{"access":{"catalog_url":"https://aidevboard.com/api/v1/catalog","description":"Public read endpoints are open and free. API keys are optional for stable agent identity and keyed hourly throttling.","docs_url":"https://aidevboard.com/docs","employer_pilot_url":"https://aidevboard.com/verified-interview-pilot","mode":"open","register_url":"https://aidevboard.com/api/v1/register"},"candidate_resume_action":{"application_authorized":false,"candidate_charge":0,"endpoint":"https://aidevboard.com/api/v1/candidate/resume-preview","job_id_json_path":"jobs[].id","method":"POST","preview_requires_identity":false,"required_body_fields":["job_id","evidence_bullets"],"requires_explicit_human_review":true,"saved_artifact_protocol":"mcp","saved_artifact_requires_verified_human":true,"saved_artifact_tool":"compile_job_specific_resume","search_requires_identity":false,"status":"available_after_candidate_selects_job","submission_performed":false,"uses_candidate_verified_evidence":true},"degraded":false,"estimated":false,"has_next":true,"jobs":[{"id":"5cda7f2c-d00e-45ae-bf4a-b6e6811a6e5a","company_id":"7f070aa1-7d20-4bbe-b6d2-68769923074e","title":"Principal Enterprise Technology Architect","slug":"principal-enterprise-technology-architect-e98bf7db","description":"Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.\n\n\n\nWe're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.\n\n\n\nWe're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.\n\n\n\nIf you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.\n\n\n\nAbout the Role:\n\nWe are looking for a Principal Enterprise Technology Architect to own the technical vision for how our internal business systems connect, scale, and evolve. This is a newly created senior Individual Contributor role: you will be the highest-ranking technical voice in our Enterprise Technology organization, setting the architectural standard that guides our team of experienced system administrators.\n\n \n\nCrusoe is at an inflection point. We have mature, capable platforms running Finance (Oracle Fusion, Coupa, Sage Intacct), Construction and Operations (Procore, Oracle Primavera), and People (Rippling, Ashby), but they operate largely as islands. Your mandate is to design the unified architecture that connects them: defining master data models, engineering a scalable and increasingly event-driven integration layer, and building the governance frameworks (including how AI is responsibly introduced into these systems) that take us from startup agility to enterprise maturity.\n\n \n\nThis is a greenfield architecture role first. You will spend the majority of your time designing systems, producing ERDs, context diagrams, and sequence flows, before a single line of configuration is written. This role does not carry formal people-management responsibility, though as a Principal (P6) you may guide contributors indirectly on complex initiatives. You will serve as the integration and architecture subject matter expert that a team of senior administrators pulls in on complex, cross-system initiatives, and as a voice in Architecture Review Board discussions on major platform changes.\n\n \n\nThis role partners with, rather than replaces, existing domain owners: the IT Architect retains ownership of iPaaS design and governance, the Identity Lead retains ownership of IAM/PAM and access governance, and the AI \u0026 Automation Staff Engineer retains ownership of AI governance and architecture. This role's mandate is enterprise-wide data-model and integration-pattern design, done in partnership with those owners.\n\n\n\nWhat You'll Be Working On:\n\n \n\n - Greenfield Architecture \u0026 System Design\n   \n   - Lead technical discovery for all major system initiatives, producing high-fidelity artifacts — ERDs, system context diagrams, data flow maps, and sequence diagrams — that serve as the source of truth for implementation\n   \n   - Assess current platform limitations and define the path forward, including when to optimize, when to re-platform, and when to build a custom integration layer\n   \n   - Serve as the primary technical evaluator during software procurement, vetting vendors on API robustness, data model flexibility, and security compliance — not just features\n   \n   - Identify and document integration debt across the current-state architecture and develop a prioritized roadmap to address it\n   \n   - Participate in Architecture Review Board discussions, ensuring major system changes align with enterprise standards and reference architecture\n\n - Master Data \u0026 Integration Strategy\n   \n   - Partner with platform SMEs and administrators to define a unified approach to master data across the organization\n   \n   - Partner with the IT Architect and platform SMEs who own our iPaaS integration environment today, co-developing reusable integration patterns, error-handling frameworks, and self-healing workflows that raise the bar without displacing existing ownership\n   \n   - Drive integration architecture toward API-first, event-driven patterns (REST, webhooks/pub-sub) where they improve reliability and reduce latency over batch processing\n   \n   - Define how internal systems authenticate and communicate, with strict enforcement of secure API standards (OAuth 2.0, REST/SOAP) across all integrations\n\n - AI \u0026 Intelligent Automation\n   \n   - Partner with t","salary_min":225000,"salary_max":255000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["embeddings","agents","code-generation","llm","cloud"],"apply_url":"https://jobs.ashbyhq.com/crusoe/582f3d5e-2ee6-47b7-9cfc-a9691cfa4bca/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-27T23:24:29.385Z","expires_at":"2026-09-29T13:35:58.87575Z","created_at":"2026-08-29T13:36:18.423689Z","updated_at":"2026-08-30T13:35:59.01172Z","company_name":"Crusoe","company_slug":"crusoe","company_logo_url":"https://www.google.com/s2/favicons?domain=crusoe.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/5cda7f2c-d00e-45ae-bf4a-b6e6811a6e5a"},{"id":"aaf7ec32-bbf7-4611-abc5-5e83434d9431","company_id":"63839083-85dd-4aa0-b128-254fc82866e5","title":"Applied AI Security Engineer","slug":"applied-ai-security-engineer-283a59d1","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nWaabi is leaning into an AI-native strategy — not just in our trucks, but in how we build, ship, and operate every day. Our teams leverage key AI tools to enhance productivity and efficiency, continuously expanding AI integration across our systems and workflows. That's a huge unlock, and it's moving fast. We're looking for someone to make sure it keeps moving fast safely — by establishing the guardrails and collaborating on the implementation of sandboxes and automations that let people adopt AI with confidence instead of second-guessing themselves. You'll join a small, sharp security team and take primary ownership of AI security controls and considerations across the company. If you've got a developer's instincts, a security mindset, and you're genuinely curious about what these tools can and can't be trusted to do, this role is built around you.\n \nYou will...\n- Audit how AI tools and MCP integrations are currently used across the company, and map where they touch sensitive systems, data, or credentials for the purpose of defining policy.\n- Design and implement layered guardrails - enterprise-level system prompts, scoped permissions, sandboxing patterns - that constrain AI behavior before it ever reaches a user's request.\n- Maintain an inventory of both MCP servers and AI-to-service connections and their data access controls, with a clear model of what each one can access and why.\n- Partner directly with users across the organization to bake secure-by-default patterns into their AI-assisted workflows so that written policy doesn’t just sit on a shelf.\n- Evaluate new AI tools, plugins, and integration requests, and figure out the secure way to say yes.\n- Continuously test and red-team your own guardrails - assume they'll be pushed on, and find the gaps before someone else does.\n- Document guidance and patterns that a non-security audience can actually follow without needing a security background.\n \nQualifications:\n- Bachelor's degree in Computer Science or a related field.\n- Professional software development experience, with solid fundamentals in how services, APIs, and permissions fit together.\n- Hands-on experience using AI coding/productivity tools (Claude, Copilot, Gemini, or similar) in business-critical workflows.\n- Working knowledge of core security concepts — least privilege, sandboxing, trust boundaries, threat modeling basics.\n- Strong communication skills - you work with engineers as a partner.\n \nBonus:\n- Experience with MCP (Model Context Protocol) or similar tool-calling/agent-integration frameworks.\n- Exposure to prompt injection, jailbreaking, or other AI/LLM-specific attack techniques.\n- Background in autonomous vehicles, robotics, or other safety-critical systems\n \n \n","salary_min":118000,"salary_max":168000,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"mid","tags":["code-generation","llm","security","autonomous-vehicles","robotics"],"apply_url":"https://jobs.lever.co/waabi/c4559ea4-1912-4d77-a32c-1a32849e86a0/apply","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-27T18:45:54.224Z","expires_at":"2026-09-29T13:36:11.450611Z","created_at":"2026-08-29T13:36:31.316177Z","updated_at":"2026-08-30T13:36:11.584109Z","company_name":"Waabi","company_slug":"waabi","company_logo_url":"https://www.google.com/s2/favicons?domain=waabi.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/aaf7ec32-bbf7-4611-abc5-5e83434d9431"},{"id":"3e2df0c0-ff4d-425d-92f8-e7659ec6ac10","company_id":"6734f15a-40ed-4186-ae4a-d774c655ae58","title":"Associate Director, App   ","slug":"associate-director-app-6167d1da","description":"Your Impact at LILA \n Scientists shouldn't have to context-switch between a dozen tools to go from hypothesis to result. We're building the platform that makes this a reality — and we need engineering leaders who want to build the team that solves problems no one has solved before.\n We're hiring an Associate Director of Engineering, Application Team to lead the engineers designing the agents, interfaces, and platform integrations that let researchers seamlessly collaborate with AI.\n About The Team \n The Application Team sits at the center of LILA — the integration point where Machine Learning, Life Sciences, Physical Sciences, and Software become one AI-native experience that carries a scientist from hypothesis to experiment to breakthrough results.\n \n AI isn't a feature here — it's the architecture. Agent frameworks, tools, and LLM orchestration are core primitives, not bolt-ons.\n The problems are genuinely hard. Connecting AI to automated lab workflows, ML pipelines, and multi-domain knowledge graphs means inventing patterns, not copying them.\n You'll lead engineers who learn domains they never expected. Working shoulder-to-shoulder with lab scientists and ML engineers means your team's technical surface area grows fast.\n Your team ships things that matter. The tools they build accelerate research timelines from months to days.\n \n If you want to lead at the intersection of AI and science, move fast, and grow the kind of team that can architect systems that don't exist yet — we want to talk.\n What You'll Be Building \n \n Team Leadership: Build, mentor, and manage a high-performing team of 8-10 engineers spanning full-stack, agent, and platform expertise. Foster a culture of collaboration, ownership, and continuous improvement; conduct performance reviews, provide feedback, and identify opportunities for growth. Manage team workload, prioritize projects, and ensure timely delivery of high-quality solutions.\n Technical Strategy \u0026 Execution: Define and execute the technical roadmap for LILA's application layer aligning with LILA's broader AI and product strategy. Drive innovation in how scientists interact with AI-driven systems.\n Product Delivery: Own end-to-end delivery of the application platform — chat, agents, artifacts, and the integrations connecting them to lab workflows and ML pipelines — ensuring reliability, performance, and security across everything the team ships.