{"access":{"catalog_url":"https://aidevboard.com/api/v1/catalog","description":"Public read endpoints are open and free. 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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 Revenue Systems Engineering Director to join our Finance Systems team at Anthropic. You will own the technical architecture, implementation, and optimization of our Order-to-Cash (OTC) systems as we scale globally. You'll serve as the technical lead for our revenue systems within the ERP ecosystem, driving automation of revenue recognition processes and integrating our billing, sales, and financial systems.\n Responsibilities \n Revenue Platform Architecture \u0026 Development \n \n \n Own the revenue systems architecture and development supporting multi-entity operations and global subsidiaries\n \n Design and implement scalable data pipelines using DBT/SQL frameworks to transform high-volume financial transactions with low-latency response times for real-time integrations\n \n Build and maintain automated revenue recognition workflows ensuring ASC 606 compliance for complex subscription and consumption-based billing models\n \n Data Engineering \u0026 Pipeline Orchestration \n \n \n Modify, enhance, and optimize data transformation models using DBT/SQL to support standardized data flows across accounting, billing engineering, and product teams\n \n Establish comprehensive testing frameworks for data transformations, formally documenting successful behavior to support System Integration Testing (SIT) and audit requirements\n \n Systems Integration \u0026 Technical Leadership \n \n \n Collaborate with Revenue Accounting, Data Infrastructure, and BizTech teams to design enterprise-grade integration patterns supporting significant transaction volume growth\n \n Implement automated reconciliation engines achieving rapid variance detection and substantially reducing manual revenue team effort\n \n Provide technical expertise during month-end close processes, ensuring system reliability and performance during peak transaction volumes\n \n Innovation \u0026 Continuous Improvement \n \n \n Pioneer AI integration for revenue operations, building intelligent agents for discrepancy investigation, automated testing, and self-service analytics\n \n Evaluate and implement emerging technologies to modernize integration architecture\n \n Establish best practices with CI/CD pipelines, automated testing, and deployment workflows maintaining high reliability standards\n \n Mentor team members on technical best practices, code reviews, and documentation standards\n \n Minimum qualifications \n \n \n Possess strong technical proficiency in Python, SQL, DBT, and modern data engineering tools (workflow orchestration, infrastructure as code, cloud data warehouses)\n \n Have extensive experience with enterprise billing platforms and revenue recognition requirements (ASC 606)\n \n Demonstrate expert-level understanding of ERP systems with hands-on configuration and integration experience, including proficiency with API development (REST, SOAP/XML, webhooks) and understanding of ERP extension patterns and custom object development\n \n Experience with additional programming languages (Java, JavaScript/TypeScript, Go) for building integrations, APIs, and custom ERP extensions\n \n Track record of leading technical workstreams during ERP transformations or major system migrations\n \n Are skilled at designing scalable integration architectures, including both real-time APIs and batch processing patterns for high-volume financial transactions\n \n Have proven ability to translate complex business requirements into robust technical solutions while maintaining alignment with accounting principles and audit standards\n \n Understanding of consumption-based pricing models, usage metering platforms, and marketplace billing\n \n Thrive in a fast-paced, high-growth environment where you'll balance innovation with operational stability\n \n Have excellent communication skills to bridge technical and business stakeholders, including Finance, Accounting, Revenue Operations, and Engineering teams\n \n Preferred qualifications \n \n Have 12+ years of experience in revenue systems engineering, with deep hands-on expertise in Order-to-Cash (OTC) implementations\n \n \n \n Experience implementing revenue platforms at scale for SaaS or subscription-based businesses processing high transaction volumes\n \n Background in financial systems implementations supporting multi-entity, multi-currency operations with complex revenue recognition scenarios\n \n Hands-on experience with CRM/CPQ platforms and integration patterns connecting sales systems to billing and ERP systems\n \n Specific experience with: Salesforce CPQ/Revenue Cloud, Zuora, Stripe Billing,, Workday Financials\n \n Familiarity with Workday Prism and Oracle Accounting Hub solutions for managing third-par","salary_min":270000,"salary_max":315000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["alignment","agents","llm","api-design","payments","data-pipeline"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5409055008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-29T06:34:37Z","expires_at":"2026-09-30T13:30:19.412716Z","created_at":"2026-08-29T13:30:18.244908Z","updated_at":"2026-08-31T13:30:19.533188Z","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/74bd7349-e7f3-4d98-a3f0-ba2a67cb91ec"},{"id":"414b9479-6e08-4e01-93e0-da794311a342","company_id":"a0000000-0000-0000-0000-000000000001","title":"Product Manager, Multi-Cloud Trust \u0026 Safety","slug":"product-manager-multi-cloud-trust-safety-40c195ce","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 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 A large and growing share of Claude usage reaches customers through our cloud partners — Amazon Bedrock, Google Cloud's Agent Platform, and Microsoft Foundry. These surfaces require bespoke solutions so our approaches have to be designed for third-party distribution from the start. In this role you will own how Anthropic's model safeguards, fraud defenses, and compliance posture show up on every cloud.\n Responsibilities: \n Model Safety Across Clouds \n \n Own the multi-cloud strategy and roadmap for our safeguards — data retention, automated review, human review, and enforcement — designed to fit each partner's operating model\n Design product experiences and operations paths for managing eligibility criteria, verification paths, and the controls attached to differentiated capabilities for higher-trust organizations\n Build threat-intelligence sharing with AWS, Google, and Microsoft so misuse is detected and acted on consistently across surfaces\n Drive our transparency commitments to customers and partners on data access, review, and enforcement\n \n Fraud \u0026 Abuse \n \n Own fraud and abuse defenses for partner-sold offerings: bot and mass-registration abuse, pre- and post-sale risk controls, and chargebacks where the partner owns billing\n Define the fraud signals we exchange with each cloud partner and turn them into product requirements that influence growth initiatives \n \n Cross-functional Leadership \n \n Engage directly with enterprise security, risk, and compliance leaders to understand their requirements and turn them into roadmap priorities\n Be Anthropic's product counterpart to trust \u0026 safety, security, and compliance teams at AWS, Google, and Microsoft\n Work with Safeguards, Inference, Policy, Security, Legal, and multi-cloud engineering to ship one coherent set of controls across three clouds\n Partner with sales and partnerships to support enterprise evaluations where data-handling and safety requirements are decisive\n Work with marketing and partner teams on how we position our safeguards externally\n \n  \n Minimum requirements: \n \n Have 10+ years of experience.\n Have 5+ years of product experience in platform product roles on high-scale, enterprise- or developer-facing software.\n Operate with high autonomy in ambiguous, fast-moving environments, with a track record of executing across teams and organizations.\n Are an excellent written communicator and able to drive clarity out of complexity.\n Are equally fluent in policy nuance and systems detail, and can explain the tradeoff between them to lawyers, engineers, go to market teams, and partner executives alike.\n \n Preferred requirements \n \n Prior product experience in trust \u0026 safety, security, privacy, or compliance.\n Have built or shipped products with a hyper-scaler as a partner — you know how to align strategic goals and deliver impact over multiple quarters in partnership with an external third party \n Have owned a top line revenue target while being held to counter-risk outcome — a fraud-loss number, an abuse rate, a compliance authorization, an enforcement program — not just a product roadmap.\n Direct experience on a trust \u0026 safety, fraud, or security product team at AWS, GCP, or Azure — or at an ISV that ships through one of their marketplaces.\n Background in AI safety, content moderation, or abuse-detection systems.\n Designed incident-response or escalation processes that span more than one company.\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 $305,000 — $385,000 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 o","salary_min":305000,"salary_max":385000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["payments","alignment","cloud","rust"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5409934008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-28T22:04:00Z","expires_at":"2026-09-30T13:30:28.753449Z","created_at":"2026-08-29T13:30:27.591482Z","updated_at":"2026-08-31T13:30:28.885604Z","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/414b9479-6e08-4e01-93e0-da794311a342"},{"id":"6e9d10aa-49d2-4e23-ba39-8a7c0475817b","company_id":"43dd17db-bec3-4ebb-a432-f71d57a9aa47","title":"Senior Data Scientist, CompBio","slug":"senior-data-scientist-compbio-d84439dd","description":"THE OPPORTUNITY\n\nState-of-the-art technologies that measure multiple cellular aspects of in vitro biology are at the heart of insitro's efforts to accelerate drug development. Computational biology is key to elucidating the relationship between these phenotypes and human disease and translating them into actionable outcomes.\n\nWe are looking for a computational biologist with expertise across diverse data modalities, including deep experience in either omics or imaging readouts, a strong understanding of cell and disease biology, and fluency with state-of-the-art analysis techniques. Your expertise will help the team navigate the complexities of identifying therapeutic targets from diverse data, elucidating biological mechanisms, and championing a culture of statistical rigor and experimental design to ensure our analyses meet the highest scientific standards.\n\nIn this role, you will directly impact target prioritization and drug development efforts, advance our understanding of diseases, and aid the development of new treatments. You will be part of a cross-functional team of life scientists, data scientists, bioengineers, software engineers, and machine learning scientists who strive to identify therapeutic targets and develop drugs of high efficacy and low toxicity. Based in South San Francisco, this position reports directly to the Head of Computational Biology and ML-Omics and offers an in-person hybrid schedule of three days per week.\n\nYou will be joining a vibrant biotech startup with many opportunities for significant impact. You will work closely with a highly talented team, learn a broad range of skills, and help shape insitro's culture, strategic direction, and outcomes. Join us, and help make a difference to patients!