace of mind and tailored advice.\n\n - Educate Like a Specialist: Just like guiding someone to the right tech gear or specialized fit, you’ll translate complex insurance details into clear, easy-to-understand choices.\n\n - High-Energy Warmth: You know how to multitask in a fast-paced environment while keeping every customer interaction positive, personal, and effortless.\n\n\n\nHow You’ll Care for Our Customers:\n\n - Welcome Inbound Shoppers: Connect with customers who started their search in our app, creating an immediate sense of trust and active engagement over the phone.\n\n - Simplify the Complex: Uncover policy nuances, hidden discounts, and coverage gaps across 55+ carrier options so customers get the best possible protection for their budget.\n\n - Solve with Empathy: Listen closely to hesitations, resolve concerns with patience, and make purchasing insurance feel refreshingly simple.\n\n - Guide to Completion: Help customers finalize their ideal policy right on the spot, leaving them confident in their coverage.\n\n\n\nWhat You Bring:\n\n - The Service Standard: Experience in a high-standard retail, hospitality, or experience-driven environment (Apple, Lululemon, Nordstrom, Disney, etc.).\n\n - Empathetic Communication: A genuinely upbeat attitude, strong active listening skills, and the ability to connect naturally with people.\n\n - Tech-Savvy Multitasking: Comfort navigating internal tools and insurance platforms while maintaining a warm, fluid conversation.\n\n\n\nCompensation \u0026 Perks:\n\n - Hourly wage: $19.00 - $21.00 plus uncapped commissions (*Our most successful team members typically earn $100,000+ per year).\n\n - Fully Funded Licensing: We cover 100% of your P\u0026C licensing training and exam costs in your first two weeks.\n\n - Remote-First: 100% work-from-home with all computer equipment provided.\n\n - Full Benefits: Medical, dental, vision insurance, and 401(k) matching.\n\n - Flexible Schedules: Choose between a 5-day, 8-hour schedule or a 4-day, 10-hour workweek.\n\n\n\nWhile we appreciate your interest and application, due to the volume of applications we receive, only applicants under consideration will be contacted.\n\n\n\nPlease note: Jerry.ai http://Jerry.ai is only able to hire full-time salaried employees who currently reside in AZ, CA, CO, FL, GA, IL, MA, NC, NJ, NV, NY, OR, TN, TX, UT, VA, or Ontario, Canada, and full-time hourly employees who currently reside in AZ, FL, GA, NV, NY, NC, TN, TX, UT, or VA. Unfortunately, we cannot accept applications from candidates residing elsewhere at this time.\n\n\n\nJerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. \n\n\n\nJerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com\n\n\n\nThe successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. \n\n\n\nWe offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits.\n\n\n\nAbout Jerry.ai\n\nYour car and your home are your most expensive assets. And for most people, these aren't just purchases, they're the physical embodiment of the life you've worked hard to build. Yet the experience ","location":"Austin, TX","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"mid","tags":["agents","payments","fintech"],"apply_url":"https://jobs.ashbyhq.com/Jerry.ai/e930088f-0460-47cb-b847-062f2cc5177b/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-28T19:59:19.906Z","expires_at":"2026-09-29T13:44:50.536431Z","created_at":"2026-08-29T13:46:19.870332Z","updated_at":"2026-08-30T13:44:50.668079Z","company_name":"Jerry.ai","company_slug":"jerry-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=getjerry.com\u0026sz=128","quality_score":55,"url":"https://aidevboard.com/job/28c6fece-bc27-4aac-8ce3-29b278fbc5a0"},{"id":"76a130ac-fba9-4a11-b4b0-a0911a713385","company_id":"a355eb2f-63c3-4c0a-803d-bc2d8312b6d8","title":"Senior Manager, Financial Risk Management","slug":"senior-manager-financial-risk-management-2c776ef2","description":"ABOUT THE TEAM\n\nThe Internal Controls function sits within the broader Finance Risk Management (FRM) organization and plays a key role in strengthening the integrity, scalability, and reliability of OpenAI’s finance-critical operations.\n\nOur team designs and governs control frameworks that support accurate, transparent financial results and responsible business execution. We focus on business-process and operational controls across areas such as payments, equity, procure-to-pay, payroll and HR processes, strategic investments, M\u0026A, financial close, third-party dependencies, systems, and other high-risk workflows. We work closely with Controllership, Procurement, Legal, People, Corporate Development, Strategic Finance, Finance Systems, Compliance, and business operators to ensure processes are well-designed, well-documented, and audit-ready.