\n Cross-Functional Collaboration: Partner with ML researchers, scientists, product managers, and other engineering leaders to understand scientific workflows and translate them into product capabilities. Communicate technical concepts effectively to both technical and non-technical audiences; manage expectations and ensure alignment across teams.\n Engineering Thought Leadership: Represent LILA's applied-AI work externally through conferences, presentations, and writing — helping attract top talent and establishing LILA's leadership at the intersection of AI and science.\n \n What You'll Need To Succeed \n \n Bachelor's or Master's degree in Computer Science, Engineering, or related field.\n 12+ years of engineering experience building and deploying large-scale production systems, with 5+ years leading senior engineers.\n Track record of building and growing high-performing engineering teams in high-growth or early-stage environments where speed-to-value mattered as much as long-term architecture.\n Deep technical judgment on Applied AI (agents, MCP, context engineering) and across the full stack (React, TypeScript, Python, FastAPI, SQL/NoSQL, AWS, Kubernetes).\n Hands-on experience — personally and on the teams you've led — using AI coding assistants and agentic tooling to drive productivity.\n Proven ability to define technical strategy, drive it to execution, and balance trade-offs between scalability, performance, delivery speed, and maintainability.\n Acute listening skills and a proven track record of partnering cross-functionally with scientists, ML engineers, product, and design; able to explain complex ideas to diverse audiences.\n \n Bonus Points For \n \n Applied AI Engineering leadership: Experience shipping products built on AI agents, graph-based workflows, tool-use protocols (MCP), RAG pipelines, or LLM orchestration frameworks.\n AI-native product intuition: A point of view on what \"good\" looks like for chat, agent, and copilot experiences — and how to evolve it as the underlying models improve.\n Cloud \u0026 DevOps depth: Familiarity with AWS, Kubernetes, infrastructure-as-code (Terraform, CloudFormation), and CI/CD (GitHub Actions).\n Thought leadership in the applied-AI community via conference talks, blog posts, or open source.\n Scientific domain exposure: Experience with laboratory software, analytics for life sciences or material sciences, or adjacent scientific computing domains.\n Compensation \n We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect ","salary_min":204000,"salary_max":306000,"location":"Boston, MA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["rag","llm","code-generation","agents"],"apply_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4371404009","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-27T18:15:38Z","expires_at":"2026-09-29T13:48:18.242824Z","created_at":"2026-08-29T13:49:50.880603Z","updated_at":"2026-08-30T13:48:18.370176Z","company_name":"Lila Sciences","company_slug":"lila-sciences","company_logo_url":"https://www.google.com/s2/favicons?domain=lila.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/3e2df0c0-ff4d-425d-92f8-e7659ec6ac10"},{"id":"e82c02c8-1f82-44e8-a6a9-52c07aaa1af9","company_id":"714f360f-a244-487d-b3f0-0c43518a9e66","title":"Machine Learning Engineer II, Responsible AI","slug":"machine-learning-engineer-ii-responsible-ai-748de33f","description":"About Pinterest: \n Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.\n Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the  flexibility to do your best work. Creating a career you love? It’s Possible.\n At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.\n Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here .\n The Responsible AI team is part of the Advanced Technologies Group (ATG), Pinterest’s advanced machine learning team. ATG’s goal is to keep Pinterest at the forefront of machine learning technology across multiple use cases including recommendations, ranking, content understanding, and more. It is an applied team that works horizontally across the company on state of the art AI and ML and works on directly bringing that technology to the product in collaboration with product engineering teams. The team also publishes its work in applied research conferences, but the main goal of the team is to have a direct impact on business metrics.\n At Pinterest our goal is to inspire pinners (our users) to live the life they love. The product is powered by state of the art ML algorithms which are used to understand both the billions of visually rich items on the platform and the interests of our 535M+ monthly active users and recommend inspiring personalized content to them. What this means is that ML at Pinterest is not only multi-modal utilizing image, text, and graph signals as input, but it needs to operate at a very large scale and often in a real time interactive user experience.\n Pinterest is known for being a positive and inspirational place on the internet and we believe that inspiration begins with representation and belonging. The Responsible AI team is a horizontal team that collaborates across the company on various initiatives. These range from Generative AI alignment, evaluation, and mitigations - ensuring these models are safe, bias-free, and aligned with Pinterest’s vision and policies - to championing ML Fairness and developing user-facing features that enhance our product for all users. This includes launching groundbreaking features such as user-controllable skin tone , hair pattern search refinements, and more recently, body type .\n You’ll help shape forward-thinking projects, develop advanced ML approaches rooted in fairness and equitability, and pioneer responsible AI safeguards for emerging technologies. By joining this team, you’ll make a lasting impact on our Pinners, our business, and the evolution of ethical AI at Pinterest.\n What you'll do: \n \n execute on projects in the responsible AI frontier, to identify, avoid, and mitigate bias across a wide range of ML applications at Pinterest including generative AI. \n Collaborate with other engineering teams (trust and safety, user modeling, content understanding,) to leverage their platforms and signals and work with them to collaborate on the adoption and evaluation of Responsible AI practices and ML Fairness tooling across Pinterest.\n Mentor junior engineers on the Responsible AI team and across the company on the R-AI space.\n Work with the team and senior leaders at the company to define and drive technical strategy in this area.\n \n What we're looking for: \n \n Extensive, real-world experience applying advanced ML methods to production systems, with a strong track record in responsible technology - spanning fairness, ethics, and broader societal considerations.\n Deep familiarity with cutting-edge ML architectures (e.g., transformer-based models, 2-tower architectures, LLMs) and their applications in large-scale Search and Recommender Systems.\n Proven ability to measure, deploy, and refine fairness interventions and broader Responsible AI solutions at scale, bridging state-of-the-art research with tangible product impact.\n 2+ years working experience in the engineering teams that build large-scale ML-driven user-facing products\n Masters or PhD in Comp Sci or related fields\n \n Nice to have: \n \n Publications at top ML conferences\n Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring\n Familiarity with LLM-powered productivity tools for","salary_min":138905,"salary_max":285982,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"junior","tags":["generative-ai","code-generation","fine-tuning","llm","machine-learning"],"apply_url":"https://www.pinterestcareers.com/jobs/?gh_jid=8162046","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-27T16:29:11Z","expires_at":"2026-09-29T13:38:53.169272Z","created_at":"2026-08-29T13:39:28.752933Z","updated_at":"2026-08-30T13:38:53.311845Z","company_name":"Pinterest","company_slug":"pinterest","company_logo_url":"https://www.google.com/s2/favicons?domain=www.pinterest.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/e82c02c8-1f82-44e8-a6a9-52c07aaa1af9"},{"id":"f7fa2437-cf0f-4a4e-bb75-c370abf38956","company_id":"92ecd7f4-44ad-4dc4-8fe8-0c4cab4fa5db","title":"Senior Security Engineer","slug":"senior-security-engineer-2fdfa5d7","description":"Jasper is the marketing agents platform, built to help enterprises orchestrate AI agents that execute marketing work at scale. Purpose-built for marketing teams, Jasper enables faster, more consistent execution across campaigns, personalization, localization, and compliance—while maintaining enterprise-grade control and governance.\n\nJasper is trusted by hundreds of enterprises worldwide, including Prudential, Cushman \u0026 Wakefield, and nearly 20% of the Fortune 500. Founded in 2021, Jasper has team members across the U.S., Australia, and France.\n\n\n\n\nABOUT THE ROLE\n\nAs a Senior Security Engineer at Jasper, you'll be the first true generalist on our Security Engineering team—someone equally comfortable securing and building AI agents and platforms as they are automating GRC controls or hardening cloud infrastructure. This role sits at the center of a fast-moving security function, partnering closely with Engineering, GRC, Product, and IT to protect the systems and AI products Jasper builds.\n\n\n\nYou'll set technical direction on AI security while still being hands-on across infrastructure, product security, and compliance engineering—a true jack-of-all-trades role that flexes across the full security spectrum as priorities shift. This is a force-multiplier position on a small team where your work will have outsized impact on how Jasper builds securely at scale.\n\n\n\nThis fully remote role reports to the Director, Security and is open to candidates located anywhere in the US.\n\n\n\n\nWHAT YOU WILL DO AT JASPER\n\n - Lead the security design, implementation, and controls for Jasper’s AI infrastructure and AI-powered internal workflows—building the guardrails that govern how AI systems access, process, and handle sensitive data at every layer\n\n - Own threat modeling for AI-specific risks, including the attack surfaces that don’t map cleanly onto traditional application security, and design controls for validating, logging, and auditing AI outputs where accuracy and data protection are non-negotiable\n\n - Build security tooling and automated checks that let internal teams adopt AI capabilities without slowing down\n\n - Collaborate, design, and influence the direction of the Security program at Jasper\n\n - Work with the GRC team to build and maintain GRC-related engineering—automating evidence collection, control monitoring, and compliance workflows (ie. via Vanta or similar) so the team spends less time on manual audit prep\n\n - Strengthen infrastructure security across GCP and AWS: identity and access management, network segmentation, secrets management, and secure-by-default infrastructure patterns\n\n - Own and improve GitHub security controls—branch protection, required reviews, secret scanning, dependency/SCA policies, and CI/CD pipeline security\n\n - Operate and tune Wiz (or equivalent CSPM/CNAPP tooling) to continuously identify and drive remediation of cloud misconfigurations and vulnerabilities\n\n - Use AI tools heavily in your own workflow (code review, triage, detection engineering, documentation) and help the broader security and engineering org do the same safely, while partnering cross-functionally with Engineering, Legal, Product, IT, and GRC to translate security and compliance requirements into practical, low-friction engineering solutions\n\n\n\n\nWHAT YOU WILL BRING TO JASPER\n\n - AI fluency—a working understanding of core AI concepts (LLMs, agents, copilots, tokens, credits, context windows, RAG, data governance, etc.), applied in the context of security engineering, with demonstrated enthusiasm for using AI tools to work faster and more effectively day to day\n\n - 8+ years in security engineering, with hands-on experience across at least two of: AI/ML security, cloud infrastructure security, and/or GRC compliance engineering\n\n - Practical experience securing AI systems—LLM applications, agents, or ML pipelines—including familiarity with common AI-specific threats (prompt injection, data leakage, model abuse, insecure tool use)\n\n - Deep understanding of security principles, best practices, and common vulnerabilities, including strong security judgment under ambiguity\n\n - A proactive mindset, with the ability to identify, prioritize, and address security gaps or inefficiencies through automation and tooling\n\n - Expertise and curiosity about using frontier models and agents to effectively solve security challenges\n\n - Demonstrated ability to build security programs, processes, or standards from scratch rather than inheriting a mature playbook\n\n - Strong working knowledge of GCP and AWS security services and IAM models\n\n - Experience with GitHub security controls (branch protection, secret scanning, Actions/CI security) and secure software supply chain practices\n\n - Hands-on experience with Wiz or a comparable CSPM/CNAPP platform\n\n - Comfort building automation and tooling (scripting, APIs, infrastructure-as-code) rather than relying solely on point-and-click console work\n\n - Strong cross-functional c","salary_min":174250,"salary_max":205000,"location":"United States","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["cloud","code-generation","agents","security","llm"],"apply_url":"https://jobs.ashbyhq.com/Jasper%20AI/f5a4a890-e544-4a85-bd45-f75ad40b0d35/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-26T20:11:04.163Z","expires_at":"2026-09-29T13:33:33.656227Z","created_at":"2026-08-27T13:33:28.60769Z","updated_at":"2026-08-30T13:33:33.79617Z","company_name":"Jasper AI","company_slug":"jasper-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=jasper.