\n\n \n\n\nRESPONSIBILITIES\n\nMultimodal Analysis \u0026 Target Discovery\n\n - Synthesize Multimodal Insights: Draw insights from multimodal analyses (microscopy, spatial proteomics, bulk/single-cell RNA-seq, human cohort data) to uncover disease mechanisms and generate therapeutic hypotheses\n\n - Identify Therapeutic Targets: Analyze diverse data from disease-relevant in vitro models to identify potential therapeutic targets from perturbation screens\n\n - Discover Biomarkers: Analyze data from diverse sources to identify and validate potential biomarkers for monitoring disease status and progression\n\nExperimental Partnership\n\n - Partner on Experimental Design: Work with experimental biologists to design, troubleshoot, and optimize experiments that generate and validate mechanistic and therapeutic hypotheses\n\n - Provide Domain Expertise: Bring statistical and computational expertise to guide assay development and the biological interpretation of results\n\nAnalytical Rigor \u0026 Communication\n\n - Benchmark and Calibrate: Calibrate analysis tools and workflows, define performance metrics, and conduct benchmarking to select fit-for-purpose solutions\n\n - Communicate Findings: Share results with cross-functional stakeholders through reports, visualizations, presentations, and publications\n\n \n\n\nABOUT YOU\n\nExperience \u0026 Qualifications\n\n - Education \u0026 Tenure: Ph.D. in computational biology, systems biology, bioengineering, computer science, machine learning, or a related discipline, with 3+ years of working experience post-graduation\n\n - Data Modality Depth: Hands-on experience with diverse data modalities, including at least one of the following: single-cell RNA-seq, fluorescence microscopy, spatial proteomics or transcriptomics, or label-free microscopy\n\n - Statistical Foundation: Deep understanding of statistical modeling and data analysis, with a demonstrated ability to rigorously interpret complex datasets and generate mechanistic hypotheses\n\n - Biological Grounding: An understanding of molecular biology or disease biology (e.g., neurological, cardiovascular, or metabolic disorders)\n\n - Programming Skills: Strong programming ability and proficiency with Python scientific packages such as NumPy and pandas\n\n - Publication Record: Meaningful contributions to high-quality work published in relevant computational biology, systems biology, life sciences, or biomedical venues\n\nCore Competencies\n\n - Collaborative Communicator: You communicate effectively and collaborate well with people of diverse backgrounds and job functions\n\n - Engineering Discipline: You write well-commented code and documentation and are familiar with coding best practices such as version control and code review\n\n \n\n\nCOMPENSATION \u0026 BENEFITS AT INSITRO\n\nOur target starting salary for successful US-based applicants for this role is $183,000 - $194,000. To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data.\n\nThis role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) an","salary_min":183000,"salary_max":194000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["healthcare","payments","machine-learning","data-science"],"apply_url":"https://jobs.ashbyhq.com/insitro/ec4a278a-dd78-4e9c-a203-87e3e2f59e60/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-28T21:54:47.039Z","expires_at":"2026-09-30T13:37:01.38349Z","created_at":"2026-08-29T13:37:15.708222Z","updated_at":"2026-08-31T13:37:01.509634Z","company_name":"Insitro","company_slug":"insitro","company_logo_url":"https://www.google.com/s2/favicons?domain=insitro.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/6e9d10aa-49d2-4e23-ba39-8a7c0475817b"},{"id":"c0509020-b00e-47f4-9cd5-7680b67c5c2f","company_id":"219030bb-3e37-4376-be76-0ea3c447e4b2","title":"Research Quality Analyst","slug":"research-quality-analyst-97f71c69","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 Expert Insights: \n Expert Insights, which spans AlphaSense’s Expert Transcript Library and 1x1 Call Services offerings,  delivers a new and transformative form of market intelligence content. Through transcripts covering thousands of companies, it captures the unfiltered views and insights of business operators in the trenches, interviewed by professional investors who drill into key questions on what’s truly important about a company at each moment in time. AlphaSense’s library of over 220,000 transcripts is the market’s largest, covering all sectors of the economy, with thousands more published each month. Expert Insights is quickly becoming a table-stakes solution for institutional investors to choose the right companies to invest in while gaining rapid adoption among all other consumers of market intelligence from sell-side research and banking, consultancies, and large corporations.\n About the Team: \n The Directed Content Team is an integral part of the Expert Insights group, generating thousands of calls each quarter on high-value, strategic content targets — ensuring that the AlphaSense Expert Transcript Library (ETL) delivers comprehensive coverage to our users. The Directed Content team is responsible for identifying, recruiting, and onboarding the best possible experts from around the world based on the targets and topics we are looking to generate content against — ensuring that the interviews with those experts are of the highest possible quality and relevance.\n About the Role:  \n As the Research Quality Analyst on the Directed Content (DC) team, you will provide quality control across a continuous, high-volume research pipeline. This role uses sampling across the project lifecycle to catch quality issues, identify patterns, and drive improvements to process and AI prompting that raise the overall quality and consistency of DC's research output. You will be a key player in ensuring that our research is accurate, consistent, and valuable to our clients. This position offers an opportunity to develop expertise in AI-powered research and to contribute to refining workflows that generate trackable, high-quality insights.\n What You’ll Do:  \n \n Sample and review research projects at multiple stages — prompt sheets, knowledge bases, and published expert transcripts — to catch quality issues both before and after publication.\n Identify patterns in quality driven by process gaps or issues.\n Test and help deploy process and prompt fixes that address those patterns, so quality review becomes faster and narrower in scope over time.\n Assist in refining and iterating on AI prompts.\n Help develop and maintain QA checklists and documentation, standardizing quality practices.\n Track and analyze quality metrics, reporting on trends, and recommending process improvements.\n Support testing of new AI-driven tools and workflows as they're introduced to Directed Content.\n \n Who You Are: \n \n You have 1–3 years of experience in a role focused on quality assurance, content review, copy editing, research, or data analysis.\n You possess an exceptional eye for detail and a commitment to producing high-quality work.\n You are highly analytical and intellectually curious, with the ability to quickly understand new concepts and identify inconsistencies in data and text.\n You have excellent written and verbal communication skills, with experience editing and proofreading professional documents.\n You are comfortable working collaboratively in a fast-paced, cross-functional environment.\n You have a strong interest in technology and artificial intelligence; experience with AI or large language models is a significant plus.\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 ","salary_min":62000,"salary_max":77000,"location":"Chicago, IL","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"junior","tags":["data-pipeline","payments","search","llm","research"],"apply_url":"https://job-boards.greenhouse.io/alphasense/jobs/8692344002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-28T20:38:01Z","expires_at":"2026-09-30T13:41:24.023968Z","created_at":"2026-08-29T13:41:39.658903Z","updated_at":"2026-08-31T13:41:24.144195Z","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/c0509020-b00e-47f4-9cd5-7680b67c5c2f"},{"id":"ef4c6406-333f-41ab-8184-e9bd7afe7c50","company_id":"a0000000-0000-0000-0000-000000000009","title":"Forward Deployed Engineer, Infrastructure Specialist (North America)","slug":"forward-deployed-engineer-infrastructure-specialist-north-america-85c940b9","description":"Who are we?\n\nCohere is the leading security-first enterprise AI company.  We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.\n\nWe’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.\n\nWe obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.\n\nWe are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!\n\n\nABOUT NORTH:\n\nNorth https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.\n\n\n\n\nWHY THIS ROLE?\n\nThis role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. Our esteemed clients include industry leaders like RBC, Dell, and LG CNS.\n\nWe are seeking engineers who deeply care about customers and want to work at the cutting edge of Agentic AI.\n\n\n\nIn this role, you will:\n\n - Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout.\n\n - Partner with enterprise IT teams to assess infrastructure, security requirements, and data management practices.\n\n - Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations\n\n - Design and implement deployment strategies tailored to client needs, ensuring compliance with data privacy and security standards.\n\n - Troubleshoot and resolve deployment-related technical issues, providing timely solutions to minimize downtime.\n\n\n\nYou may be a good fit if:\n\n - You have experience with and enjoy working directly with customers\n\n - You have experience deploying enterprise software in private/hybrid cloud environments\n\n - You have proven experience administering production Kubernetes clusters and expertise with Helm\n\n - Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control\n\n - You have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization\n\n - You excel in fast-paced environments and can execute while priorities and objectives are a moving target\n\nCohere is committed to fair and transparent pay practices. The salary range listed for this role reflects the expected base compensation. Actual compensation offered will be determined by factors such as location, level, job-related knowledge, skills, education, and experience.\n\n - United States:\n   \n   - For candidates based in California, New York and Washington States, the compensation range is: $140,000 - $325,000 USD\n   \n   - For candidates based elsewhere in the US, the compensation range is: $120,000 – $275,000 USD\n\n - Canada:\n   \n   - For candidates in Canada, the Compensation Range is : $175,000 - $385,000 CAD\n\n\n\n\nFULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:\n\n - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.\n\n - Full health and dental benefits, including a separate budget for mental health.\n\n - RRSP matching, 401K, Pension Scheme.\n\n - 100% Parental Leave top-up for up to 6 months, for either parent.\n\n - Annual enrichment benefits:\n   \n   Arts \u0026 culture, fitness/wellness, quality time, and a workspace improvement credit.\n   \n   Education \u0026 learning stipend for conferences, courses, and coaching.\n\n - 6 weeks of paid vacation (30 working days!)\n\n - Budget for traveling to other offices if you are remote, plus an annual company offsite.\n\n\n\n\nHOW AND WHERE WE WORK:\n\n - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.\n\n - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.\n\n - For those not near an office: a co-working benefit so you can work alongside others in your city.\n\n - Everyone receives a $500 home office stipend to set up your workspace properly.