{"access":{"catalog_url":"https://aidevboard.com/api/v1/catalog","description":"Public read endpoints are open and free. 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Over 140,000 companies and millions of people rely on Checkr for AI verification in the moments that matter most: getting a new job, a new place to live, a car ride, childcare, even a date. Customers include Uber, Pennymac, Airbnb, Doordash, and Anthropic. We’re a team that thrives on solving complex problems with innovative solutions that advance our mission. Checkr is recognized on Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company .\n About the team/role \n We’re hiring an ML Engineer (P3) to build and ship the AI systems that power Checkr’s core products. This role sits on the ML team inside Checkr’s Data \u0026 ML organization within Engineering.\n Checkr runs millions of background checks a year. The ML team builds the systems that make those checks faster, more accurate, and cheaper to operate: document processing, charge classification, entity resolution, and in-product intelligence. These are production services that Product Engineering depends on daily.\n This is not a research role or a notebook role. You’ll own ML services end-to-end: design them, code them, deploy them, monitor them. We need someone who writes production software, builds with LLMs and APIs as first-class tools, and can tell the difference between working code and AI slop. If you’ve spent the last few years building AI-native software and you care deeply about engineering craft, we want to talk.\n This role sits in the central Data \u0026 ML team within the Engineering organization. You will partner daily with Product Engineering, Product, and cross-functional teams. You’ll also contribute to Checkr’s broader AI strategy, including our initiative to deploy our agentic fleet and build scalable context with our semantic layer.\n We are looking for someone based in San Francisco who has built ML systems in fast-moving, impact-first environments. Less process, more shipping. Less paperwork, more results.\n What you’ll do \n \n Build and deploy ML/AI services. Design, develop, and ship ML models and AI systems that Product Engineering teams rely on. You write the model code, the API layer, the monitoring, and the tests. Not notebooks; production services.\n Design with LLMs and APIs. Use LLM APIs (OpenAI, Anthropic, etc.) as building blocks in production systems. You know when to call an LLM, when to fine-tune, when to use a classical model, and when to write a rule. You think about cost, latency, and quality together.\n Ship production software. Write clean, well-structured code with solid OOP, proper abstractions, error handling, and tests. Your code gets reviewed by SWEs and passes. CI/CD is how you work, not something you bolt on at the end.\n Partner with product and engineering. Translate business problems into ML solutions. Define API contracts with product engineers. Explain your approach clearly to non-ML partners and leave the room with alignment, not confusion.\n Evaluate and iterate fast. Build evaluation frameworks, run experiments, and make data-driven decisions about model and system performance. Ship and iterate; don’t wait for perfect.\n Ship AI-powered workflows. Put AI to work on your own processes: automate pipelines, build agentic workflows, and contribute reusable skills and context to Checkr’s agentic platform. The expectation is that our teams operate AI-first.\n \n  \n What you bring \n \n A Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field, or equivalent depth from experience\n 6+ years building software professionally, with at least 2 of those building ML systems that run in production\n Strong Python fluency; you write clean, testable, well-structured code with solid OOP instincts. Hands-on experience using LLM APIs in production systems: prompt engineering, structured outputs, function calling, cost management, and evaluation\n You’ve built and maintained APIs, worked with CI/CD pipelines, and shipped code that other engineers depend on\n Comfort with and enthusiasm for AI-assisted workflows; experience using LLMs, code-generation tools, or agentic systems in production or operational contexts is a strong signal\n You use AI tools (Copilot, Claude, etc.) to move faster, but you understand every line they produce. You can spot AI slop and you don’t ship it\n An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes. \n \n Nice to have \n \n Experience with MLOps platforms (MLflow, SageMaker, Vertex, or similar)\n Background in document processing, OCR, or information extraction\n Experience with PySpark or large-scale data processing\n Ruby experience (Checkr’s platform runs on Rails)\n Familiarity with compliance-sensitive domains (fintech, legal tech, HR tech)\n Working knowledge of dbt, Snowflake, or modern ELT/data transformation tools\n Pay Transparen","salary_min":176000,"salary_max":207000,"location":"Denver, CO","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","code-generation","payments","legal","llm","mlops","machine-learning"],"apply_url":"https://job-boards.greenhouse.io/checkr/jobs/8274246","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-12T16:04:33Z","expires_at":"2026-11-13T16:58:42.655818Z","created_at":"2026-10-14T15:22:20.04347Z","updated_at":"2026-10-14T16:58:42.658798Z","company_name":"Checkr","company_slug":"checkr","company_logo_url":"https://www.google.com/s2/favicons?domain=checkr.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/32e747ed-8b79-450b-9035-c6baf08039fa"},{"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":185000,"salary_max":300000,"location":"Washington, DC","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"senior","tags":["agents","code-generation","cloud","llm"],"apply_url":"https://jobs.ashbyhq.com/langchain/6eecbcda-d94f-4700-b8c7-ce54cb212290/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-09T20:46:48.848Z","expires_at":"2026-11-13T16:55:07.955016Z","created_at":"2026-08-25T18:26:42.764004Z","updated_at":"2026-10-14T16:55:07.957991Z","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":"a5933db7-95b3-4868-a949-7067b206453d","company_id":"332b7698-676b-4a3e-8b02-81b1195c5af6","title":"Sr. Automation Engineer - IT Asset Management","slug":"sr-automation-engineer-it-asset-management-9e6ebd4d","description":"Sr. Automation Engineer - IT Asset Management \n Req ID: GAQ427R222 \n About the Role \n As a Senior Automation Engineer on the IT Asset Management team at Databricks, you will be the technical engine behind transforming how we manage ~$XXM/yr in asset spend across SaaS licenses and hardware. Your primary mission is to eliminate manual toil and build scalable, AI-powered automation that makes asset operations fast, accurate, and effortless as Databricks scales past 14,000 employees.