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/f7fa2437-cf0f-4a4e-bb75-c370abf38956"},{"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":["agents","payments","code-generation","llm"],"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":"2026-09-29T13:41:04.842436Z","created_at":"2026-08-27T13:41:47.201107Z","updated_at":"2026-08-30T13:41:04.974958Z","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":"82dec910-1062-4275-8ca4-cb2a591a1dd1","company_id":"5d6de1f6-4d6c-463b-8a2b-a5caeadb97b4","title":"Senior Software Engineer - Build, NYC","slug":"senior-software-engineer-build-nyc-e267b790","description":"Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 800 of the world's leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit  www.astronomer.io http://www.astronomer.io.\n\n\n\n\nABOUT THIS ROLE\n\nApache Airflow is one of the most popular open-source data platform tools. It powers the data platforms at nearly every large company and fast-growing startups: Airbnb, Uber, OpenAI, Anthropic, Nike, Capital One, Disney all use Airflow extensively. At Astronomer, we’re the largest contributors to the project and are building commercial products around Airflow to make it easier to use, run, and scale.\n\n\n\nWe’re in a unique position: as the company behind Apache Airflow, we see data as it moves across entire organizations—from raw ingestion to production dashboards, machine learning models, and AI products. Leveraging this vantage point, our R\u0026D team is developing a global context layer for data—an intelligence layer that powers search and discovery, code generation for data and analytics, and automated root cause analysis. LLMs are already quite good at writing Python and SQL code against data platforms; we think this context layer will give them the metadata necessary for data practitioners everywhere to use LLMs effectively.\n\n\n\nAs a Software Engineer on this team, you’ll help design and build this foundation and the applications around it. You’ll work on some of the hardest and most exciting challenges in data—search, information retrieval, and AI for data pracitioners—while collaborating with a small, highly skilled team that values velocity, creativity, and impact. This role sits at the intersection of applied research, software engineering, and product: we think it takes someone who can work across the stack to build, release, and scale products successfully in this space.\n\n\n\nHybrid Work Model: For this role, you will embrace a flexible hybrid work model with at least 3 days per week in our New York City office.\n\n\n\n\n\nWHAT YOU GET TO DO:\n\n - Shape the future of AI for data engineering - build intelligent systems that understand, reason about, and optimize the flow of data across entire organizations.\n\n - Design and engineer the brain of Astronomer’s context layer, crafting components that power data modeling, semantic search, retrieval, and code generation.\n\n - Push the boundaries of applied AI - experiment with LLMs, embeddings, and cutting-edge retrieval techniques to create developer tools that deliver insights to you and our customers.\n\n - Turn research into reality - work side by side with R\u0026D and product teams to bring early AI concepts to life in the product experience.\n\n - Solve high-impact information retrieval and search challenges at a global scale, leveraging Astronomer’s unparalleled visibility into data pipelines across industries.\n\n - Influence the technical vision and architecture for the next generation of AI-driven data products.\n\n - Represent Astronomer in the community - through open-source contributions, technical talks, and publications that showcase our leadership in AI and data innovation.\n\n\n\n\nWHAT YOU BRING TO THE ROLE:\n\n - 5-8 years of software engineering experience with Python or Go\n\n - Empathy for users, and a deep interest in improving the workflows of data professionals.\n\n - Familiarity with early-stage product development; comfortable working with ambiguity in a fast-changing field.\n\n - Experience with LLMs, vector databases, embeddings, or other applied AI areas—or a strong desire to dive in.\n\n - A creative, experimental mindset: you enjoy exploring uncharted areas, validating hypotheses, and learning through iteration.\n\n - Strong collaboration and communication skills—you can explain complex systems clearly to both technical and non-technical audiences.\n\n - A collaborative approach and comfort working in an evolving, research-driven environment where ideas move quickly.\n\n\n\n\nBONUS POINTS IF YOU HAVE:\n\n - A passion for AI systems for data, developer tools, or machine learning infrastructure.\n\n - Familiarity with Apache Airflow or other orchestration tools.\n\n - Demonstrated contributions to open source projects.\n\n - Experience in search, IR, or large-scale data infrastructure.\n\n - Exposure to early-stage startups or R\u0026D organizations where ambiguity is the norm.\n\n - Experience building out agentic systems on top of frontier models.\n\n\n\nThe estimated total compensation for this role ranges from $210,000 - $250,000 based on leveling and geography, along with an equity component and a comprehensive benefits package. This range is merely an estimate; actual compensation may deviate from this range based on skills, experience, and qualific","salary_min":210000,"salary_max":250000,"location":"New York, NY","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["data-pipeline","code-generation","llm","search","embeddings","agents"],"apply_url":"https://jobs.ashbyhq.com/astronomer/3c72cd98-3493-4d30-8897-dc5e836db67e/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-26T08:13:00.068Z","expires_at":"2026-09-29T13:47:14.977036Z","created_at":"2026-08-26T13:47:11.23022Z","updated_at":"2026-08-30T13:47:15.105522Z","company_name":"Astronomer","company_slug":"astronomer","company_logo_url":"https://www.google.com/s2/favicons?domain=astronomer.io\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/82dec910-1062-4275-8ca4-cb2a591a1dd1"},{"id":"c176fb2a-4dab-4c84-9b30-9565eee362ea","company_id":"46e2df02-755e-46ce-a584-3f5881f34183","title":"Product Manager, Finance","slug":"product-manager-finance-c4294318","description":"About Turing \n Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com .  \n  \n Position Overview \n We are looking for an experienced Product Manager to lead the strategy, roadmap, and execution for platforms supporting Back Office Operations, especially around Fund controller accounting and Global Business Finance. The ideal candidate brings strong product management experience combined with deep knowledge of financial operations, operational controls, and controller functions.\n This role will partner closely with business stakeholders, engineering, and operations teams to modernize back-office platforms and improve operational efficiency. While familiarity with AI is a plus, the primary focus is on delivering business value through well-designed operational systems rather than building AI solutions.\n Key Responsibilities \n \n Own the product vision, roadmap, and prioritization for Operations \u0026 Controls platforms.\n Lead product discovery by understanding business problems, operational workflows, and stakeholder requirements.\n Partner with Back Office Operations, Controllers, Finance, and Technology teams to improve operational processes.\n Drive modernization initiatives in fund control accounting workflow automation, and operational reporting.\n Build and manage the product backlog, define user stories, and prioritize features based on business value.\n Coordinate delivery across engineering, architecture, and business stakeholders.\n Track milestones, dependencies, risks, and delivery progress.\n Promote transparency and effective stakeholder communication throughout the product lifecycle.\n Identify practical opportunities where AI and automation tools can improve productivity, decision-making, and operational efficiency.\n Ensure solutions meet governance, audit, and operational control requirements.\n \n Required Qualifications \n \n 5+ years of experience as a Product Owner, Product Manager, or Senior Business Analyst within Financial Services.\n Strong experience supporting Back Office Operations, Fund Controllers, and Finance Operations .\n Has fund accounting domain literacy , hands-on exposure to at least one fund accounting/admin platform, exception management\n Experience building or enhancing corporate back-office platforms and operational systems .\n Demonstrated experience translating fund control requirements — NAV integrity, cash/position break resolution, and controller sign-off workflows — into product specs and acceptance criteria that satisfy audit and governance standards.\n Excellent stakeholder management and cross-functional collaboration skills.\n Proven ability to manage product roadmaps, planning, prioritization, and execution.\n Strong analytical, communication, and problem-solving skills.\n Familiarity with AI tools (e.g., ChatGPT, Copilot, Gemini) and understanding of where AI can improve operational workflows. Hands-on AI solution development is not required. \n Ability to work effectively with engineering teams and understand modern software delivery practices.\n \n Preferred Qualifications \n \n Experience with platforms such as Geneva/SS\u0026C, Eagle, Advent, Paxus , or similar fund accounting and operations systems.\n Experience working with fund administrators or investment operations teams.\n Experience with Agile product delivery.\n Exposure to workflow automation, cloud platforms, or modern enterprise applications.\n \n Compensation Range:  $175,000 - $215,000 total cash   #LI-VC1 \n Values \n \n We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. \n We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection \n We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.\n \n Advantages of joining Turing \n \n Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. \n Contribute to leading-edge AI research and showcase your work at ","salary_min":175000,"salary_max":215000,"location":"New York, NY","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["code-generation","reinforcement-learning","healthcare","agents"],"apply_url":"https://job-boards.greenhouse.io/turing/jobs/6150811004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-25T20:29:31Z","expires_at":"2026-09-29T13:35:13.232941Z","created_at":"2026-08-26T13:35:15.599435Z","updated_at":"2026-08-30T13:35:13.370674Z","company_name":"Turing","company_slug":"turing","company_logo_url":"https://www.google.com/s2/favicons?domain=turing.