\n   \n   \n\nIf any of the above doesn’t line up exactly with your exp","salary_min":175000,"salary_max":385000,"location":"Toronto, Canada","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["payments","healthcare","cloud","agents","infrastructure"],"apply_url":"https://jobs.ashbyhq.com/cohere/be48aafc-9610-4ebd-8414-a0722a3cd59a/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-28T20:36:13.897Z","expires_at":"2026-09-30T13:31:53.252193Z","created_at":"2026-04-13T09:36:53.959441Z","updated_at":"2026-08-31T13:31:53.374438Z","company_name":"Cohere","company_slug":"cohere","company_logo_url":"https://www.google.com/s2/favicons?domain=cohere.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/ef4c6406-333f-41ab-8184-e9bd7afe7c50"},{"id":"17669270-764c-4f80-a496-6cf3009fcf77","company_id":"a0000000-0000-0000-0000-000000000009","title":"Forward Deployed Engineer, Infrastructure Specialist (Public Sector)","slug":"forward-deployed-engineer-infrastructure-specialist-public-sector-4cfcc1d7","description":"Who are we?\n\nCohere is the leading security-first enterprise AI company.  We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.\n\nWe’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.\n\nWe obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.\n\nWe are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!\n\n\n\n\nABOUT NORTH:\n\nNorth https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.\n\n\n\n\nWHY THIS ROLE?\n\nCohere’s team partners with Canadian public sector organisations to unlock transformative value through secure, ethical deployment of Generative AI (GenAI) solutions. We work collaboratively to address complex societal challenges while maintaining the highest standards of data security and compliance. You will work directly with public sector customers to quickly understand their greatest problems and design and implement solutions using Cohere's stack.\n\nThis role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors.\n\nWe are seeking engineers with diverse skill sets, including backend, infrastructure, agent development, and deployments, who deeply care about customers and want to work at the cutting edge of Agentic AI.\n\n\n\nLocation: Ottawa, 20-40% travel anticipated.\n\n\nSecurity Clearance: Active Top Secret clearance strongly preferred; candidates eligible and willing to obtain clearance will also be considered. If you are ineligible for clearance there are other positions on our careers site that do not have this requirement.\n\nMore information about Canadian Security Clearance can be found here https://www.canada.ca/en/public-services-procurement/services/industrial-security/security-requirements-contracting/personnel-security-screening/processes/security-clearance-request.html.\n\n\n\nIn this role, you will:\n\n -  Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout.\n\n - Partner with enterprise IT teams to assess infrastructure, security requirements, and data management practices.\n\n - Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations\n\n - Design and implement deployment strategies tailored to client needs, ensuring compliance with data privacy and security standards.\n\n - Troubleshoot and resolve deployment-related technical issues, providing timely solutions to minimize downtime.\n\nYou may be a good fit if:\n\n - You have experience with and enjoy working directly with customers\n\n - You have experience deploying enterprise software in private/hybrid cloud environments\n\n - You have proven experience administering production Kubernetes clusters and expertise with Helm\n\n - Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control\n\n - You have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization\n\n - You excel in fast-paced environments and can execute while priorities and objectives are a moving target\n\n - Familiarity with Canadian public sector security and compliance requirements (e.g., data sovereignty, access controls).\n\n\n\nCohere is committed to fair and transparent pay practices. The salary range listed for this role reflects the expected base compensation. Actual compensation offered will be determined by factors such as location, level, job-related knowledge, skills, education, and experience.\n\n - Canada:\n   \n   - For candidates in Canada, the Compensation Range is : $175,000 - $385,000 CAD\n\n\n\n\n\n\nFULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:\n\n - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.\n\n - Full health and dental benefits, including a separate budget for mental health.\n\n - RRSP matching, 401K, Pension Scheme.\n\n - 100% Parental Leave top-up for up to 6 months, for either parent.\n\n - Annual enrich","salary_min":175000,"salary_max":385000,"location":"Ottawa","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","payments","generative-ai","cloud","infrastructure"],"apply_url":"https://jobs.ashbyhq.com/cohere/52a2b83b-7537-4e88-af7b-e4e9630a96e0/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-28T20:35:23.101Z","expires_at":"2026-09-30T13:31:56.225959Z","created_at":"2026-04-30T05:46:56.273345Z","updated_at":"2026-08-31T13:31:56.350598Z","company_name":"Cohere","company_slug":"cohere","company_logo_url":"https://www.google.com/s2/favicons?domain=cohere.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/17669270-764c-4f80-a496-6cf3009fcf77"},{"id":"49815b01-da50-4ed6-905c-a071c44a3cab","company_id":"a0000000-0000-0000-0000-000000000009","title":"Engineering Manager, FDE Infrastructure (NORAM)","slug":"engineering-manager-fde-infrastructure-noram-5b3d8276","description":"Who are we?\n\nCohere is the leading security-first enterprise AI company.  We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.\n\nWe’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.\n\nWe obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.\n\nWe are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!\n\nWe're looking for an Engineering Manager to lead our Deployment Engineering team. This isn't a typical management role — we need someone who leads from the front, gets their hands dirty, and drives impact. You'll manage a team of Forward Deployed Engineers who are on the front lines of deploying Cohere's North platform into customer environments. You should be ready to be a force to be reckoned with.\n\n\n\nLocation: North America (remote-first)\n\n\n\n\nWHAT YOU'LL DO\n\n - Lead and mentor a team of Forward Deployed Engineers \n\n - Drive end-to-end deployment of North in private cloud and on-premises environments\n\n - Take ownership of customer success from technical implementation through delivery\n\n - Collaborate closely with Product, Engineering, and Sales to shape how we deliver AI to enterprises\n\n - Mentor your team on cloud infrastructure, Kubernetes, and enterprise-grade deployments\n\n - Optimize performance for OpenSearch, databases, and other K8s services\n\n - Define scaling guidelines for GPU and CPU compute resources\n\n - Build processes \u0026 technology that scales — we're growing fast.\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - 5+ years of experience in software engineering with demonstrated leadership\n\n - Hands-on experience deploying enterprise software at scale\n\n - Strong expertise in cloud infrastructure (Azure, AWS, GCP)\n\n - Experience with Kubernetes, Helm, and CI/CD pipelines\n\n - High agency — you don't wait for permission to solve problems\n\n - A doer mentality — you dig in and get stuff done\n\n - Experience managing engineers in a fast-paced, high-growth environment\n\n - Excellent communication skills in English.\n\n\n\n\nNICE TO HAVE'S\n\n - Fluency in additional European languages\n\n - Experience with AI/ML infrastructure\n\n - Background in enterprise security and compliance.\n\n\n\nCohere is committed to fair and transparent pay practices. The salary range listed for this role reflects the expected base compensation. Actual compensation offered will be determined by factors such as location, level, job-related knowledge, skills, education, and experience.\n\n - United States:\n   \n   - For candidates based in California, New York and Washington States, the compensation range is: $140,000 - $325,000 USD\n   \n   - For candidates based elsewhere in the US, the compensation range is: $120,000 – $275,000 USD\n\n - Canada:\n   \n   - For candidates in Canada, the Compensation Range is : $175,000 - $385,000 CAD\n\n\n\n\nFULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:\n\n - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.\n\n - Full health and dental benefits, including a separate budget for mental health.\n\n - RRSP matching, 401K, Pension Scheme.\n\n - 100% Parental Leave top-up for up to 6 months, for either parent.\n\n - Annual enrichment benefits:\n   \n   Arts \u0026 culture, fitness/wellness, quality time, and a workspace improvement credit.\n   \n   Education \u0026 learning stipend for conferences, courses, and coaching.\n\n - 6 weeks of paid vacation (30 working days!)\n\n - Budget for traveling to other offices if you are remote, plus an annual company offsite.\n\n\n\n\nHOW AND WHERE WE WORK:\n\n - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.\n\n - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.\n\n - For those not near an office: a co-working benefit so you can work alongside others in your city.\n\n - Everyone receives a $500 home office stipend to set up your workspace properly.\n   \n   \n\nIf any of the above doesn’t line up exactly with your experience, we still encourage you to apply. \n\n\nWe strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.\n\n\n\nWe may use AI-enabled tools to scr","salary_min":175000,"salary_max":385000,"location":"Canada","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["agents","payments","search","cloud","infrastructure"],"apply_url":"https://jobs.ashbyhq.com/cohere/6a6120d5-5e02-4811-99d9-6baf0b910e37/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-28T20:34:05.703Z","expires_at":"2026-09-30T13:31:57.114614Z","created_at":"2026-06-28T14:01:30.761519Z","updated_at":"2026-08-31T13:31:57.234911Z","company_name":"Cohere","company_slug":"cohere","company_logo_url":"https://www.google.com/s2/favicons?domain=cohere.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/49815b01-da50-4ed6-905c-a071c44a3cab"},{"id":"2378d486-4c00-4313-98d9-dd8e3385e6f4","company_id":"a0000000-0000-0000-0000-000000000009","title":"Forward Deployed Engineer, Agentic Platform (West Coast)","slug":"applied-ai-engineer-agentic-workflows-1c208301","description":"Who are we?\n\nCohere is the leading security-first enterprise AI company.  We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.\n\nWe’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.\n\nWe obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.\n\nWe are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!\n\n\n\nABOUT NORTH:\n\nNorth https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.\n\n\n\n\nWHY THIS ROLE?\n\nThis role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications.\n\nWe’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one.\n\nNote: between 20 - 40% travel anticipated.