\n\nAs part of FRM, we contribute to OpenAI’s overall financial risk posture by supporting audit readiness, third-party risk considerations, operational risk governance, systems oversight, and ongoing process improvement across the finance ecosystem. Together, we help build the foundation of trust and operational clarity needed for OpenAI to scale responsibly.\n\n\n\n\nABOUT THE ROLE\n\nWe’re seeking a Senior Manager, Financial Risk Management to help shape and scale OpenAI’s risk and controls framework across several dynamic business domains. This role will focus on identifying, prioritizing, and mitigating operational and financial risk across areas such as payments, equity, strategic investments, procurement, people processes, systems, third-party dependencies, and other finance-critical workflows.\n\nThis person will serve as a senior cross-functional partner to Finance, Controllership, Legal, People, Procurement, Corporate Development, Payments, Systems, and business operators to design and implement controls that are practical, scalable, and capable of holding up in a fast-changing environment with limited structure. The role requires someone with strong technical controls depth who can move fluidly between risk assessment, control design, program governance, and operational execution — translating ambiguous process risk into clear actions teams can adopt.\n\nThis role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.\n\n\n\n\nIN THIS ROLE, YOU WILL:\n\n - Lead risk and controls support across multiple finance-critical business domains, with a focus on building scalable foundations in a rapidly developing environment.\n\n - Assess risks across payments, equity, procurement flows, strategic investments, people processes and related systems.\n\n - Identify where the control environment is weakest or most exposed, and prioritize the highest-risk areas for remediation, control design, governance, or monitoring support.\n\n - Partner with operational, business, finance, legal, people, procurement, corporate development, and technical teams to design controls that are effective in practice and integrated into day-to-day workflows.\n\n - Translate risks into clear operational requirements, including ownership models, approval points, control objectives, monitoring expectations, reconciliations, evidence needs, system dependencies, and escalation paths.\n\n - Drive cross-functional remediation efforts where processes are unclear, fragmented, overly manual, inconsistently documented, or dependent on immature systems/data.\n\n - Help teams balance speed and control by implementing fit-for-purpose guardrails that support execution, preserve accountability, and avoid unnecessary friction.\n\n - Support new or changing processes, systems, deals, vendors, payment flows, and operating models by ensuring risk, control, governance, and evidence considerations are addressed upfront.\n\n - Contribute to broader ICFR/SOX and operational risk readiness efforts by strengthening control design, documentation, testing readiness, issue management, and leadership visibility across high-impact processes.\n   \n\n\nYOU MIGHT THRIVE IN THIS ROLE IF YOU HAVE:\n\n - 10+ years of experience in financial risk management, operational risk, internal controls, SOX/ICFR, internal audit, controllership, finance transformation, or related risk/control roles.\n\n - Experience working with at least some domains such as payments, procurement, strategic investments, M\u0026A integration, HR/people processes, financial close, controllership, third-party risk, or other operational business processes.\n\n - Strong judgment on how to design the right level of control in a fast-scaling company, including where lightweight guardrails are sufficient, where formal ICFR/SOX controls are required, and where automation or monitoring is the better answer.\n\n - Experience working in environments with evolving systems, incomplete process structure, unclear ownership, or fragmented data — and bringing order without over-engineering.