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/c176fb2a-4dab-4c84-9b30-9565eee362ea"},{"id":"a583cfdf-e13d-431b-bedd-172ede971ced","company_id":"7455e78c-482b-4f7b-9d62-11b78645818a","title":"Software Engineer II - Dev Accelerator","slug":"software-engineer-ii-dev-accelerator-95beb30d","description":"About the Team\n Abnormal AI is looking for a Software Engineer II to join the Dev Accelerator Team. The Dev Accelerator team builds and operates our internal developer platform : the tools, libraries, and infrastructure that let 100+ engineers design, build, test, and ship products quickly and safely.\n Some of the pieces we’ve been working on recently\n \n Autonomous PR generators for rolling out migrations and linter rule enforcement\n Testing frameworks for enabling clear end to end test support with data generation and coverage tooling\n Optimizing CI execution speeds\n Developer CLI tooling: a “Prompt-to-Product” style CLI that scaffolds services end to end, environment and credentials tooling, and a broad set of internal developer scripts\n Large scale code migrations to improve the shape of the codebase for AI efficacy\n \n Our goal is to make the easy path the right path for product teams and AI agents building on the platform.\n What You’ll Do\n As a Software Engineer II, Dev Accelerator , you will:\n \n Develop and evolve the internal developer platforms that supports development across Abnormal\n Own high-leverage projects across CLI tooling, CI/CD, shared libraries, and test infrastructure .\n Work across Python, Go, Bazel, Kubernetes, AWS, and CI systems to make our Golden Path fast, reliable, and intuitive.\n Shape abstractions and workflows that are AI-native , consumable by both humans and AI agents.\n \n This is an individual-contributor role with ownership of multi-quarter initiatives. Success requires close collaboration with product engineering, Infrastructure, SRE, Security, and other partner teams.\n Must Haves\n \n 3+ years of experience as a software engineer or in a similar role\n Proficiency leveraging AI tools to accelerate engineering outcomes through discovery, design, implementation, and rollout of software systems.\n Experience or strong interest in using LLMs to improve developer workflows (e.g., failure summarization, smart code generation, AI-native CLIs).\n \n Nice to Have\n \n Familiarity with our stack: Python, Golang, Bazel, AWS, Kubernetes, Github Actions \n Built or maintained CLI tools, scaffolding systems, or internal frameworks used by other engineers.\n Experience with test data management, integration/E2E test infrastructure, or bad-test detection.\n Hands on experience in\n \n CLI development \n YAML/Jinja2-style templating.\n Modern type hints and typing discipline (e.g., typing, dataclasses / attrs, Pydantic-style patterns).\n Testing with standard frameworks like pytest/Ginkgo or similar.\n Shared library and service development (gRPC/HTTP).\n Authoring reusable workflows\n \n #LI-NT1\n Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location. In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.\n Base salary range:\n $149,200 — $214,500 USD \n A note on AI in our process:  Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore.They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards.\n Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here . If you would like more information on your EEO rights under the law, please  click here .","salary_min":149200,"salary_max":214500,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"mid","tags":["agents","api-design","llm","code-generation"],"apply_url":"https://abnormal.ai/careers/jobs/7967606003?gh_jid=7967606003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-25T18:54:00Z","expires_at":"2026-09-29T13:34:22.757389Z","created_at":"2026-08-25T19:20:23.101498Z","updated_at":"2026-08-30T13:34:22.893803Z","company_name":"Abnormal Security","company_slug":"abnormal-security","company_logo_url":"https://www.google.com/s2/favicons?domain=abnormalsecurity.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a583cfdf-e13d-431b-bedd-172ede971ced"},{"id":"e57da926-f55d-433d-a0d9-b05754c4298a","company_id":"92ecd7f4-44ad-4dc4-8fe8-0c4cab4fa5db","title":"Senior GRC Lead","slug":"senior-grc-lead-ddfbfa4a","description":"Jasper is the marketing agents platform, built to help enterprises orchestrate AI agents that execute marketing work at scale. Purpose-built for marketing teams, Jasper enables faster, more consistent execution across campaigns, personalization, localization, and compliance—while maintaining enterprise-grade control and governance.\n\nJasper is trusted by hundreds of enterprises worldwide, including Prudential, Cushman \u0026 Wakefield, and nearly 20% of the Fortune 500. Founded in 2021, Jasper has team members across the U.S., Australia, and France.\n\n\n\nAbout The Role\n\nAs a Senior GRC Lead at Jasper, you will own our Governance, Risk, and Compliance program end-to-end—building a program that scales with our AI-native products. You will step in to rebuild and maintain momentum on audits, risk management, and vendor security, partnering closely with Security, Legal, and Engineering to keep Jasper compliant and trustworthy as we grow.\n\n\n\nDay-to-day, you will work alongside the Security team, while collaborating cross-functionally with Legal, GTM, People, and Engineering to embed compliance requirements into how the company builds and operates. You will serve as the subject-matter expert on control mapping during customer and external audits, RFPs, and enterprise sales engagements—making trust a competitive advantage for Jasper.\n\n\n\nThis fully remote role reports to the Director, Security and is open to candidates located anywhere in the continental US.\n\n\n\nWhat you will do at Jasper\n\n - Own and drive Jasper’s compliance audits (SOC 2, ISO 27001, and similar frameworks) from readiness through certification, with a path toward ISO 42001.\n\n - Support GDPR and broader privacy compliance alongside the Legal team, without owning the legal interpretation of requirements.\n\n - Rationalize overlapping requirements across frameworks to reduce compliance burden and create a single source of truth for control ownership.\n\n - Serve as the subject-matter expert on control mapping during customer and external audits, RFPs, and enterprise sales engagements.\n\n - Respond to customer security questionnaires and support the sales and legal teams during due diligence.\n\n - Maintain and continuously improve the risk register, including risk identification, scoring, and remediation tracking.\n\n - Manage vendor and third-party risk assessments and the vendor security review process.\n\n - Own policy management—drafting, reviewing, and keeping security and compliance policies current.\n\n - Partner cross-functionally with Security, Legal, Product, Engineering, etc to embed compliance and governance requirements into how the company builds and operates.\n\n - Automate compliance workflows, including artifact collection for external audits, internal security compliance reviews, and continuous monitoring tasks.\n\n - Drive, improve, and help implement AI governance across the company and product\n\n\n\nWhat you will bring to Jasper\n\n - AI fluency — a working understanding of core AI concepts (LLMs, agents, copilots, tokens, credits, context windows, RAG, data governance, etc.), applied in the context of governance, risk, and compliance for AI-native products.\n\n - 8+ years of experience in Governance, Risk \u0026 Compliance, ideally at a SaaS company.\n\n - Deep expertise across multiple compliance and security frameworks, including SOC 2 Type II, ISO 27001, NIST CSF, and at least one regulatory framework (GDPR, CCPA, HIPAA, or equivalent).\n\n - Expertise in modern cloud-native web application development practices and related security best practices, especially in the context of GCP and frontier AI platforms.\n\n - Experience with GRC tooling (e.g., Vanta, Drata, OneTrust, or similar).\n\n - Experience managing a risk register and vendor risk program.\n\n - Strong cross-functional communication — comfortable working with Security, Legal, Product, and Engineering, and able to translate technical issues for non-technical teams.\n\n - Experience using AI agents, tools, and platforms to automate workflows and build tools, with sound judgment in applying AI responsibly to improve efficiency and impact.\n\n - Prior experience at a startup or fast-growing SaaS company.\n\n - CISA, CISSP, CRISC, or similar certification.\n\n - Experience scoping or pursuing ISO 42001 or other AI governance frameworks.\n\n - Hands-on experience using agentic coding tools (Cursor, Claude Code, Copilot, etc.) and a working knowledge of Python — you don’t need to be a software engineer, but you should be fluent enough to use AI platforms to modify and run scripts, build automations, and ship small tools end-to-end.\n\n\n\nCompensation Range\n\nAt Jasper, we believe in pay transparency and are committed to providing our employees and candidates with access to information about our compensation practices. The expected base salary range offered for this role is $174,250 - $205,000. Compensation may vary based on relevant experience, skills, competencies, and certifications.\n\n\n\n\nBENEFITS \u0026 PERKS\n\n - Compre","salary_min":174250,"salary_max":205000,"location":"United States","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"lead","tags":["llm","agents","cloud","code-generation"],"apply_url":"https://jobs.ashbyhq.com/Jasper%20AI/d86a7821-b768-4f11-b540-3ee0fbc94c96/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-25T18:34:19.77Z","expires_at":"2026-09-29T13:33:33.282411Z","created_at":"2026-08-25T19:19:36.542473Z","updated_at":"2026-08-30T13:33:33.419323Z","company_name":"Jasper AI","company_slug":"jasper-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=jasper.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/e57da926-f55d-433d-a0d9-b05754c4298a"},{"id":"b7db0ba9-f47b-4461-8b6d-ebcaa8d742e0","company_id":"10c1ac82-83d5-423a-b438-4cc7b13d597c","title":"Deployed Engineer (Federal)","slug":"deployed-engineer-federal-1acbf162","description":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT US\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nToday, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\n\n\n\nABOUT THE TEAM\n\nThe LangChain Deployed Engineering - Federal team works directly with U.S. Government customers — including the Department of Defense (DoD), Civilian Agencies, and the Intelligence Community (IC) — who are building and operating AI agents in mission-critical environments.\n\nThis is a hands-on, highly technical team that partners closely with government engineers, technical program managers, and system integrators across the full lifecycle — from pre-award technical shaping and evaluations to post-deployment advisory work in secure environments. The focus is on achieving the technical win, architecting secure and compliant agent systems, and enabling agencies to operate AI agents reliably at scale using the LangChain suite.\n\nDeployed Engineers sit at the intersection of engineering, product, security, and go-to-market. You will shape how LangChain is adopted across classified and unclassified environments, ensuring alignment with federal compliance requirements while feeding mission-driven insights back into the platform.\n\n\n\n\nABOUT THE ROLE\n\nAs a Deployed Engineer, you’ll work on some of the hardest problems in applied AI — not demos or experimental research, but production systems supporting real-world missions.\n\nYou’ll help defense, civilian, and intelligence customers design, deploy, and operate AI agents in secure, regulated, and high-stakes environments. The feedback loop is fast, the mission impact is tangible, and your work directly influences how AI agents are deployed across the federal landscape.\n\nYou will operate in environments that demand security, reliability, compliance (FedRAMP, IL levels, etc.), and operational rigor.