\n\n\n\nIN THIS ROLE, YOU WILL:\n\n - Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies\n\n - Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance\n\n - Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualisation through production\n\n - Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution\n\n - Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams\n\n - Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization\n\n - Travel up to 20–40% to work on-site with customers and partners\n\n\n\nYOU MAY BE A GOOD FIT IF:\n\n - You have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code\n\n - You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute\n\n - You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks\n\n - You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency\n\n - You’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs\n\n - You have experience owning the full scope of a use case end-to-end\n\n - You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting\n\n\n\nIT'S A BONUS IF YOU HAVE:\n\n - Experience setting architectural standards for AI and agentic systems across distributed teams\n\n - Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it\n\n - Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms)\n\n - Experience with enterprise security, compliance, or auditability requirements for AI systems\n\n\n\nCohere is committed to fair and transparent pay practices. The salary range listed for this role reflects the expected base compensation. Actual compensation offered will be determined by factors such as location, level, job-rela","salary_min":175000,"salary_max":385000,"location":"San Francisco, CA","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"senior","tags":["embeddings","payments","healthcare","rag","agents","llm"],"apply_url":"https://jobs.ashbyhq.com/cohere/1fa01a03-9253-4f62-8f10-0fe368b38cb9/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-28T20:32:55.278Z","expires_at":"2026-09-30T13:31:54.699742Z","created_at":"2026-04-13T09:36:56.004203Z","updated_at":"2026-08-31T13:31:54.821763Z","company_name":"Cohere","company_slug":"cohere","company_logo_url":"https://www.google.com/s2/favicons?domain=cohere.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/2378d486-4c00-4313-98d9-dd8e3385e6f4"},{"id":"a4b7d145-78b5-46dc-a1d6-192b6a736049","company_id":"a0000000-0000-0000-0000-000000000009","title":"Forward Deployed Engineer, Agentic Platform","slug":"forward-deployed-engineer-agentic-platform-7033bcda","description":"Who are we?\n\nCohere is the leading security-first enterprise AI company.  We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.\n\nWe’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.\n\nWe obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.\n\nWe are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!\n\n\nABOUT NORTH:\n\nNorth https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.\n\n\n\nWHY THIS ROLE?\n\nThis role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications.\n\nWe’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one.\n\nNote: between 20 - 40% travel anticipated.\n\n\n\nIN THIS ROLE, YOU WILL:\n\n - Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies\n\n - Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance\n\n - Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualization through production\n\n - Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution\n\n - Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams\n\n - Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization\n\n - Travel up to 20–40% to work on-site with customers and partners\n\n\n\nYOU MAY BE A GOOD FIT IF:\n\n - You have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code\n\n - You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute\n\n - You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks\n\n - You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency\n\n - You’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs\n\n - You have experience owning the full scope of a use case end-to-end\n\n - You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting\n\n\n\nIT'S A BONUS IF YOU HAVE:\n\n - Experience setting architectural standards for AI and agentic systems across distributed teams\n\n - Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it\n\n - Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms)\n\n - Experience with enterprise security, compliance, or auditability requirements for AI systems\n\n\n\nCohere is committed to fair and transparent pay practices. The salary range listed for this role reflects the expected base compensation. Actual compensation offered will be determined by factors such as location, level, job-relate","salary_min":175000,"salary_max":385000,"location":"United States","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["embeddings","rag","llm","payments","healthcare","agents"],"apply_url":"https://jobs.ashbyhq.com/cohere/b0bcef37-1d20-414f-aade-c54942d63df9/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-28T20:30:58.199Z","expires_at":"2026-09-30T13:31:53.822086Z","created_at":"2026-04-13T09:36:54.973831Z","updated_at":"2026-08-31T13:31:53.946489Z","company_name":"Cohere","company_slug":"cohere","company_logo_url":"https://www.google.com/s2/favicons?domain=cohere.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a4b7d145-78b5-46dc-a1d6-192b6a736049"},{"id":"a9304478-6b78-4ca2-a86c-1622c0c977f2","company_id":"654d4532-88db-435d-8a6f-161b8c5a491e","title":"Senior Manager, Data Science - Styling Algorithms","slug":"senior-manager-data-science-styling-algorithms-ed2bd7cb","description":"About Stitch Fix, Inc. \n Stitch Fix (NASDAQ: SFIX) Stitch Fix is redefining retail by combining human creativity with advanced data science and Generative AI. As we build the future of personalized shopping, we’re equally committed to building yours.  We believe in investing in our team as much as our technology. Join us to be a trendsetter in the industry and help us redefine what’s possible for our clients, while we help you reach your full potential.\n About the Role \n At Stitch Fix, we are at the forefront of innovation, creating cutting-edge solutions that blend fashion, technology, and data science. Our data science team combines machine learning with expert human judgment to generate innovative recommendations and insights that transform the way our clients discover what they love. We believe in a curiosity-driven data science culture where members are empowered to deliver impact through end-to-end model development. The diversity of the problems that we work on and the data-rich environment of our business make it possible, even essential, to bring the tools of multiple disciplines to bear on our hardest problems.  \n We are looking for an experienced Styling Algorithms Team Manager to lead a group of talented machine learning engineers and data scientists. In this role, you will shape the future of fashion technology by driving the development and deployment of our styling algorithms, which empower our human stylists to delight clients by nailing their fit and style. This includes ML-, AI-, and product-driven feature curation and testing for our proprietary styling platform, as well as client-facing AI personalization experiences, such as Stitch Fix Vision, our virtual try-on.\n Responsibilities: \n \n Champion bold AI and ML interventions to improve our styling experiences, enabling our stylists to have a multiplicative impact on their client connection points.\n Likewise, actively shape the product roadmap for direct client-facing styling experiences, expanding the breadth and depth of personalization touchpoints to complement and inform our human stylists.\n Inspire your team by fostering a culture of ideation, ownership, feedback, and collaboration between team members and with cross-functional partners.\n Act as an advocate for our Styling and Merchandising teams, empowering partners to understand trends in stylist feedback and inventory surfacing algorithms for rapid action on emergent opportunities. \n Work with product managers, other data science teams, UI/UX designers, and business leaders to define and optimize against business objectives for our suite of styling experiences.\n Oversee the end-to-end algorithm development lifecycle, from ideation and experimentation to testing and deployment in a production environment.\n Identify and implement best practices for team collaboration, code quality, use of AI, and data management.\n Stay up-to-date with advancements in AI-assisted development, AI-enabled product experiences, machine learning, and fashion technology.\n \n About You \n This is what you’ll need to succeed in this role from day 1. \n Requirements: \n \n Bachelor’s Degree in a quantitative field such as Computer Science, Statistics, Physics, Mathematics, or a related field required. Master’s or PhD preferred. \n 5+ years of experience in design and deployment of AI and ML solutions, ideally in retail personalization, with an emphasis on agentic capabilities.\n 2+ years of experience as a team technical lead or direct people manager.\n Ability to write and review production-grade code, ideally in Python.\n Applied knowledge of AI-assisted coding best practices and development of agentic product solutions.\n Excels at building trust with your team, stakeholders, and technical partners.\n Excellent communication skills with the ability to articulate complex technical concepts to business audiences.\n Experience with online A/B testing, experimentation frameworks, and performance metrics.\n Familiar with cloud-based infrastructure and distributed data systems.\n Compensation and Benefits This role will receive a competitive salary, benefits, and equity. The salary for US-based employees hired into this role will be aligned with the range below, which includes our three geographic areas. A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, location, and performance. This position is eligible for an annual bonus, and new hire and ongoing grants of restricted stock units, depending on employee and company performance. In addition, the position is eligible for medical, dental, vision, and other benefits. Applicants should apply via our internal or external careers site. \n Salary Range\n $200,000 — $246,000 USD \n This link leads to the machine readable files that are made available in response to the federal Transparency in Coverage Rule and includes negotiated service rates and out-of-network allowed amounts","salary_min":200000,"salary_max":246000,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["generative-ai","payments","healthcare","agents","data-science"],"apply_url":"https://www.stitchfix.com/careers/jobs?gh_jid=8164607\u0026gh_jid=8164607","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-28T16:49:32Z","expires_at":"2026-09-29T13:49:16.042671Z","created_at":"2026-08-29T13:50:46.465007Z","updated_at":"2026-08-30T13:49:16.172549Z","company_name":"Stitch Fix","company_slug":"stitch-fix","company_logo_url":"https://www.google.com/s2/favicons?domain=stitchfix.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a9304478-6b78-4ca2-a86c-1622c0c977f2"},{"id":"2c486dec-53f7-41d2-9720-2e9a10653b83","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Flight Software (FSW) Engineer - Platform - HITL Infrastructure","slug":"flight-software-fsw-engineer-platform-hitl-infrastructure-a61623fb","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE JOB\n We are looking for a HITL and integration test focused software engineer to develop and proliferate software infrastructure to make bringing up, managing, and running tests against integrated testbeds easy. This role will be accountable to business problems around testbed configuration management, remote access and OPSEC segregation, integration test framework development, and third-party tool integration for requirements traceability and data review.  Experience with HITL operations, including real-time simulation, avionics integration, and closed-loop testing with physical hardware is highly valued. If you have a passion for flight and want to play a core role in enabling the Anduril AD\u0026S organization to continue scaling by orders of magnitude, this is the right role for you!\n  \n WHAT YOU'LL DO \n \n Develop a robust integration test framework capable of executing tests across SITL and HITL environments.\n Create scale-able infrastructure for defining and managing the configuration of testbeds.\n Enable shared access of hardware resources across OPSEC isolation boundaries.\n Proliferate common HITL and test infrastructure across programs ranging from group 5 aircraft, to autonomous boats, to space-based interceptors, and more.