\n\n - Demonstrated ability to partner effe","location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["payments","fintech"],"apply_url":"https://jobs.ashbyhq.com/openai/1507068a-fe07-43e4-aaea-6fd1a00dc8d5/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-21T15:13:46.135Z","expires_at":"2026-09-29T13:31:10.622843Z","created_at":"2026-06-28T14:00:41.04628Z","updated_at":"2026-08-30T13:31:10.762751Z","company_name":"OpenAI","company_slug":"openai","company_logo_url":"https://www.google.com/s2/favicons?domain=openai.com\u0026sz=128","quality_score":55,"url":"https://aidevboard.com/job/76a130ac-fba9-4a11-b4b0-a0911a713385"},{"id":"4a0dfb86-72a5-4889-99ef-359c2d920ce6","company_id":"299deefe-9e73-4f52-ada7-dd8909d9b82b","title":"Strategist, Agent Development - Financial Services","slug":"strategist-agent-development-financial-services-50cbc787","description":"ABOUT US\n\nAt Sierra, we’re building a platform to enable every company in the world to build better, more human customer experiences with AI. We partner with industry leaders such as SoftBank, Uber, Rivian, CLEAR, and Sutter Health. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.\n\nWe are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.\n\nOur co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. \n\n\nABOUT THE FINANCIAL SERVICES TEAM\n\n - Our financial services customers span systemically important banks, neobanks committed to building more delightful banking software (1 in 3 of the world's leading banks use Sierra!), insurers that provide protection for life’s most challenging moments, vertically integrated ecosystems like Rocket Companies, and more. The decisions we make impact millions of end customers and billions of dollars in economic activity.\n\n - Our financial services team partners closely with these organizations to set their AI strategies and build modern tools that carefully handle moments when a person’s private anxiety meets an institution’s procedural muscle - the instant before a family learns whether they are pre-approved for a mortgage; the claustrophobic half hour after someone notices a fraudulent charge; the frustrating experience of losing a card and needing to order a new one.\n\n - Sierra’s Financial Services team is transforming the customer experience and building technology that makes the industry more accessible, human, and affordable for everyone.\n\n\nWHAT YOU’LL DO\n\nAs an Agent Strategist https://sierra.ai/blog/agent-strategist-your-phd-in-applied-ai, you own how Sierra’s AI agents come to life for our customers — from first pilot to a production agent handling thousands of conversations a day. You sit at the intersection of product, building agents and customer-facing work, and stay just as close to the technology as you are to the people you build for. You transform a customer’s thorniest, highest-stakes problems into agents that measurably move their business.\n\n - Own the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle. Take agents from initial scope through conversation design, tooling, and evaluation, to launch and continuous iteration in production — translating business goals into an agent that outperforms, and tuning relentlessly until it’s the best version of itself in the real world. You’ll have real ownership and autonomy over the outcome.\n\n - Be the trusted strategic advisor to enterprise leaders. Sit shoulder-to-shoulder with our customers’ executives, understand what success actually means to their business, and shape the AI strategy that gets them there.\n\n - Partner with the customer’s working teams day to day. Run working sessions, troubleshoot the agent as issues come up, and make the calls that keep the build on track for launch.\n\n - Directly impact product. Surface unmet needs from your customer work, and feed them back to research and platform to shape where Sierra goes next.\n\n\nEXAMPLE PROJECTS\n\nThese are the kinds of projects that strategists on our team have worked on recently:\n\n - Scope and launch a subscription-retention agent for a large telecommunications or media company that consistently outperforms human agents at saving at-risk customers.\n\n - Stand up an agent for a commerce customer that troubleshoots a broken device end-to-end and personalizes product recommendations in the same conversation.\n\n - Redesign the conversation flows for a financial services agent so it can handle complex, regulated interactions — and convert a pilot into a multi-team production deployment. See our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services for examples.