\n\n\n\n\nWHAT YOU’LL DO\n\n - Co-architect and co-build production AI agents with federal engineering teams and system integrators\n\n - Own the technical win in federal pre-sales engagements by designing secure POCs, supporting RFI/RFP technical responses, and guiding technical evaluations\n\n - Design architectures that meet federal security and compliance requirements (FedRAMP, DoD IL2–IL6, NIST, etc.)\n\n - Help agencies deploy and operate agent-based applications such as mission support copilots, intelligence analysis agents, research automation systems, and multi-step operational workflows\n\n - Advise customers post-award on architecture, scalability, observability, evaluation, and long-term roadmap decisions\n\n - Deliver technical demos, workshops, and enablement sessions tailored to government developer and operator audiences\n\n - Partner with security teams to navigate ATO proc","salary_min":150000,"salary_max":250000,"location":"Washington, DC","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"senior","tags":["llm","agents","cloud","code-generation"],"apply_url":"https://jobs.ashbyhq.com/langchain/6eecbcda-d94f-4700-b8c7-ce54cb212290/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-24T17:25:07.499Z","expires_at":"2026-09-29T13:32:16.337075Z","created_at":"2026-08-25T18:26:42.764004Z","updated_at":"2026-08-30T13:32:16.478616Z","company_name":"LangChain","company_slug":"langchain","company_logo_url":"https://www.google.com/s2/favicons?domain=langchain.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/b7db0ba9-f47b-4461-8b6d-ebcaa8d742e0"},{"id":"0dad12d0-3282-4119-8593-12fef77bf79e","company_id":"b4787255-dacd-444b-8e44-bb9971ec1f36","title":"Principal Software Engineer - PA172","slug":"principal-software-engineer-pa172-a0f1fa6e","description":"ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast.\n \n As a  Principal Engineer on our Advertising, Company Intelligence, and Intent team, you’ll help design and implement the core systems that power our real-time marketing platform. From high-throughput ad infrastructure to large-scale identity resolution and intelligent systems enhanced by LLMs, push the boundaries of scale, intelligence, and speed—and deliver real-world business impact.\n You’ll be joining a team with a broad range of ambitious, technically deep projects—from APIs that process tens of billions of events per day, to new buyer intent algorithms powered by LLMs, to a unified B2B identity graph. Depending on your strengths and interests, you’ll be matched to the initiatives where you can have the greatest impact.\n This is a high-growth, high-ownership environment operating at the edge of what’s possible in modern software engineering, data infrastructure, and applied AI.\n What You’ll Do\n \n Design and build distributed systems that process, enrich, and respond to billions of behavioral events per day in real time\n Develop high-performance APIs and services that support advertising, identity, and intent features across the Marketing Platform\n Leverage machine learning and large language models (LLMs) to analyze behavioral data, classify content, extract signals, and enable intelligent decision-making\n Build intelligent agents using frameworks like LangGraph or MCP to reason over data and power user-facing insights\n Design and operate data pipelines using tools like Kafka, Kinesis, and ClickHouse to support both streaming and batch workloads\n Drive quality, performance, scalability, and observability across all systems you own\n Collaborate cross-functionally with product managers, data scientists, and engineers to deliver customer-facing features and internal tooling\n Contribute to technical leadership and mentorship of teammates\n \n What We’re Looking For\n \n 8+ years of backend, data, or infrastructure engineering experience, or equivalent impact and leadership. \n Strong experience in at least one of the following:\n \n Distributed systems engineering (e.g., building low latency high and throughput APIs, scalable microservices, event processing pipelines)\n Big data infrastructure (e.g., streaming, warehousing, low-latency storage at scale)\n Applied AI/ML , including use of LLMs for extraction, classification, or reasoning tasks \n \n Proficiency in one or more core languages: Java, Go, Python \n Solid grasp of SQL and large-scale data modeling\n Familiarity with databases and tools such as: ClickHouse, DynamoDB, Bigtable, Memcached, Kafka, Kinesis, Firehose, Airflow, Snowflake \n \n AI-Native Development Mindset\n \n Comfortable using LLMs as part of your development workflow—whether via tools like Copilot, Cursor, ChatGPT, Claude, or others—to boost productivity, explore architecture ideas, and rapidly prototype. \n Skilled at designing and implementing LLM-powered systems such as RAG pipelines, agent frameworks (e.g., LangGraph), or intelligent workflows that reason across large datasets in real time.\n \n Bonus Points\n \n Experience in ad tech, real-time bidding (RTB), or programmatic systems\n Background in identity resolution, attribution, or behavioral analytics at scale\n Contributions to open source in ML, infrastructure, or data tooling\n Strong product instincts and a passion for building tools that drive meaningful outcomes\n \n  \n #LI-SK1\n #LI-Remote\n \n Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive.\n In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here .\n Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply.\n $163,800 — $257,400 USD \n About us:  \n ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.\n ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information.\n ZoomInfo may use a software","salary_min":163800,"salary_max":257400,"location":"Bethesda, MD","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["distributed-systems","llm","rag","code-generation","agents","data-pipeline","microservices"],"apply_url":"https://www.zoominfo.com/careers?gh_jid=8661955002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-24T15:33:05Z","expires_at":"2026-09-29T13:49:07.59184Z","created_at":"2026-08-25T18:33:34.926533Z","updated_at":"2026-08-30T13:49:07.728081Z","company_name":"ZoomInfo","company_slug":"zoominfo","company_logo_url":"https://www.google.com/s2/favicons?domain=zoominfo.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/0dad12d0-3282-4119-8593-12fef77bf79e"},{"id":"771673d3-394b-4031-aa34-bedc52141830","company_id":"a4de8095-cb98-4b8b-9bfc-c2d248f257ea","title":"Senior Staff Security Engineer, AI Security ","slug":"senior-staff-security-engineer-ai-security-8578e51d","description":"At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs.  \n If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. \n \n THE WORK: \n As a Senior Staff Security Engineer focused on AI Security, you will be Ripple's deepest technical expert at the intersection of artificial intelligence and security. This is a purpose-built, high-impact individual contributor role that spans two critical mandates: securing AI systems that Ripple builds and operates, and harnessing AI to make Ripple's security function faster, smarter, and more scalable.\n You will lead the technical strategy for AI security across the agentic SDLC, define and operationalize guardrails for LLM and agentic AI adoption, and build AI-powered security tooling in close partnership with the broader organization to embed AI security into how Ripple operates every day. You will also shape Ripple's external posture on AI security, contributing to industry standards, regulatory discussions, and Ripple's published security practices.\n WHAT YOU’LL DO: \n \n Drive the AI Security technical strategy and roadmap, defining how Ripple secures its AI systems, governs agentic workflows, and embeds security controls into the AI development lifecycle from day one.\n Design and implement security controls for LLM-integrated and agentic AI systems, including sandboxing, identity and permission scoping, runtime monitoring, and containment of autonomous agent actions that exceed authorized scope.\n Own AI security across the Controlled Agentic SDLC, establishing security guardrails, AI provenance standards, dual-review requirements, and audit trail controls for AI-assisted development across Ripple Engineering.\n Lead the security review and risk assessment of all AI integrations entering production, including LLM APIs, SaaS copilots, AI code editors, agentic workflows, third-party MCP servers, and vendor-embedded AI.\n Build and scale Ripple's Shadow AI detection capability, surfacing unsanctioned AI usage, driving adoption of the AI acceptable use policy, and ensuring all AI workflows operate within Ripple's auditable perimeter.\n Serve as Ripple's go-to technical resource on agentic AI risks, including MCP server security, tool poisoning, prompt injection at the orchestration layer, and excessive agency in multi-agent systems, translating emerging threats into concrete mitigations with Engineering and Product.\n Shape Ripple's external AI security posture, contributing to industry frameworks, engaging regulators, and publishing research that establishes Ripple as a credible voice in responsible AI security. \n \n \n WHAT YOU'LL BRING:  \n \n \n 10+ years of Security Engineering experience with demonstrated depth in at least two domains, such as Product Security, Cloud Security, or Security Operations, and meaningful hands-on exposure to AI or ML security in practice.\n Solid understanding of AI and LLM security concepts, including prompt injection, jailbreaks, data poisoning, model extraction, RAG manipulation, and agentic risks such as tool poisoning, excessive agency, and MCP server vulnerabilities.\n Experience securing agentic AI systems, including sandboxing, permission scoping, human-in-the-loop design, or runtime monitoring for autonomous workflows.\n Fluency with core Security Engineering domains including cloud security on AWS, GCP, or Azure, CI/CD pipeline security, container and Kubernetes security, IAM, and API security, with the ability to reason about how these apply in AI-specific contexts.\n Strong threat modeling instincts, whether using STRIDE, MITRE ATLAS, OWASP LLM Top 10, or your own approach, and comfort applying frameworks to architectures where the playbook remains in development.\n Experience in FinTech, crypto, or other highly regulated environments is a strong plus, ideally with exposure to frameworks like NYDFS, MAS, DORA, or SOC 2 as they relate to AI adoption.\n Proven ability to work across teams, influence technical direction without direct authority, and bring structure to problems that span Engineering, Product, and Security.\n A genuine builder's mentality. You are energized by problems without established playbooks, comfortable building in ambiguity, and motivated by raising the bar in an area that is still being defined.\n \n Other common names for this role: AI Security Architect, LLM Security Engineer, Agentic AI Security Lead \n For positions that will be based in NY, the annual salary range for this position is below. Actual salaries may vary based","salary_min":224000,"salary_max":300000,"location":"New York, NY","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["llm","healthcare","rag","payments","security","code-generation","agents"],"apply_url":"https://ripple.com/careers/all-jobs/job/7961914?gh_jid=7961914","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-21T16:13:14Z","expires_at":"2026-09-29T13:42:45.165144Z","created_at":"2026-08-25T18:30:56.928499Z","updated_at":"2026-08-30T13:42:45.302619Z","company_name":"Ripple","company_slug":"ripple","company_logo_url":"https://www.google.com/s2/favicons?domain=ripple.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/771673d3-394b-4031-aa34-bedc52141830"},{"id":"d1f24fe4-adab-4b1a-9343-602f61f18ad7","company_id":"7455e78c-482b-4f7b-9d62-11b78645818a","title":"Senior Cloud Security Engineer","slug":"senior-cloud-security-engineer-8486bc04","description":"About the Role\n Abnormal AI is looking for a Senior Cloud Security Engineer to help build the next generation of security capabilities at scale. This is a senior IC-level role that blends deep security expertise with the judgment to direct AI tools effectively — you'll increasingly rely on AI to scaffold Terraform modules, prototype detection logic, and draft integrations, while you own the architecture decisions, validate what ships, and catch the failure modes AI won't flag on its own (overprivileged roles, missed edge cases, subtle logic gaps).