\n \n  \n REQUIRED QUALIFICATIONS \n \n Bachelor's Degree or higher in engineering, computer science, mathematics, physics, chemistry, or related technical discipline\n Advanced proficiency with Python\n Familiarity with C/C++\n Hands-on experience with HITL or SITL simulation operations, including test setup, execution, and debugging\n Must be eligible to obtain and maintain a U.S. TS clearance\n \n  \n PREFERRED QUALIFICATIONS \n \n Advanced proficiency with C/C++\n Experience with developing sub-system and system level models (Air vehicle, ground vehicles, ground based sensors and other types of complex systems)\n Flight test support experience, including on-site operations and real-time troubleshooting\n Experience with developing emulated/simulation interfaces for on-board avionics, including CAN, Ethernet, serial protocols, and custom hardware interfaces\n Demonstrated ability to own and operate HITL labs supporting multiple concurrent flight test programs \n US Salary Range\n $129,000 — $220,000 USD \n The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:   \n  \n Benefits \n At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next.  For more information, Explore Our Benefits . \n  \n \n Protecting Yourself from Recruitment Scams \n Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.\n \n To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:\n \n \n No Financial Requests:  Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.\n Please always verify communications: \n \n Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.\n Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reachin","salary_min":129000,"salary_max":220000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["payments","cloud","computer-vision","infrastructure"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5054523007?gh_jid=5054523007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-28T16:39:50Z","expires_at":"2026-09-30T13:37:27.434944Z","created_at":"2026-08-29T13:37:43.589294Z","updated_at":"2026-08-31T13:37:27.560364Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/2c486dec-53f7-41d2-9720-2e9a10653b83"},{"id":"37e2e099-d7ce-4a9b-ab49-bb3c0fcdad65","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"AI Systems Engineer","slug":"ai-systems-engineer-bc554f3e","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n Team Overview\n Anduril’s Technical Publications organization supports complex hardware, software, autonomy, and defense systems across multiple divisions, business lines, and programs. The Product Manager, Technical Writing Systems, owns the authoring and publishing platform. This role builds the AI systems that extend that platform so the documentation pipeline handles more work at lower cost and lower latency.\n Role Specifics\n As the Applied LLM Systems Engineer, your mission is to design, build, and operate production AI systems that improve how technical documentation is created, transformed, validated, maintained, and delivered. You will build and maintain AI-assisted authoring, automated publishing, and multi-agent coordination tooling for the Technical Publications pipeline. This is not a prompt-writing role. It is a systems-engineering role for someone who has already delivered production AI systems, understands evaluation and rollback, and knows how to make probabilistic systems useful in enterprise environments with structured content, strict review requirements, security boundaries, and real operational consequences. The right candidate can expand system capability while managing token usage, context efficiency, and cost at scale.\n What You’ll Do\n \n Build production-grade LLM applications for documentation and knowledge-work workflows.\n Design orchestration for multi-step workflows that coordinate models, tools, and deterministic services safely.\n Optimize context management, token usage, caching, and workflow design for cost, latency, and task success.\n Build retrieval, structured-output, and tool-integrated systems that safely interact with enterprise content, source control, issue tracking, and documentation systems.\n Design evaluation frameworks and regression testing for prompts, models, tools, retrieval pipelines, and end-to-end workflows.\n Establish observability, auditability, rollback, and safe failure modes for AI-assisted workflows.\n Work directly with technical writers, illustrators, engineers, and documentation leadership to identify the highest-value places to apply AI and where human judgment should remain primary.\n Preserve provenance between source material, generated output, validation results, and human decisions so outputs remain reviewable, correctable, and attributable.\n \n Required Qualifications\n \n Ability to work on-site in Santa Ana, CA.\n 5+ years of professional software engineering experience, including building and operating production services.\n Direct experience delivering at least one production AI system with measurable adoption by its intended users.\n Experience optimizing cost, latency, and context usage in production LLM or workflow systems.\n Experience designing evaluation, observability, rollback, and failure-handling for nondeterministic systems.\n Strong proficiency in Python and modern API, data, and service-development practices, including software architecture, security boundaries, identity and access management, and data protection.\n Sound judgment about where probabilistic AI is appropriate and where deterministic software or human review is required.\n Must be eligible for Secret and higher security clearance (US).\n In this role, you will be subject to pre-employment and randomized substance screening, as required by the Company.\n \n Preferred Qualifications\n \n Experience designing multi-step orchestration or coordination systems across models, tools, and deterministic services.\n Experience with retrieval-augmented generation, structured outputs, tool calling, or other production LLM workflow patterns.\n Experience integrating AI capabilities into desktop or enterprise applications with limited native APIs.\n Experience in defense, aerospace, manufacturing, robotics, autonomy, aviation, or another regulated environment.\n Familiarity with technical documentation, structured authoring, content management, or comparable documentation-heavy workflows.\n Familiarity with S1000D, DITA, MIL-STD-40051, or comparable documentation frameworks.\n Experience with containerized services, cloud infrastructure, CI/CD, queues, event-driven architectures, or production monitoring.\n US Salary Range\n $191,000 — $253,000 USD \n The salary range for this ro","salary_min":191000,"salary_max":253000,"location":"Santa Ana, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["llm","cloud","payments","robotics","computer-vision","rag","agents"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5225164007?gh_jid=5225164007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-28T16:09:46Z","expires_at":"2026-09-30T13:37:24.015706Z","created_at":"2026-08-29T13:37:39.72932Z","updated_at":"2026-08-31T13:37:24.136536Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/37e2e099-d7ce-4a9b-ab49-bb3c0fcdad65"},{"id":"1edaacf5-142d-4d7d-bca8-60df2de49655","company_id":"fe4d898e-86f1-400e-95db-988d7f632620","title":"Sr. Software Engineer, AI","slug":"sr-software-engineer-ai-29348a1b","description":"Navan is building the next generation of intelligent travel experiences, where loyalty, personalization, and AI agents help travelers make better decisions before, during, and after every trip. As a Senior Software Engineer, AI on the Loyalty Wallet team, you’ll build agentic product experiences that understand a traveler’s loyalty programs, surface useful insights, and safely help users manage their memberships through Navan Edge.\n What You’ll Do: \n \n Build AI-Powered Product Experiences: Design and develop agentic workflows that help users view, understand, connect, and manage their loyalty programs through chat, wallet surfaces, and personalized recommendations.\n Develop Production AI Systems: Build reliable LLM-powered flows with structured outputs, tool calling, guardrails, human confirmation, evals, and monitoring for real customer-facing use cases.\n Own Agent and Workflow Quality: Create and maintain scenario tests, adversarial evals, prompt/tool contracts, and quality metrics that ensure agents behave safely around loyalty data, PII, financial guidance, and unsupported requests.\n Integrate Across the Stack: Work across frontend, backend, and AI orchestration layers, including wallet APIs, streaming chat experiences, UI components, data services, and ML/LLM workflows.\n Turn Data Into Personalization: Help transform loyalty balances, tier progress, membership data, connected email signals, and trip context into useful recommendations and next-best actions.\n Collaborate Cross-Functionally: Partner closely with product, design, backend, data, and platform teams to ship polished, measurable customer experiences.\n Raise the Engineering Bar: Champion maintainable code, thoughtful abstractions, strong tests, observability, documentation, and operational ownership.\n \n What We’re Looking For: \n \n 6+ years of software engineering experience building production systems, with meaningful hands-on experience in AI, LLM, agent, workflow, or ML-powered products.\n Experience building agentic systems, tool-calling workflows, RAG-like systems, structured LLM outputs, eval pipelines, or AI assistants in production.\n Strong engineering fundamentals in TypeScript/Node.js, Java, Python, or similar backend/product engineering stacks.\n Experience with distributed systems, APIs, async workflows, caching, observability, and production debugging.\n Comfort working with AI safety patterns such as guardrails, HITL confirmation, deterministic tool boundaries, hallucination prevention, and PII-sensitive workflows.\n Product mindset and ability to translate ambiguous user needs into robust, user-facing experiences.\n Strong ownership mentality, with the ability to ship, measure, iterate, and support features after release.\n Experience with travel, loyalty programs, personalization, fintech, or consumer data products is a strong plus.\n Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, or equivalent hands-on experience.\n \n  \n The posted pay range represents the anticipated low and high end of the compensation for this position and is subject to change based on business need. To determine a successful candidate’s starting pay, we carefully consider a variety of factors, including primary work location, an evaluation of the candidate’s skills and experience, market demands, and internal parity. For roles with on-target-earnings (OTE), the pay range includes both base salary and target incentive compensation. Target incentive compensation for some roles may include a ramping draw period. Compensation is higher for those who exceed targets. Candidates may receive more information from the recruiter.\n Pay Range\n $113,400 — $252,000 USD \n  \n Navan uses AI-assisted Automated Employment Decision Tool (Metaview) to assist with evaluating resumes against job qualifications for this role. All final decisions are made by human recruiters and hiring managers. \n Human oversight:   Metaview does not automatically reject candidates or make final hiring decisions. Our recruiters and hiring managers review all outputs and make the final hiring decision regarding every application.  \n \n \n Your rights: If you prefer to have your application reviewed without AI assistance, you may request a human evaluation by entering your email here . Your decision to do so will not affect how your candidacy is evaluated. \n \n Please refer to our Candidate Privacy Notice for more information about our processing of personal data, and your rights.","salary_min":113400,"salary_max":252000,"location":"New York, NY","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["llm","agents","alignment","payments","distributed-systems"],"apply_url":"https://navan.com/careers/openings?gh_jid=8147410","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-28T12:55:34Z","expires_at":"2026-09-29T13:48:43.262476Z","created_at":"2026-08-29T13:50:14.443001Z","updated_at":"2026-08-30T13:48:43.396633Z","company_name":"Navan","company_slug":"navan","company_logo_url":"https://www.google.com/s2/favicons?domain=navan.