\n\n - Partner with product on a net-new capability — a new agent architecture or self-service tooling — using a live customer as the design partner.\n\n - Define the evaluation and quality bar for a new agent, then use those metrics to drive a measurable lift in outcome https://sierra.ai/blog/outcome-based-pricing-for-ai-agents week over week.\n\n\nWHAT YOU’LL BRING\n\n - Customer o","location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["agents","llm","fintech"],"apply_url":"https://jobs.ashbyhq.com/sierra/2a76bb97-2719-413c-94ad-775553e63abd/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-22T19:37:43.997Z","expires_at":"2026-09-29T13:32:58.377912Z","created_at":"2026-04-13T09:38:02.69212Z","updated_at":"2026-08-30T13:32:58.516899Z","company_name":"Sierra","company_slug":"sierra","company_logo_url":"https://www.google.com/s2/favicons?domain=sierra.ai\u0026sz=128","quality_score":55,"url":"https://aidevboard.com/job/4a0dfb86-72a5-4889-99ef-359c2d920ce6"},{"id":"0b44b202-f02c-48a1-a9e3-76f636a27854","company_id":"a355eb2f-63c3-4c0a-803d-bc2d8312b6d8","title":"Product Manager, Financial Engineering","slug":"product-manager-financial-engineering-bf24d85a","description":"About the Team\nOur team turns OpenAI’s latest model capabilities into polished, trusted products for consumers and developers. We build the end-to-end experiences including product surfaces, platform layers, and developer workflows that make cutting-edge AI accessible, useful, and dependable at scale.\n\nOpenAI’s Financial Engineering (FinEng) team powers how revenue flows through our products - pricing and packaging, checkout, payments, subscriptions, and the financial infrastructure behind them. We partner closely with Engineering, Data Science, Risk, Finance, and Go-to-Market to make paying for OpenAI products seamless, reliable, and efficient worldwide.\n\nWe pair rapid innovation with a rigorous approach to responsible deployment. Safety and trust are built into how we design, ship, and learn from real-world usage, so these tools deliver meaningful value while aligning with OpenAI’s mission.\n\n\nAbout the Role\n\nWe are seeking an experienced Product Manager to scale the product efforts and technical strategy within our Financial Engineering team. The ideal candidate has prior experience in billing, finance, and accounting, ideally also building solutions for commercial users of varying sizes from small scale to enterprise. This role requires close collaboration with our product, finance, operations, and engineering teams.\n\nThis position is based in San Francisco, CA. We utilize a hybrid work model with 3 days in the office per week and offer relocation assistance to new employees.\n\nIn this role, you will:\n\n - Develop a strategy and roadmap to efficiently scale the billing operations and customer experience behind OpenAI’s growing product portfolio\n\n - Identify and execute opportunities to improve the order-to-cash processing for OpenAI’s largest and most strategic customers\n\n - Build AI powered tooling for key partner teams such as Finance and User Operations to drive better decisions and business outcomes\n\n - Collaborate with other product teams to defining OpenAI’s evolving monetization strategies and the capabilities we need in our core billing infrastructure\n\n - Use data to better understand internal and external user needs and guide future product development\n\n - Collaborate with a wide range of stakeholders, including teams in product, finance, operations and engineering.\n\nYou might thrive in this role if you:\n\n - Have 6+ years of product management or related industry experience.\n\n - Obtained a bachelor's degree in Accounting, Finance, Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field.\n\n - Have proven experience working in a technical environment with cross-functional teams to drive product vision, define requirements, and guide the team through key milestones.\n\n - Have world-class communication and collaboration skills in working with a wide variety of cross-functional stakeholders\n\n - Showcase strong leadership, organizational, and execution skills, along with proven communication abilities.\n\n\n\n\n\nAbout OpenAI\n\nOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. \n\nWe are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. \n\nFor additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf.\n\nBackground checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and prote","location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["payments","fintech"],"apply_url":"https://jobs.ashbyhq.com/openai/0f4da2b4-df8a-4560-809d-d0a6ac1ad9bc/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-04T16:56:31.623Z","expires_at":"2026-09-29T13:31:06.90905Z","created_at":"2026-05-07T14:00:59.030794Z","updated_at":"2026-08-30T13:31:07.052076Z","company_name":"OpenAI","company_slug":"openai","company_logo_url":"https://www.google.com/s2/favicons?domain=openai.com\u0026sz=128","quality_score":55,"url":"https://aidevboard.com/job/0b44b202-f02c-48a1-a9e3-76f636a27854"},{"id":"56ac8611-5aec-4b63-af91-a4ca6f399909","company_id":"efa7b5df-9fae-4a32-867b-00d013973eaa","title":"Financial Crimes \u0026 Risk Data Analyst ","slug":"financial-crimes-risk-data-analyst-70af64fe","description":"About the Company\n\nRain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world.\n\nYou will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk.\n\n\n\nOur Ethos\n\nWe believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company.\n\n\n\nAbout the Team\n\nThis role sits within Rain’s Financial Crimes Risk Management (FCRM) function and supports the data, technology, analytical, and reporting needs of the Financial Intelligence Unit (FIU).\n\nThe position plays a critical role in strengthening transaction monitoring, investigative analytics, and risk segmentation frameworks that underpin Rain’s financial crimes program. Reporting to the Director of Compliance Data \u0026 Analytics, this individual will work closely with FIU Investigations and Compliance leadership to enhance the effectiveness, scalability, and regulatory defensibility of monitoring controls across the organization.\n\n\n\nWhat you’ll do\n\n - Assist in continuously improving transaction monitoring rules across card, ACH, wire, and digital asset activity to increase detection quality and reduce false positives\n\n - Conduct deep-dive investigations into emerging risk patterns and convert findings into scalable, production-ready monitoring logic\n\n - Analyze alert and case data to evaluate rule performance (e.g., false positive rates, alert-to-case conversion, escalation outcomes) and recommend data-driven optimizations\n\n - Partner with Compliance Investigations to identify typologies and ensure monitoring logic reflects real-world risk signals and regulatory expectations\n\n - Support the design and refinement of onboarding and KYC/KYB risk segmentation frameworks\n\n - Build and maintain dashboards and recurring reporting that provide visibility into rule effectiveness, operational efficiency, and overall risk exposure\n\n - Perform ad hoc risk analyses across customer cohorts, geographies, products, and transaction behaviors to identify outliers or control gaps\n   \n\nYou are likely to succeed if you have:\n\n - 2–4+ years of experience in risk analytics, financial crimes analytics, compliance data, fraud analytics, or related fields (fintech, banking, or payments preferred)\n\n - Hands-on experience with blockchain intelligence tools such as Chainalysis, TRM Labs, Elliptic, or similar platforms\n\n - Strong SQL skills (ability to write complex joins, aggregations, window functions, and performance-optimized queries on large datasets)\n\n - Experience analyzing transaction-level data and building or optimizing rule-based monitoring logic\n\n - Familiarity with AML/BSA concepts and transaction monitoring frameworks\n\n - Ability to translate ambiguous regulatory requirements into structured, data-driven logic\n\n - Strong analytical thinking and ability to independently structure open-ended problems\n\n\n\nBonus attributes:\n\n - Python experience (pandas, Polars, or similar) for deeper analysis and automation\n\n - Familiarity with KYC/KYB vendors (e.g., Sumsub, Alloy, Persona, etc.)\n\n - Experience designing Retool workflows, internal tools, or compliance dashboards\n\n - Exposure to card network data, ACH flows, wire transactions, or digital asset monitoring\n\n - Experience supporting regulatory exams or external audits\n\n\n\nThings that enable a fulfilling, healthy and happy experience at Rain:\n\nUnlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves.\n\nFlexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace.\n\nEasy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsid","location":"District of Columbia","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["payments","agents","fintech"],"apply_url":"https://jobs.ashbyhq.com/rain/acfe80ba-5983-4d35-9375-870b1f906acf/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-03-05T03:35:42.413Z","expires_at":"2026-09-29T13:43:13.950702Z","created_at":"2026-04-16T14:46:37.919427Z","updated_at":"2026-08-30T13:43:14.090958Z","company_name":"Rain AI","company_slug":"rain-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=rain.ai\u0026sz=128","quality_score":55,"url":"https://aidevboard.com/job/56ac8611-5aec-4b63-af91-a4ca6f399909"},{"id":"7fba66b6-4442-43e0-8261-f7b6dd7dfd24","company_id":"a355eb2f-63c3-4c0a-803d-bc2d8312b6d8","title":"Data Scientist, Financial Engineering ","slug":"data-scientist-financial-engineering-531aaa02","description":"ABOUT THE TEAM\n\nOpenAI’s Financial Engineering (FinEng) team powers how revenue flows through our products—pricing \u0026 packaging, checkout, payments, subscriptions, and the financial infrastructure behind them. We partner with Product, Engineering, Risk, Finance, and Go-to-Market to make paying for OpenAI products seamless, reliable, and efficient worldwide.\n\n\n\n\nABOUT THE ROLE\n\nAs a Data Scientist on FinEng, you’ll own the analytics and experimentation that improve our checkout and payments, subscriptions, and pricing \u0026 monetization systems. You’ll define the metrics that matter, build the source-of-truth data assets, and design experiments that increase conversion, reduce churn and payment failures, and expand global payment method coverage. Your work will directly influence revenue, customer experience, and how we scale internationally.\n\nThis role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.\n\n\n\n\nIN THIS ROLE, YOU WILL\n\n - Own checkout \u0026 payments analytics and experimentation across methods and locales (e.g., bank transfers, emerging rails), improving conversion while monitoring risk and latency.\n\n - Build and run the experimentation program for in-house checkout—define success metrics and guardrails, execute staged rollouts, and use offline incrementality when online tests aren’t feasible.\n\n - Create operational visibility and source-of-truth data with FinEng Data Engineering—land team-level metrics, SLAs, and self-serve dashboards that drive proactive action.\n\n - Lead subscription, retention, and monetization analytics—ship launch-readiness for new subscription features, reduce involuntary churn (e.g., targeted retrials/nudges), and develop elasticity/FX frameworks toward pricing optimality.\n   \n   \n\n\nYOU MIGHT THRIVE IN THIS ROLE IF YOU HAVE\n\n - 5+ years in a quantitative role (data science, product analytics, or experimentation) in high-growth or fintech environments\n\n - Fluency in SQL and Python, with a track record designing and interpreting A/B tests and quasi-experiments\n\n - Experience building product metrics from scratch and operationalizing them for decision-making\n\n - Excellent communication skills with PMs, engineers, risk/finance partners, and executives\n\n - Strategic instincts beyond significance tests—clear thinking about tradeoffs (conversion vs. risk vs. cost vs. user experience)\n\n\nYOU COULD BE AN ESPECIALLY GREAT FIT IF YOU HAVE\n\n - Payments, checkout, or subscription analytics experience (PSPs, bank rails, disputes/refunds, risk, e-commerce)\n\n - Background in offline incrementality methods, uplift modeling, CUPED/causal inference, or counterfactual evaluation\n\n - Experience with internationalization/local payments, FX, and pricing \u0026 packaging strategy\n\n - Comfort building operational analytics (alerting, SLIs/SLOs) and partnering closely with data engineering\n\n\n\nAbout OpenAI\n\nOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. \n\nWe are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. \n\nFor additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf.\n\nBackground checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.\n\nTo notify OpenAI th","location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["payments","fintech","data-science"],"apply_url":"https://jobs.ashbyhq.com/openai/898a87fb-4cb8-450e-9840-ee5dc710a57d/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2025-09-30T19:33:26.431Z","expires_at":"2026-09-29T13:30:56.427025Z","created_at":"2026-04-13T09:36:19.903688Z","updated_at":"2026-08-30T13:30:56.612058Z","company_name":"OpenAI","company_slug":"openai","company_logo_url":"https://www.google.com/s2/favicons?domain=openai.com\u0026sz=128","quality_score":55,"url":"https://aidevboard.com/job/7fba66b6-4442-43e0-8261-f7b6dd7dfd24"}],"page":1,"per_page":20,"total":22,"total_is_exact":true,"total_pages":2}