\n As a technical lead, you will own the architecture and correctness of systems that enhance both preventative guardrails and detective capabilities across our primarily AWS-based cloud environment, partnering closely with both platform engineering and product teams on security architecture reviews. You'll raise the AI leverage of the engineers around you — not by teaching scripting basics, but by turning your review judgment into reusable standards the team can build on directly. You'll act as a technical liaison across teams and contribute directly to keeping our platforms and customers secure.\n This role is for engineers who are intellectually curious and motivated to bridge security principles, engineering execution, and AI-accelerated delivery.\n Who you are\n \n An intellectually curious, solution-focused engineer with a security mindset who thrives in fast-paced environments\n A technical leader who can architect scalable security solutions while maintaining engineering velocity — increasingly by directing AI to do the first draft and applying judgment to the result\n Someone who thinks like an attacker but builds like a defender, and who treats AI-generated infrastructure and detection logic with the same scrutiny as a junior engineer's first PR\n Someone with high agency who proactively spots what in their own workflow (and the team's) AI can absorb, and actually builds the automation to make that real — not someone waiting to be told\n A collaborative engineer who can translate security requirements into actionable engineering tasks\n A mentor who scales their judgment across the team — reviewing AI-generated code and infra for security gaps, and encoding what they learn into reusable playbooks and standards rather than repeating the same feedback one engineer at a time\n \n What you will do\n \n Lead threat modeling and security design discussions with both platform and product teams, translating risks into engineering actions and using AI to rapidly stress-test designs against attack scenarios before committing engineering time to a direction\n Partner with product engineering to review the security architecture of new product features — assessing designs for data exposure, access control, and abuse-case risk before they ship — using AI to speed up first-pass analysis so your review time goes toward the highest-risk decisions\n Collaborate with Platform, Infra, and DevOps teams to build scalable preventative controls in AWS via Infrastructure-as-Code — using AI coding agents to scaffold and iterate on Terraform/CloudFormation modules, reserving your own time for least-privilege review, blast-radius analysis, and edge cases\n Evaluate and uplift security tooling across commercial, cloud-native, and AI-assisted capabilities, focusing on scale, efficiency, and precision\n Mentor engineers on how to get real leverage from AI — reviewing AI-generated code and infrastructure together, and turning recurring feedback into standards and reusable playbooks instead of repeating it review after review\n Use AI to rapidly prototype automation for signal correlation, alert enrichment, and auto-remediation of known failure patterns, then harden and productionize what proves out rather than hand-building every workflow from a blank file\n Architect, build, and validate integrations between AWS and other cloud-native infrastructure and security tooling (e.g., SIEM, SOAR, IAM tooling), with a growing share of first-draft code AI-generated and human-owned\n Serve as a hands-on technical contributor during security incidents, using AI to accelerate log and telemetry triage while owning the judgment calls that determine root cause and response\n Build and maintain reusable AI-assisted playbooks (for IaC security review, detection authoring, alert triage) that scale your judgment across the security and platform teams\n \n Must Haves\n \n Proven delivery in security engineering or infrastructure security roles, ideally in cloud-native environments\n Deep comprehension of native AWS architecture services and identity/access patterns — IAM, STS, cross-account roles and resource policies, VPC and network segmentation, KMS — with AWS as our primary cloud platform, plus working knowledge of Azure and GCP\n Strong scripting and dev fundamentals in Python and/or Go — enough to read, critique, and confidently modify AI-generated code, not just prompt for it; proficiency with Git, Linu","salary_min":153000,"salary_max":220000,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["code-generation","agents","security","cloud"],"apply_url":"https://abnormal.ai/careers/jobs/7896108003?gh_jid=7896108003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-20T17:01:15Z","expires_at":"2026-09-29T13:34:21.829613Z","created_at":"2026-08-25T18:27:11.58209Z","updated_at":"2026-08-30T13:34:21.965895Z","company_name":"Abnormal Security","company_slug":"abnormal-security","company_logo_url":"https://www.google.com/s2/favicons?domain=abnormalsecurity.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/d1f24fe4-adab-4b1a-9343-602f61f18ad7"},{"id":"88c598ce-9fe7-4103-ba06-6a02f5b5f2f2","company_id":"92df3417-f362-4f1a-9406-e34d8013b283","title":"Senior ML/AI Modeler, Risk Automation Machine Learning","slug":"senior-mlai-modeler-risk-automation-machine-learning-d62ab6c1","description":"Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.\n The Role \n The Risk Automation ML team automates Risk and Compliance investigations and decision making at Block through the application of agentic and generative AI technology. We work globally with partners in Product, Engineering and Operations to ensure that we are providing a safe user experience for our customers while minimizing or eliminating bad activity on our platform.\n We are leveraging agentic and generative AI as an integral part of our toolkit to fulfill our mission. Block's machine learning systems monitor billions of payment transactions across traditional payment and blockchain networks and surface suspicious activity (fraudulent, suspicious, illegal activity and brand violations) for trained Operations analyst review and decisioning. We are leveraging generative AI to accelerate historically manually intensive analyst workflows; by adding features in the investigative UX to accelerate agent productivity and enable them to make faster, more informed and accurate decisions (aka Copilots). We also automate workflows end to end completely eliminating the need for manual reviews (aka Autopilots).\n This is a new and significant opportunity to rethink and optimize Risk Operations at Block at scale. This is an IC role, but the senior level has significant leadership responsibilities that include owning, and driving strategic roadmaps \u0026 priorities to completion by collaborating with relevant cross functional stakeholders.\n (Work from anywhere: This role can be performed from any location in the United States and Canada)\n You Will \n \n Experiment and deploy AI copilot and autopilot systems at scale to improve analyst productivity and/or eliminate manual decision loops altogether.\n Own the end to end system including API calls to disparate data sources, advanced prompt tuning, orchestration, metrics and evaluation, productionization and monitoring.\n Leverage diverse data sets that include payment transactions, connected users and asset graphs, unstructured text data and user profile information to build transformer based ML models to improve downstream detection tasks.\n Work cross functionally with product, platform, engineering and operational stakeholders to deploy production grade systems and monitor and tune ongoing performance.\n Use Python ML stack, LLMs, Pytorch, Snowflake, Airflow based tools, data platform and cloud services (both GCP \u0026 AWS) to get the job done.\n Leverage agentic tools (Claude Code/Codex/Openclaw) to supercharge your research, development, devOps and documentation work as part of your day to day.\n \n You Have \n \n 8+ years of Machine Learning modeling experience. Full stack ML experience is strongly preferred.\n A Masters or advanced degree in computer science, data science, operations research, applied math, stats, physics, or a related technical field.\n 3+ yrs experience with AI engineering, Large language models, and a background in traditional NLP techniques is a strong plus for this role.\n End to end experience of building and deploying ML/AI to production systems (batch and real time) that are performant at scale.\n Experience of independently owning, influencing and driving programs with multiple cross functional stakeholders that have significant business impact.\n Have a curious, growth-oriented mindset and the ability to think in first principles to identify creative solutions that demonstrate value.\n \n  \n We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and \"fair chance\" ordinances.\n We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we're doing to build a workplace that is fair and square? Check out our I+D page .\n While there is no specific deadli","salary_min":194500,"salary_max":291700,"location":"San Francisco, CA","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["cloud","payments","llm","agents","generative-ai","nlp","pytorch","code-generation"],"apply_url":"http://block.xyz/careers/jobs/5394441008?gh_jid=5394441008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-19T18:24:19Z","expires_at":"2026-09-29T13:39:46.526987Z","created_at":"2026-08-25T18:29:18.489401Z","updated_at":"2026-08-30T13:39:46.664819Z","company_name":"Block","company_slug":"block","company_logo_url":"https://www.google.com/s2/favicons?domain=block.xyz\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/88c598ce-9fe7-4103-ba06-6a02f5b5f2f2"},{"id":"43981d60-042d-4f1c-983b-58fc257fe83c","company_id":"b467c425-56b3-40ce-826a-e603e82a08bd","title":"Senior Director of Engineering, Generative AI ","slug":"senior-director-of-engineering-generative-ai-1c8821c2","description":"Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.  \n At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.  \n A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. \n Senior Director, Generative AI \n About the Role \n Roblox Build is our generative creation product, the platform where creators design, build, and publish 3D experiences. We are looking for a Senior Director of Generative AI to lead the Applied AI organization inside Build, responsible for turning state-of-the-art foundation models into high-quality, reliable creation systems at Roblox scale. This leader will own the full applied AI stack: model strategy and routing, model adaptation and fine-tuning, code generation (CodeGen), 3D layout generation (LayoutGen), and the evaluation science and infrastructure that tells us what actually works. \n You Will \n \n Own model strategy and routing for Build. Design and build an intelligent model layer that selects the right model for each creation task based on quality, capability, latency, cost, and safety, leveraging both frontier models and Roblox-adapted open-source models.\n Lead model adaptation across the Applied AI org, including fine-tuning, distillation, synthetic data generation, human feedback pipelines, and preference optimization for Roblox-specific creation tasks such as Luau code generation and 3D scene understanding.\n Drive CodeGen capabilities forward by building AI systems that understand creator intent, reason across multi-file Roblox experiences, execute tools, and reliably make complex changes to existing games, going well beyond code completion.\n Build LayoutGen intelligence by developing the AI capability that turns a creator's intent into coherent 3D scenes, including object selection, spatial reasoning, placement, aesthetic quality, and iterative editing.