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/1edaacf5-142d-4d7d-bca8-60df2de49655"},{"id":"280219b5-1d1a-4b23-8422-baab1f0239cd","company_id":"63bced38-3605-4e57-99f3-e213b2d40bf3","title":"Sr. Manager, Engineering","slug":"sr-manager-engineering-13c89eb3","description":"Opportunity Overview:  \n We are seeking a Senior Engineering Manager to lead our Review Engineering team — roughly 20+ engineers across three squads in the US and India — building the workflows and capabilities that let clinical operations staff deliver care at scale, efficiently and with high quality. Leading through dedicated technical leads on each squad, you'll own the reliability and technical direction of Review's systems while partnering closely with Product, Design, Security, Clinical Operations, and peer engineering teams on shared platforms. This is an opportunity to shape a growing, business-critical part of Cohere's platform and to grow the next generation of engineering leaders in health technology.\n This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events.\n What you’ll do: \n \n Lead 20+ engineers across multiple agile squads (US and India) through dedicated technical leads\n Own production reliability for Review-owned systems — incident response, root-cause RCAs, and cross-functional tiger teams for major incidents\n Set technical vision and provide leadership across design and sprint processes, partnering with Staff Engineers\n Drive delivery transparency through sprint metrics, catching risk early and informing data-driven interventions\n Partner with Product, Design, Security, Clinical Ops, and peer engineering teams (including our Hyderabad group) on shared systems and initiatives\n Own hiring, leveling, and career growth for direct reports and their leads; help attract and retain top talent\n Build a culture that grows early-career engineers into future health-tech leaders, with a bias toward team autonomy\n Champion testing, quality, and security practices in a regulated (HIPAA/SOC2) environment\n \n What you’ll need: \n \n 5+ years managing software engineering teams in a fast-paced, agile environment, including 3+ years leading multiple teams through technical leads or managers\n Experience leading distributed/multi-site teams across time zones (e.g. US/India), including partnering with groups outside your direct reporting line\n Hands-on full-stack engineering background\n Proven ability to own production systems and incident response, ideally in a regulated (healthcare, HIPAA/SOC2) environment\n Strong grounding in modern development practices (version control, unit testing, CI/CD)\n Experience designing and scaling distributed/microservices systems for high-throughput, high-growth products\n A passion for quality products and high-performing, autonomous teams\n Bachelor's degree in computer science, software engineering, or equivalent experience\n \n Pay \u0026 Perks: \n 💻 Fully remote opportunity with about 5% travel\n 🩺 Medical, dental, vision, life, disability insurance, and Employee Assistance Program \n 📈 401K retirement plan with company match; flexible spending and health savings account \n 🏝️ Flex Time Off + company holidays\n 👶 Up to 14 weeks of paid parental leave \n 🐶 Pet insurance  \n The salary range for this position is $185,000 to $225,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment. \n Interview Process*: \n \n Connect with Talent Acquisition for a Preliminary Phone Screening\n Meet your Hiring Manager!\n Live System Design Exercise \n Project Discussion \n Cross Functional Interview \n \n *Subject to change\n About Cohere Health: \n Cohere Health’s clinical intelligence platform and agentic AI-powered solutions connect health plans’ strategic goals and providers’ needs, optimizing the speed, cost, and quality of care. With an enterprise approach that streamlines payer-provider decision-making across the care continuum–including policy, prior authorization, payment accuracy, and more–the company improves collaboration and reduces burden, resulting in up to 8x ROI and 94% provider satisfaction. \n With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.\n Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn","salary_min":185000,"salary_max":225000,"location":"United States","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["payments","microservices","agents","healthcare"],"apply_url":"https://job-boards.greenhouse.io/coherehealth/jobs/7979401003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-27T18:00:50Z","expires_at":"2026-09-30T13:36:45.872733Z","created_at":"2026-08-29T13:36:57.646684Z","updated_at":"2026-08-31T13:36:45.993549Z","company_name":"Cohere Health","company_slug":"cohere-health","company_logo_url":"https://www.google.com/s2/favicons?domain=coherehealth.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/280219b5-1d1a-4b23-8422-baab1f0239cd"},{"id":"896963d3-d6bb-4619-8398-538ac2eb09ca","company_id":"ed18bbda-3537-4b44-9295-c7b575fce0ff","title":"Staff Enterprise Security Engineer, AI Security","slug":"staff-enterprise-security-engineer-ai-security-9656605f","description":"Who we are  \n At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to  hundreds of thousands of businesses  and empower millions of developers worldwide to craft personalized customer experiences.\n Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . \n Hiring and how we work \n We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! \n Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.  . \n See yourself at Twilio \n Join the team as our next Staff Engineer, Enterprise Security \n About the job \n As a Staff Enterprise Security Engineer, you will be a technical leader within the EntSec team, responsible for the foundational security posture of our organization. You will serve as an SME on the technical strategy and engineering execution for securing the AI ecosystem in our Enterprise, moving beyond policy into building the foundational \"decision infrastructure\" and technical guardrails that allow the enterprise to innovate with AI at scale.\n You will also guide strategic direction and collaboration across enterprise security domains. You will need a background in security engineering and the cross-functional influence necessary to solve ambiguous, large-scale problems. Leveraging expertise in security assessments,  threat modeling, identity and access control principles, and data protection, you will architect and build preventative guardrails and mitigate new risks introduced by first and third-party AI agents in our Enterprise.\n Responsibilities \n \n Design and implement secure reference architectures for Enterprise AI platforms that secures every Twilion’s engagement with them, ensuring data integrity, regulatory compliance, and resilience against evolving AI threats.\n Establish a definitive framework for AI vetting, driving the cultural and policy shifts needed to institutionalize this strategic mindset across the organization.\n Collaborate with cross functional partners to develop and set the long term roadmap for agentic AI identity and posture management, ensuring cohesive strategies for reducing risk from agentic AI use.\n Maintain and improve our enterprise security posture through high-quality code (Python, Go, or similar) and infrastructure management via IAC.\n Act as a technical mentor to junior engineers and a strategic advisor to leadership on the evolving AI landscape.\n \n Qualifications: \n Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. \n Required: \n \n 7+ years of experience in security engineering or infrastructure security\n 2+ years of experience leading teams in a technical capacity/staff engineering capacity at an enterprise.\n Expertise in cloud security (AWS, GCP) and container security (Kubernetes).\n Proven track record of designing and deploying complex security systems at scale.\n Strong proficiency in programming languages such as Python, Go, or Java.\n \n Desired: \n \n Experience in building, deploying and reviewing automation for complex security workflows, including use of both AI-driven and traditional automation tools.\n Excellent communication skills with the ability to explain complex AI security risks to non-technical stakeholders.\n \n Location \n This role will be remote, but is not eligible to be hired in San Francisco, CA, Oakland, CA, San Jose, CA, or the surrounding areas.\n Travel  \n We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.\n Compensation \n *Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above. \n . The estimated pay ranges for this role are as follows:\n \n Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $155,520 - $194,400.\n Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area)","salary_min":182960,"salary_max":228700,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"lead","tags":["payments","security","fine-tuning","agents"],"apply_url":"https://job-boards.greenhouse.io/twilio/jobs/8160279","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-26T19:25:54Z","expires_at":"2026-09-30T13:40:06.166533Z","created_at":"2026-08-29T13:40:25.23133Z","updated_at":"2026-08-31T13:40:06.291118Z","company_name":"Twilio","company_slug":"twilio","company_logo_url":"https://www.google.com/s2/favicons?domain=twilio.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/896963d3-d6bb-4619-8398-538ac2eb09ca"},{"id":"2917fb5b-fe4b-4a9d-af4e-32d88dc63556","company_id":"adc4981a-d4ff-4939-952f-362f51e1291d","title":"Senior Enterprise AI Engineer, IT Operations","slug":"senior-enterprise-ai-engineer-it-operations-0211d5b9","description":"Our Mission: \n 6sense's mission is to multiply what matters: growth, retention, and efficiency.  We envision a future where companies, teams and people reach their full potential.\n Our People: \n People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Win as One Team, Stay Curious, Do The Right Thing, Own the Outcome, and Create Belonging.  Every 6sensor plays a part in defining the future of our industry-leading technology.  6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers.  We want 6sense to be the best chapter of your career. \n \n Senior Enterprise AI Engineer, IT Operations\n About the Role\n We're looking for a Senior Enterprise AI Engineer to help scale internal operations through AI-driven systems, workflow automation, and intelligent agents. This role will build and deploy secure, production-ready AI solutions that improve employee productivity, automate business processes, and enhance decision-making across the organization.\n Success in this role is measured by delivering impactful AI-powered solutions that solve real business problems while maintaining security, reliability, and compliance.\n \n Key Responsibilities\n 1. AI Systems and Agent Development\n \n Design, build, and deploy enterprise AI solutions using Workato, MCP frameworks, Microsoft 365 Copilot, Claude, and related technologies.\n Develop AI agents and assistants that automate workflows across IT, Security, Finance, HR, Legal, and GTM functions.\n Contribute to reusable patterns for agent orchestration, prompt design, context management, and human review workflows.\n \n 2. Enterprise Automation and Integration\n \n Build and maintain end-to-end automated workflows using Workato and related integration platforms.\n Integrate SaaS applications, internal systems, and data services into AI-powered business workflows.\n Identify opportunities to reduce manual effort through automation and process optimization.\n \n 3. AI Governance, Security, and Risk\n \n Implement security, privacy, and compliance requirements within AI solutions.\n Follow established governance frameworks and best practices for responsible AI.\n Apply controls that protect against data leakage, prompt injection, and unauthorized access.