\n Own evaluation as a core technical discipline. Build the benchmarks, quality metrics, judge methodologies, experiment infrastructure, and human evaluation pipelines that answer whether model, prompt, or routing changes actually improve creator outcomes.\n Close the feedback loop between model development, evaluation, and production, ensuring that quality signal flows continuously from creator outcomes back into training data, model updates, and release decisions, rather than operating as separate silos.\n \n You Have \n \n 10+ years of experience in machine learning and AI, with 5+ years in senior technical leadership roles overseeing applied AI or ML engineering organizations that have shipped generative AI systems into production at scale.\n Deep technical grounding across multiple areas of applied AI, including LLM post-training (RLHF, DPO, distillation), model routing and adaptation, agentic systems, code generation, or evaluation science, with enough depth to recruit, challenge, and lead exceptional scientists and engineers in each area.\n Demonstrated experience building and leading high-performing organizations that span both AI research scientists and production engineers, including hiring, developing talent, and making difficult personnel decisions.\n Strong evaluation fluency, with a track record of building eval frameworks that predict production outcomes, designing benchmarks that measure what matters, and building the infrastructure to run experiments continuously at model, prompt, and routing level.\n Experience operating cross-functionally in complex technical organizations, with the ability to influence and align across research, product engineering, and platform teams without relying on hierarchy.\n Genuine interest in the creation problem. You find the specific challenge of AI-assisted 3D world creation and domain-specific code generation compelling, not just as a vehicle for building AI systems.\n \n You Are \n \n A builder and a shipper who cares about getting things into production and measuring whether they actually work, not just publishing promising results.\n Technically credible across the stack. You can engage deeply with scientists on evaluation methodology, data quality, and model behavior, and equally deeply with engineers on architecture, inference latency, and reliability.\n Decisive under ambiguity. You make principled tradeoffs between rigor and velocity, know when good enough is good enough, and can articulate your reasoning clearly.\n Direct and honest. You give clear feedback, surface problem","salary_min":525510,"salary_max":573690,"location":"San Mateo, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["reinforcement-learning","generative-ai","fine-tuning","code-generation","llm","agents"],"apply_url":"https://careers.roblox.com/jobs/8131695?gh_jid=8131695","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-18T20:23:10Z","expires_at":"2026-09-29T13:47:49.503186Z","created_at":"2026-08-25T18:33:06.097534Z","updated_at":"2026-08-30T13:47:49.630588Z","company_name":"Roblox","company_slug":"roblox","company_logo_url":"https://www.google.com/s2/favicons?domain=roblox.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/43981d60-042d-4f1c-983b-58fc257fe83c"},{"id":"b12494b6-b28e-4633-b8c1-467a5a2945dc","company_id":"e455f75a-a424-4955-9844-afebe8ea6eb4","title":"Software Engineer II, Frontend Agentic AI ","slug":"software-engineer-ii-frontend-agentic-ai-1d46eb29","description":"Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.\n The Software Engineer II Opportunity \n We are looking for a software engineer to build the interfaces people use to work with autonomous AI workers. This is not a dashboard job. Our users chat with agents that run for hours, steer them mid-task, inspect what an agent remembers, approve or reject its actions, and watch it work in real time. \n You will own those surfaces: the chat experience, the memory and context views, the live run timeline, and the approval flows that keep a human in charge. You will define what agentic interfaces look like—because most of the patterns you will ship do not exist yet. This is a senior individual contributor role requiring a minimum of 5 years of relevant experience.\n About You \n \n Proven Product Builder: You have built and shipped products that users love and have seen the direct impact of your work at scale.\n End-to-End Ownership : You take pride in owning projects from initial concept to launch and are comfortable wearing multiple hats to get the job done.\n AI \u0026 Tech Innovator: You stay ahead of the curve, eager to explore and implement the latest technologies, particularly in AI and LLM front-end paradigms.\n Collaborative Partner : You thrive in a high-bandwidth team environment and work effortlessly with both technical and non-technical partners. \n Driven \u0026 Ambitious : You have a hunger for success and want to build at a fast-growing company with big goals.\n \n What you’ll be doing  \n \n Build the conversational interface for long-horizon agents: streaming responses, tool calls shown as they happen, pause and interrupt controls, and mid-task steering.\n Design and ship memory management interfaces that let users see what an agent knows, edit or delete memories, and understand what context the agent is using and why.\n Build live agent run views: plans, steps, artifacts, retries, and results, rendered in real time over WebSockets or server-sent events.\n Build human-in-the-loop approval surfaces for agent actions that write to external systems, with clear diffs of what the agent is about to do.\n Build the Worker Builder interface where users design and configure their own digital workers in natural language.\n Manage complex client state for long-running agent sessions: reconnection, optimistic updates, partial results, and failure recovery.\n Create a reusable component library for agentic patterns so every new worker ships with a consistent, polished interface.\n Handle model output honestly in the UI: citations, uncertainty, errors, and empty states that tell the user the truth.\n Work daily with backend and agent engineers to shape the APIs and event streams the interfaces consume.\n Optimize for performance across devices and keep the experience fast while an agent streams thousands of events.\n \n What you’ll bring to the role \n \n 3+ years of front-end engineering experience with deep expertise in React, TypeScript, and modern state management (hooks, context, state machines).\n Experience building chat, copilot, or other LLM-powered interfaces in production.\n Hands-on experience with real-time UIs: WebSockets, server-sent events, streaming rendering, and reconnection handling.\n Strong product sense and the ability to design interaction patterns where no standard exists yet.\n Experience integrating front ends with LLM APIs and handling streamed, partial, and structured model outputs.\n Experience translating designs into fast, polished, responsive production code.\n Strong communication skills and comfort working directly with users to refine the experience.\n \n And extra credit if you have experience in any of the following!  \n \n You have shipped a chat or agent product used by thousands of users.\n Familiarity with agent frameworks (LangChain, LangGraph, or equivalent) and AI front-end SDKs such as the Vercel AI SDK.\n Experience with design systems, accessibility standards, and component library ownership.\n Experience visualizing complex processes: timelines, graphs, or workflow builders.\n Prior experience at a high-growth venture-backed AI or SaaS startup.\n \n (P25691) \n #LI-Inperson\n #LI-BB!\n Below is the annual base salary range for candidates located in San Francisco Bay Area. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave","salary_min":140000,"salary_max":192000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","computer-graphics","code-generation","llm","frontend"],"apply_url":"https://www.okta.com/company/careers/opportunity/8139374?gh_jid=8139374","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-18T17:28:20Z","expires_at":"2026-09-29T13:39:36.827383Z","created_at":"2026-08-25T18:29:14.46757Z","updated_at":"2026-08-30T13:39:36.96009Z","company_name":"Okta","company_slug":"okta","company_logo_url":"https://www.google.com/s2/favicons?domain=okta.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/b12494b6-b28e-4633-b8c1-467a5a2945dc"},{"id":"57c30d64-32a3-4211-a0d0-95e08d5eb936","company_id":"92ecd7f4-44ad-4dc4-8fe8-0c4cab4fa5db","title":"Staff Software Engineer, IQ","slug":"staff-software-engineer-iq-25af0f28","description":"Jasper is the marketing agents platform, built to help enterprises orchestrate AI agents that execute marketing work at scale. Purpose-built for marketing teams, Jasper enables faster, more consistent execution across campaigns, personalization, localization, and compliance—while maintaining enterprise-grade control and governance.\n\nJasper is trusted by hundreds of enterprises worldwide, including Prudential, Cushman \u0026 Wakefield, and nearly 20% of the Fortune 500. Founded in 2021, Jasper has team members across the U.S., Australia, and France.\n\n\n\nAbout The Role\n\nAs a Staff Software Engineer at Jasper, you will drive the technical vision and architecture for the integration pod within our IQ team. Integrations are how Jasper securely accesses and activates data from external systems — like Salesforce and HubSpot — and that data powers our IQ layer, which is critical to the quality and consistency of the output that sits on top of our LLM experiences. In short, the systems you architect directly shape how good, how trustworthy, and how differentiated Jasper's AI output is for our customers.\n\n\n\nThis is a high-leverage role. You'll set the technical direction for how we ingest and model external data, navigate the real-world constraints of connecting to many disparate systems (API limits, security and compliance concerns, customer-specific requirements), and define the context primitives in the IQ layer that depend on that data. Beyond your own initiatives, you'll set the bar for engineering excellence on the team, help chart the right sequence of projects and architectural goals, and contribute to the broader org-level technical vision.\n\n\n\nThis is a fully remote role and is open to candidates located anywhere in the continental US.\n\n\n\nWhat you will do at Jasper\n\n - Own the technical vision and architecture for the integration pod, defining how Jasper connects to and ingests data from external systems such as Salesforce and HubSpot\n\n - Architect data ingestion and integration systems that account for the differing constraints of each external system — including API rate limits, authentication, and security concerns\n\n - Design and evolve the context primitives in the IQ layer that depend on external data, and scope the additional engineering work needed to support them\n\n - Partner across the team to address customer-specific integration and design concerns, translating unique requirements into scalable, maintainable solutions\n\n - Proactively understand the business needs of the team, produce a concrete plan of action, and drive it to completion — setting an example for how staff-level work gets done\n\n - Help the team navigate the right set of next projects and architectural goals, and contribute to the org-level technical vision as needed\n\n - Research and propose concrete plans for architectural improvements and upgrades, weighing trade-offs and building alignment across stakeholders\n\n\n\nWhat you will bring to Jasper\n\n - 8+ years of software engineering experience, with a track record of operating at a staff/principal level of scope and influence\n\n - Demonstrated experience leading major technical initiatives to the finish line — and having stayed long enough afterward to understand and articulate their real-world consequences and trade-offs\n\n - Deep expertise in designing and building integration and data-ingestion systems that connect to multiple external systems with differing constraints (API limits, authentication, security, and compliance)\n\n - Strong distributed systems fundamentals and the ability to architect for reliability, scalability, and maintainability\n\n - AI fluency — a working understanding of core AI concepts (LLMs, agents, copilots, tokens, credits, context windows, RAG, data governance, etc.), applied in the context of building and architecting AI-powered engineering systems\n\n - A proactive, ownership-driven mindset: you identify what the business needs, produce a concrete plan, and execute — while raising the bar for those around you\n\n - Excellent technical judgment and communication skills, with the ability to align teams and stakeholders around architectural direction\n\n - Familiarity with the systems and tools that marketers rely on (e.g., CRMs and marketing platforms like Salesforce and HubSpot) — though this can also be learned on the job\n\n - Experience building the data foundations that power LLM-based or AI-driven product experiences\n\n\n\nCompensation Range\n\nAt Jasper, we believe in pay transparency and are committed to providing our employees and candidates with access to information about our compensation practices. The expected base salary range offered for this role is $221,000 - $260,000. Compensation may vary based on relevant experience, skills, competencies, and certifications.