\n Partner with Security and IT teams to ensure AI systems operate safely and compliantly.\n \n 4. Platform Enablement and Scale\n \n Develop reusable AI components, templates, and integrations that accelerate adoption across teams.\n Document best practices and implementation patterns.\n Support internal teams in deploying and expanding AI-enabled workflows.\n \n 5. Productivity and Employee Experience\n \n Leverage Microsoft 365 Copilot, Claude, and related tools to improve employee productivity.\n Identify and implement high-value AI use cases across business functions.\n Measure and optimize the effectiveness of deployed AI solutions.\n \n 6. Cross-Functional Collaboration\n \n Partner with business stakeholders to understand operational challenges and define solutions.\n Translate requirements into scalable technical implementations.\n Collaborate with IT, Security, Enterprise Applications, and business teams to deliver successful outcomes.\n \n \n Required Qualifications\n \n 5+ years of experience in enterprise engineering, software engineering, automation, or IT systems.\n Hands-on experience building integrations and workflows using Workato, Tines, or similar platforms.\n Experience working with LLM-based applications, prompt engineering, AI assistants, or agent frameworks.\n Strong understanding of APIs, integrations, and SaaS ecosystems.\n Experience implementing security and compliance controls within cloud-based environments.\n Strong problem-solving skills and ability to independently deliver technical solutions.\n \n \n Preferred Qualifications\n \n Experience with MCP or similar agent and context management frameworks.\n Experience extending Microsoft 365 Copilot and leveraging Microsoft Graph APIs.\n Experience with Claude or other enterprise AI platforms.\n Familiarity with AI governance and responsible AI principles.\n Experience supporting internal platforms or business systems within a SaaS company.\n \n \n Core Competencies\n \n AI and automation mindset.\n Strong software and systems engineering fundamentals.\n Security-conscious development practices.\n Cross-functional collaboration and communication.\n Ability to simplify business processes through technology.\n Bias for execution and continuous improvement.\n \n \n Success Metrics\n \n Deployment of production-ready AI solutions that improve business operations.\n Reduction in manual effort and operational overhead.\n Increased productivity through automation and AI adoption.\n Reliability, security, and compliance of deployed solutions.\n Successful delivery of AI initiatives within scope and timeline.\n \n \n What Good Looks Like\n \n Delivers production-ready AI solution","salary_min":127460,"salary_max":186941,"location":"New York, NY","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["payments","llm","code-generation","agents"],"apply_url":"https://boards.greenhouse.io/6sense/jobs/8133093?gh_jid=8133093","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-26T19:14:51Z","expires_at":"2026-09-30T13:41:36.773902Z","created_at":"2026-08-27T13:41:47.201107Z","updated_at":"2026-08-31T13:41:36.895238Z","company_name":"6sense","company_slug":"6sense","company_logo_url":"https://www.google.com/s2/favicons?domain=6sense.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/2917fb5b-fe4b-4a9d-af4e-32d88dc63556"},{"id":"e9df7d6e-9243-4269-8196-cc7374752000","company_id":"63bced38-3605-4e57-99f3-e213b2d40bf3","title":"Sr. Software Engineer, Data Platform","slug":"sr-software-engineer-data-platform-56629500","description":"Opportunity Overview:  \n This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events.\n We’re seeking a Senior Software Engineer to join our Data Platform team and take ownership of designing and delivering large-scale, reliable, and governed data pipelines that power analytics, operations, and clinical intelligence across Cohere Health. This role is ideal for an engineer who thrives on solving complex data challenges, mentoring others, and raising engineering standards while contributing to scalable and sustainable platform growth.\n As a Senior Software Engineer of the data platform team, you’ll operate across the end-to-end data lifecycle—from ingestion to transformation to integration—driving solutions that align with architectural best practices, governance needs, and business outcomes. You’ll partner closely with analytics engineers, architects, and product stakeholders to ensure that data products are performant, compliant, and trustworthy.\n What you’ll do: \n \n Lead the design and implementation of complex data pipelines and infrastructure across multiple domains\n Mentor junior engineers, sharing expertise and raising team-wide engineering standards\n Implement and enforce data quality, schema validation, and observability practices to ensure trustworthy outputs\n Contribute to architecture discussions and tool evaluation, helping to shape platform scalability and governance alignment\n Write clean, maintainable, and testable code in Python and SQL, following best practices in version control, CI/CD, and documentation\n Optimize and monitor production workflows using tools such as Airflow, dbt, Athena, EMR, Kafka, and Iceberg/Parquet\n Collaborate with cross-functional stakeholders (analytics, product, compliance) to ensure technical solutions meet business needs\n Participate in on-call rotations to support critical platform jobs and reduce operational disruptions\n Champion a culture of excellence, accountability, and continuous improvement through code reviews, documentation, and knowledge sharing\n \n What you’ll need: \n \n Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field is required\n 5+ years of experience in data engineering or software development with a strong focus on data infrastructure\n Demonstrated success designing and delivering large-scale, reliable, and governed data infrastructure projects\n Track record of building and maintaining production grade systems using APIs\n Strong proficiency in Python and SQL, with experience applying software engineering rigor to data workflows (testing, version control, observability)\n Hands-on experience with modern data tools such as Airflow, dbt, AWS (EMR, Athena, S3), Iceberg, Parquet, and Kafka\n Track record of mentoring engineers and raising team-wide engineering standards through code reviews, documentation, and knowledge sharing\n Ability to work effectively in a fast-paced, agile environment, collaborating across technical and non-technical stakeholders\n Experience with healthcare data (claims, eligibility, clinical, EHR) is strongly preferred\n Understanding of data security, privacy, and compliance practices (HIPAA or similar) in pipeline and platform design\n Experience with snowflake, Databricks is a plus\n Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field is a plus\n \n  \n Pay \u0026 Perks: \n 💻 Fully remote opportunity with about 5% travel\n 🩺 Medical, dental, vision, life, disability insurance, and Employee Assistance Program \n 📈 401K retirement plan with company match; flexible spending and health savings account \n 🏝️ Flex Time Off + company holidays\n 👶 Up to 14 weeks of paid parental leave \n 🐶 Pet insurance  \n The salary range for this position is $130,000 to $160,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment. \n  \n Interview Process*: \n \n Connect with Talent Acquisition for a Preliminary Phone Screening\n Meet your Hiring Manager!\n Feature Design\n System Design\n Behavioral Interview\n \n *Subject to change\n  \n About Cohere Health: \n Cohere Health’s clinical intelligence platform and agentic AI-powered solutions connect health plans’ strategic goals and providers’ needs, optimizing the speed, cost, and quality of care. With an enterprise approach that streamlines payer-provider decision-making across the care continuum–including policy, prior authorization, payment accuracy, and more–the company improves collaboration and reduces burden, resulting in up to 8x ROI and 94% provider s","salary_min":130000,"salary_max":160000,"location":"United States","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["payments","agents","healthcare","cloud","data-pipeline"],"apply_url":"https://job-boards.greenhouse.io/coherehealth/jobs/7978386003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-26T16:37:59Z","expires_at":"2026-09-30T13:36:46.15581Z","created_at":"2026-08-27T13:36:40.138107Z","updated_at":"2026-08-31T13:36:46.27695Z","company_name":"Cohere Health","company_slug":"cohere-health","company_logo_url":"https://www.google.com/s2/favicons?domain=coherehealth.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/e9df7d6e-9243-4269-8196-cc7374752000"},{"id":"1a525cd5-6fd1-4af5-be1b-eaa2a3e7709e","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Senior ML Engineer, Core Development","slug":"senior-ml-engineer-core-development-94a264b5","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the  expertise , technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed,  built  and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a  realtime , 3D  command  and control center. As the world enters an era of strategic competition, Anduril is committed to bringing  cutting-edge  autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.   \n About the Team:   Air Dominance \u0026 Strike designs, builds, and flies autonomous air vehicles—from  collaborative combat aircraft to expendable cruise missiles and counter-UAS  interceptors. Our vehicles move from whiteboard to first flight on timelines that  traditional primes consider impossible, which means our design cycles live or die  on how fast we can close the iteration loop. The Anduril AI Engineering team  exists to collapse that loop.    \n We are engineers first. We work from engineering first principles and unlock capability through machine learning and AI. We are building to scale across CFD, FEA, thermal, and electromagnetics, with pipelines, architectures, and validation practices that carry across programs.   \n   About the Job   We are looking for a Machine Learning Engineer to apply the latest research in  physics ML to the toughest bottlenecks in our design cycle. This role owns the  entire surrogate modeling stack for Air Dominance \u0026 Strike—the architectures,  the training infrastructure, the simulation data pipelines that feed it, and the  tooling design engineers use to consume predictions.    \n   You will develop, train, and deploy surrogate models that accelerate the physics simulations underpinning our air vehicle programs. Working alongside aerodynamicists, structures engineers, and thermal engineers, your models will directly inform decisions on hardware that actually flies. Where current methods fall short, you will develop new ones, with ample room to identify novel applications of physics ML across our portfolio.    \n   Defense experience is not required. We are looking for engineers who came to machine learning through the complex physical problems they were already trying to solve.    \n   This role is based onsite in our Costa Mesa, CA office.   \n   What You'll Do   \n \n Own the Surrogate Modeling Stack:  Drive the end-to-end design, training, and deployment of production-grade surrogate models to accelerate critical simulation workflows (CFD, FEA, thermal, structural, and aeroelastic) across air vehicle design.   \n Develop State-of-the-Art Architectures:  Design and implement neural architectures tailored to engineering physics, developing new techniques for uncertainty quantification, active learning, and inverse problems (such as geometry and shape optimization).   \n Build Robust Data \u0026 Training Infrastructure:  Create the pipelines behind the training—extracting, aggregating, and sanitizing tens of thousands of high-fidelity results from solver outputs.   \n Optimize \u0026 Integrate:  Optimize inference for the design loop (maximizing GPU utilization, batched evaluation, and interactive-speed latency) and seamlessly integrate surrogate predictions into the tooling our domain engineers already use.   \n Collaborate \u0026 Mentor:  Partner with domain engineers to identify where ML delivers the highest leverage, stay current with Physics AI research, and provide technical mentorship to non ML engineers.   \n \n Qualifications   \n \n Education:  BS, MS, or PhD in aerospace, thermal, mechanical, or electrical engineering, or in machine learning/AI/data science with a demonstrated engineering foundation.   \n Experience:  3+ years of experience taking ML models from R\u0026D into production using large-scale scientific or engineering datasets.   \n Physics ML Expertise:  Working knowledge of modern surrogate architectures (e.g. GNNs, Transolver, DoMINO \u0026 GeoTransolver) comb","salary_min":220000,"salary_max":292000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["payments","pytorch","computer-vision","data-pipeline","distributed-systems","tensorflow","mlops","machine-learning"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5216691007?gh_jid=5216691007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-26T15:59:24Z","expires_at":"2026-09-30T13:37:35.930735Z","created_at":"2026-08-27T13:37:38.482223Z","updated_at":"2026-08-31T13:37:36.055146Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/1a525cd5-6fd1-4af5-be1b-eaa2a3e7709e"},{"id":"44046e1e-69ad-4692-9110-7bb87edaadaf","company_id":"43dd17db-bec3-4ebb-a432-f71d57a9aa47","title":"Staff Software Engineer, Imaging","slug":"staff-software-engineer-imaging-4ba96095","description":"THE OPPORTUNITY\n\ninsitro is a physical AI company dedicated to unlocking causal human biology and accelerating the delivery of better medicines to patients. Our unique Virtual Human™ platform identifies novel, high-impact genetic intervention points, which our TherML™ platform translates into therapeutics—whether small molecules, biologics, or oligos. With multiple programs in metabolic disease and neuroscience advancing toward the clinic, and our first IND submission slated for the second half of this year, we are at a pivotal inflection point.\n\nAs a Staff Software Engineer on our Imaging Software team, you will define and expand our computer vision and ML infrastructure across the full imaging data lifecycle — from on-microscope acquisition to high-throughput ML pipelines. You'll build the platform features that make novel imaging modalities and ML-derived phenotypes integral to our discovery workflows, partnering daily with lab scientists, ML scientists, and our microscopy team to turn research prototypes into validated screening workflows that run reliably at laboratory automation scale. This is a chance to set the technical direction for how imaging, automation, and machine learning converge in drug discovery.\n\nBased in South San Francisco, this position reports directly to the Director of Imaging, Cellular Machine Learning and offers an in-person hybrid schedule of three days per week.\n\n\n\n\nRESPONSIBILITIES\n\nPlatform \u0026 Tooling\n\n• Platform Enablement: Partner with lab and ML scientists to design, develop, and scale the platform capabilities needed to run and interpret ML-powered high-content imaging screens\n\n• User Tooling: Build and evolve robust tools and interactive interfaces for data exploration, quality assessment, and visualization so scientists can iterate quickly on experimental data\n\n• Architectural Ownership: Own complex, end-to-end projects, making thoughtful architectural trade-offs, and delivering incrementally with long-term maintainability in mind\n\nProduction Hardening \u0026 Data Integrity\n\n• Production Hardening: Scale and harden complex image processing and ML workflows, taking them from research prototypes to systems that reliably process millions of images per day\n\n• Data Integrity: Set and uphold best-in-class practices for data integrity, lineage tracking, reproducibility, and observability across the entire imaging data lifecycle\n\n• Documentation: Write clear, exemplary technical specifications and documentation that others build on\n\nCross-Functional Partnership\n\n• Scientific Translation: Work closely with lab scientists, ML scientists, and microscopy teams to translate complex experimental needs into clear, actionable technical plans and shipped software\n\n• Mentorship: Raise the technical bar across the team by sharing knowledge and mentoring other engineers\n\n \n\n\nABOUT YOU\n\nExperience \u0026 Qualifications\n\n• Proven Tenure: 8+ years of professional experience building and operating production-grade software and high-throughput data pipelines, primarily in Python\n\n• ML Platform Depth: You have designed, built, and deployed scientific computing pipelines, visualizations, and QC processes for large-scale imaging or similarly high-dimensional datasets\n\n• Distributed Systems Stack: Hands-on experience with a Python-first ML stack, distributed compute (e.g., PyTorch/Lightning, Ray, Kubernetes), and workflow orchestration (e.g., Argo, Airflow, or redun)\n\n• End-to-End Delivery: A track record of owning complex systems from architecture through production operation\n\nCore Competencies\n\n• Cross-Functional Partnership: You thrive alongside scientists and excel at translating abstract research needs into practical, scalable software\n\n• Mission-Driven: You're motivated by enabling scientific breakthroughs through robust platform engineering\n\n• Force Multiplier: You enjoy mentoring and leveling up the engineers around you \n\n\n\n\nCOMPENSATION \u0026 BENEFITS AT INSITRO\n\nOur target starting salary for successful US-based applicants for this role is $219,000 - $233,000. To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data.\n\nThis role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies.\n\n\n\nIn addition, insitro also provides our employees:\n\n - 401(k) plan with employer matching for contributions\n\n - Excellent medical, dental, and vision coverage as well as mental health and well-being support\n\n - Open, flexible vacation policy\n\n - Paid parental leave of at least 16 weeks to support parents who give birth, and 10 weeks for a new parent (inclusive of birth, adoption, fostering, etc)\n\n - Quarterly budget for books and","salary_min":219000,"salary_max":233000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["payments","healthcare","data-pipeline","pytorch","computer-vision","fine-tuning","distributed-systems"],"apply_url":"https://jobs.ashbyhq.com/insitro/ff6605ae-4961-4a06-b656-6d7dc665d990/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-25T22:43:18.642Z","expires_at":"2026-09-30T13:37:01.281085Z","created_at":"2026-08-26T13:36:56.743297Z","updated_at":"2026-08-31T13:37:01.408623Z","company_name":"Insitro","company_slug":"insitro","company_logo_url":"https://www.google.com/s2/favicons?domain=insitro.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/44046e1e-69ad-4692-9110-7bb87edaadaf"},{"id":"4461ba71-4dc2-4cd0-918d-d948be032e34","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Air Vehicle Lead","slug":"air-vehicle-lead-bf2f2798","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE JOB\n Anduril is seeking a Lead Air Vehicle Engineer to join the Maneuver Dominance team at our Costa Mesa HQ to lead the convergence of technical efforts in developing an advanced airborne platform. This individual will play a pivotal role in shaping the future of vertical flight focusing on air vehicle development and integrating mission autonomy to meet the evolving demands of defense capabilities. Here you will work on core product development for unmanned rotorcraft and complex systems, including but not limited to aircraft configuration, composites, mechanisms, and structures. The role requires high ownership and frequent collaboration with other core disciplines. The ideal candidate would be practical, hands-on, and a self starter. High growth potential is possible as well as additional leadership opportunities.\n WHAT YOU’LL DO\n \n Execute rapid evaluation of engineering concepts across a wide range of aerospace disciplines\n Perform trade studies and physics-based analysis of blue-sky engineering problems\n Advanced design, configuration, implementation of a highly complex advanced air vehicle\n Operate with extreme visibility and exercise a vast level of professional autonomy\n Lead design reviews, run analysis, interface with vendors, define and execute hardware test plans\n Build prototypes, analyze failures, and transition successful projects into production\n Support critical software and hardware demonstrations with customers as needed\n Use first principles physics as a basis for every decision\n Ability to provide input across a variety of technical domains not limited to: aerodynamics, flight dynamics, GNC, aeroelastic, loads and dynamics\n \n REQUIRED QUALIFICATIONS\n \n Bachelor's degree in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Robotics, Physics , or related technical discipline.\n Minimum of 8 years in technical leadership roles such as Technical Program Manager, Chief Engineer, Lead Engineer, or similarly relevant position.\n Leadership experience in engineering team management and project execution for aerospace or defense sectors.\n Deep experience developing VTOL platforms.\n Broad exposure to aircraft concepts, design layouts, static stability, control architectures and propulsion concepts.\n Demonstrated ability to lead and inspire cross-functional teams, fostering a collaborative environment that drives innovation and project success.\n Strong project management skills, with experience using tools like JIRA and Confluence, and knowledge of Agile and Waterfall methodologies.\n Exceptional communication and stakeholder management abilities, capable of engaging effectively with both technical teams and non-technical partners.\n Knowledge of aircraft design principles, including familiarity with vertical lift, as well as aircraft build and integration, and flight test execution/oversight.\n Hands-on experience with the development and deployment of autonomous systems, particularly in rotorcraft or large UAS.\n Eligible to obtain a U.S. Secret security clearance\n Ability to travel up to 50% depending on the product lifecycle\n \n PREFERRED QUALIFICATIONS\n \n Direct experience with autonomous systems, specifically with the development and integration of rotorcraft or larger UAS.\n Deep familiarity with unmanned aircraft, autonomous systems, robotics, aircraft design.\n Knowledgeable in the nuanced integration of complex systems, such as launched effects, into aerial platforms, ensuring system compatibility and performance.\n An extensive network within the aerospace industry, enabling effective collaboration and leveraging partnerships for product development.\n Familiarity with Defense Acquisition Processes and a clear understanding of key review stages and compliance requirements.\n Relevant professional certifications that underscore a commitment to continuous learning and application of industry best practices.\n Customer-facing experience with a proven ability to lead high-profile programs and navigate complex client relationships with confidence and authority.\n US Salary Range\n $191,000 — $253,000 USD \n The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may var","salary_min":191000,"salary_max":253000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["payments","computer-vision","robotics","cloud"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5221660007?gh_jid=5221660007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-25T19:00:36Z","expires_at":"2026-09-30T13:37:23.437226Z","created_at":"2026-08-25T19:38:27.098212Z","updated_at":"2026-08-31T13:37:23.560159Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/4461ba71-4dc2-4cd0-918d-d948be032e34"}],"page":1,"per_page":20,"total":1445,"total_is_exact":true,"total_pages":73}