\n\n\n\n\n\n\nBENEFITS \u0026 PERKS\n\n - Comprehensive Health, Dental, and Vision coverage beginning on the first day for employees and their families\n\n - 401(k) program with up to 2% company matching\n\n ","salary_min":221000,"salary_max":260000,"location":"United States","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"lead","tags":["distributed-systems","llm","code-generation","agents"],"apply_url":"https://jobs.ashbyhq.com/Jasper%20AI/cf36519d-76b9-4c3a-b629-fd414016c048/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-17T18:28:07.257Z","expires_at":"2026-09-29T13:33:33.563646Z","created_at":"2026-08-25T18:26:58.214376Z","updated_at":"2026-08-30T13:33:33.700196Z","company_name":"Jasper AI","company_slug":"jasper-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=jasper.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/57c30d64-32a3-4211-a0d0-95e08d5eb936"},{"id":"eb379aeb-9783-48a3-999c-20f34bd26378","company_id":"3710cf92-3533-4d44-8ae4-7a21c79c5fb6","title":"Senior IT DataOps Business Intelligence Engineer","slug":"senior-it-dataops-business-intelligence-engineer-58cddd02","description":"Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io.\n At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career.\n As an IT DataOps  Data Engineer, you will help the DataOps team build the data transport, collection, and storage, and expose services that make data accessible to all of Gong’s business data platforms. We are seeking a Data Engineer to develop a scalable data platform. You'll own our core business data pipeline that powers Gong’s top-line metrics. You will also use data expertise to help evolve data models in several components of the data stack. You will help architect, build, and launch scalable data pipelines to support Gong’s growing data processing and analytics needs. Your efforts will allow access to business and user behavior insights, using Gong’s data to fuel several teams across the organization. A major focus of this role will be administering our Tableau environments (Server \u0026 Cloud), developing and administration of internal operational tools via Retool, and driving our Reverse ETL (RETL) strategy. Additionally, you will play a key role in operationalizing AI-driven insights—building pipelines that deliver predictive metrics and LLM-generated data points directly into our core business applications. \n ROLE SUMMARY  \n We are looking for an IT DataOps Business Intelligence Engineer to join our IT Infrastructure team. This role will focus on building, optimizing, and maintaining our data infrastructure to support business analytics, data integration, and automation efforts. You will work with a modern stack—including GCP, AWS, Snowflake, Jenkins, dbt, Retool, Census, Tableau, and Workato—to ensure data flows efficiently and securely across the organization. You are a strong self-starter with the ability to navigate ambiguous, fast-paced work environments while managing stakeholder relationships.\n KEY RESPONSIBILITIES\n BI Engineering \u0026 Integration:\n \n Reverse ETL (RETL) \u0026 Data Activation: Design, develop, and own scalable RETL pipelines using Census, Workato, dbt, and Snowflake.\n Operational Integration: Map transformed data models into destination SaaS applications (e.g., Salesforce, Zendesk), managing API rate limits, webhook handling, data sync observability, and error resolution.\n Integrate data across multiple sources (cloud and on-prem) using a variety of approaches (such as IPaaS or API-based extraction).\n Tableau Administration \u0026 Architecture: Manage, optimize, and scale Tableau Server and Tableau Cloud environments. Handle user provisioning, security/permissions, site administration, extract scheduling, and performance tuning.\n Retool Application Development: Partner with business teams to architect, build, and maintain custom internal applications in Retool. Integrate Retool with Snowflake, REST APIs, and third-party systems to create actionable user interfaces.\n Platform Governance: Establish best practices for dashboard deployment, Retool app lifecycle management, and BI environment stability.\n AI Tooling Integration: Integrate Generative AI APIs (e.g., OpenAI, Anthropic, Vertex AI) or Retool's native AI components into internal applications to automate workflows, summarize data, or create smart conversational interfaces for business users.\n Modern BI \u0026 AI Features: Pilot and implement emerging AI features within our BI stack, to enhance self-service analytics.\n \n DataOps \u0026 Infrastructure:\n \n Automate and optimize data workflows, deployment, and monitoring for reliability and performance.\n Implement CI/CD pipelines for data infrastructure and analytics solutions.\n Collaborate with IT and DevOps to maintain secure and scalable AWS-based infrastructure for data workloads.\n \n Governance \u0026 Security:\n \n Promote data quality, lineage, and governance best practices directly and through working with other teams. \n Work with IT and ProdSec security teams to enforce access controls and compliance requirements.\n Monitor and troubleshoot data infrastructure and","salary_min":143000,"salary_max":185000,"location":"New York, NY","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["code-generation","api-design","generative-ai","data-pipeline","llm","cloud"],"apply_url":"https://job-boards.greenhouse.io/gongio/jobs/4700442006","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-10T18:07:04Z","expires_at":"2026-09-29T13:42:59.54585Z","created_at":"2026-08-25T18:31:01.421372Z","updated_at":"2026-08-30T13:42:59.766594Z","company_name":"Gong","company_slug":"gong","company_logo_url":"https://www.google.com/s2/favicons?domain=gong.io\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/eb379aeb-9783-48a3-999c-20f34bd26378"},{"id":"846156f3-3777-45b0-9c32-8316942e8006","company_id":"1d9e5b7c-1619-4467-a0f1-cee763869454","title":"Senior Solution Engineer ","slug":"senior-solution-engineer-4aaf8902","description":"At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.\n\nWe are looking for a Senior Solution Engineer who thrives at the intersection of data, AI, and complex enterprise architecture. In this role you will work directly with the sales team and channel partners to understand the data challenges of our customers, strategize on how to navigate winning sales cycles, deliver compelling data-driven demonstrations, and support enterprise Proof of Concepts that showcase measurable business outcomes.\n\nAs a Snowflake Solution Engineer you must share our passion for transforming how organizations use data — from raw ingestion to real-time analytics to AI-powered applications. You thrive in a dynamic environment, are equally comfortable whiteboarding a medallion architecture with a data engineering team and presenting data ROI to a C-suite, and you bring deep opinions about what good data platform design looks like.\n\n\n\n\nIN THIS ROLE YOU WILL GET TO:\n\n - Present Snowflake's Data Cloud vision to data engineering leaders, analytics teams, data scientists, and executive stakeholders at prospects and customers\n\n - Lead hands-on technical discovery to map a customer's existing data architecture — pipelines, warehouses, lakehouses, governance gaps — and design a Snowflake-native path forward\n\n - Build and deliver tailored demos and proof of concepts across Snowflake's full data platform: data engineering (Snowpark, Dynamic Tables, Snowpipe), AI/ML (Cortex AI, ML model registry), and data sharing (Data Clean Rooms, Marketplace listings)\n\n - Guide customers through modern data architecture patterns including Data Mesh, Data Lakehouse, real-time streaming pipelines, and unified governance frameworks\n\n - Translate ambiguous business problems — churn prediction, supply chain visibility, financial consolidation, operational analytics — into concrete Snowflake data solutions\n\n - Partner with Product Management, Engineering, and Field teams to feed customer data architecture patterns back into the product roadmap\n\n\n\n\nON DAY ONE WE WILL EXPECT YOU TO HAVE:\n\n - 7–8 years of industry experience, with a minimum of 5 years in a pre-sales or solutions architecture role focused on data platforms\n\n - Deep hands-on expertise with SQL, Python, and cloud data warehouse / data lakehouse architectures; able to write working code in a customer session without hesitation\n\n - Broad experience across the modern data stack: ETL/ELT tools (dbt, Fivetran, Informatica, Spark), streaming platforms (Kafka, Kinesis), orchestration (Airflow, dbt Cloud), BI tools (Tableau, Looker, Power BI), and cloud infrastructure (AWS, Azure, GCP)\n\n - Proven ability to conduct deep data architecture discovery — understanding a customer's source systems, transformation layers, consumption patterns, and governance requirements — and connect those findings to a Snowflake reference architecture\n\n - Experience positioning AI and ML capabilities within a data platform context: feature stores, model training pipelines, LLM-powered applications, and AI governance\n\n - Strong intuition for data governance, quality, and compliance challenges (GDPR, CCPA, PCI) and how platform design decisions affect them\n\n - Ability to quantify the business value of a modern data architecture — cost reduction, time-to-insight, pipeline reliability, data product monetization\n\n - A demonstrated track record using AI code generation tools to accelerate prototyping and proof-of-concept delivery\n\n - University degree in computer science, data science, engineering, mathematics or a related field, or equivalent practical experience. A Master's in Data Science or Business Analytics is a plus\n\n - Experience working with GSIs (EY, Deloitte, Accenture, Slalom, etc.) on large data platform programs is beneficial but not required\n\n\n\n\nCOMPENSATION \u0026 BENEFITS:\n\n - $220,000 - $288,000 OTE (On Target Earnings = Base Salary + Commission/Quota)\n\n - Snowflake offers competitive base salary, variable compensation, equity, and comprehensive benefits including 401(k), health/dental/vision, flexible PTO, and professional development budget.\n\n\n\n\nABOUT OUR TEAM:\n\nOur Solution Engineers are customer-obsessed data practitioners. We believe in rigorous discovery before prescribing solutions, we stay honest about what Snowflake can and can't do, and we hold ourselves ac","salary_min":220000,"salary_max":288000,"location":"New York, NY","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","code-generation","llm","data-pipeline","cloud"],"apply_url":"https://jobs.ashbyhq.com/snowflake/a040adc3-9592-49cb-84db-27fcc8ede438/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-10T16:20:00.728Z","expires_at":"2026-09-29T13:42:23.904397Z","created_at":"2026-08-25T18:30:49.549957Z","updated_at":"2026-08-30T13:42:24.037755Z","company_name":"Snowflake","company_slug":"snowflake","company_logo_url":"https://www.google.com/s2/favicons?domain=snowflake.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/846156f3-3777-45b0-9c32-8316942e8006"}],"page":1,"per_page":20,"total":283,"total_is_exact":true,"total_pages":15}