\n Your initial focus will be on IT asset management workflows: automating new hire laptop provisioning, SaaS license lifecycle management, asset data reconciliation, and hardware recovery. Over time, you will expand your automation footprint across IT Support and Operations, including IT support workflows, AV/VC and event support, and incident response management.\n This role requires a strong automation-first mindset, the ability to learn new domains quickly, and comfort building with AI/LLM tools. You will report to the Senior Manager of IT Asset Management.\n The Impact You Will Have \n \n New hire laptop provisioning: Build end-to-end automation for assigning, configuring, and shipping laptops to new hires, targeting a 75% reduction in manual ticket toil.\n SaaS license lifecycle: Automate license consumption monitoring, inactivity-based seat clawbacks, renewal alerting, and cost optimization workflows to help drive $1.5M+ in annual savings and cost avoidance.\n Asset data quality: Automate CMDB/inventory reconciliation, deduplication, and multi-device detection to bring asset records to audit-ready accuracy.\n Offboarding asset recovery: Automate tracking and recovery of hardware from exiting employees, reducing loss and improving chain-of-custody compliance.\n Broader IT Ops automation (over time): Extend automation into IT support, AV/VC and event support, and incident response management as the ITAM automation foundation matures.\n \n What We Are Looking For \n Core Qualifications \n \n 5+ years of experience in IT systems engineering, automation engineering, or a related technical role.\n Proven track record of delivering complex, multi-system automation projects with measurable business impact.\n Strong automation-first mindset: you see a manual process and immediately think about how to build a scalable, reliable automated solution.\n Ability to operate with minimal guidance, take ownership of ambiguous problems, and deliver consistently high-quality work in a fast-paced environment.\n We value a great generalist who can learn a domain quickly over a narrow specialist. You should be comfortable ramping into unfamiliar systems and business processes and building effective automation without needing deep prior domain expertise.\n \n AI and LLM Automation \n \n Hands-on experience building workflows, agents, or tools powered by large language models (e.g., Claude, GPT, Gemini, or similar).\n Ability to design AI-powered automation that handles unstructured inputs, makes decisions, and integrates with enterprise systems.\n Experience with prompt engineering, agent frameworks, or AI-assisted code generation in a production or operational context.\n Comfort evaluating and selecting the right AI approach for a given problem, whether that is a deterministic rule, an LLM call, or a hybrid.\n \n Automation and Integration \n \n Experience building and troubleshooting integrations between IT platforms such as ITSM tools (FreshService, ServiceNow, or similar), identity platforms, and asset management systems.\n Experience designing automation for IT operational processes: onboarding/offboarding, access provisioning, license management, asset tracking, or similar.\n Familiarity with REST APIs, scripting (Python, Bash, or similar), and the ability to connect systems that were not designed to talk to each other.\n Experience with data pipelines, ETL, or data quality workflows is a plus.\n \n Collaboration and Communication \n \n Strong cross-functional collaboration skills. Comfortable working with IT operations, security, procurement, finance, and vendor partners.\n Effective at documenting solutions and training peers on new tools and processes.\n Clear communicator who can translate complex technical work into business terms for non-technical stakeholders.\n \n Nice to Have \n \n Experience with Databricks, data lakehouse architectures, or SQL-based analytics platforms.\n Experience with IT asset management or SaaS management tools (e.g., Oomnitza, Productiv, Zluri, or similar).\n Experience with no-code/low-code automation platforms (e.g., Tines, Workato, or similar).\n Familiarity with ITIL processes or IT service management frameworks.\n \n Location \n US-based, West Coast preferred.\n  \n Pay Range Transparency \n Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages ar","salary_min":121800,"salary_max":167550,"location":"Bellevue, WA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","code-generation","data-pipeline","llm","api-design","infrastructure"],"apply_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8829047002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-09T18:09:43Z","expires_at":"2026-11-13T16:55:16.60437Z","created_at":"2026-10-14T15:19:06.003672Z","updated_at":"2026-10-14T16:55:16.607166Z","company_name":"Databricks","company_slug":"databricks","company_logo_url":"https://www.google.com/s2/favicons?domain=databricks.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a5933db7-95b3-4868-a949-7067b206453d"},{"id":"7700aa2a-0736-4261-86f4-43e527ee6f2c","company_id":"b4787255-dacd-444b-8e44-bb9971ec1f36","title":"Senior Director, Product Management, Agentic Platform","slug":"senior-director-product-management-agentic-platform-368b55e9","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 ZoomInfo has rebuilt itself around AI, and every agentic experience we ship runs on one shared platform — Copilot chat, agent teams, bots, GTM Studio, MarketingOS, and products that don't exist yet. As Senior Director of Product Management for the Agentic Platform, you'll be the right hand to our VP of Agents \u0026 Orchestration, owning the core primitives every agent depends on and the forward-looking R\u0026D that keeps our agents ahead of what off-the-shelf models and frameworks can do. The best practices for agentic platforms are being written right now, and you'll help write them.\n What You'll Do \n \n You will set the multi-year Agentic Platform strategy and turn it into a roadmap that balances reliability, speed for product teams, and bets on the frontier.\n You will own core platform primitives — multi-agent orchestration, planning and execution runtimes, memory and context management, tool and MCP infrastructure, guardrails, and observability — and define the abstractions that let product teams compose new agents quickly.\n You will lead the product side of custom model training and fine-tuning on ZoomInfo's proprietary data, deciding where custom models create lasting advantage versus frontier models.\n You will build the decisioning-model layer that lets agents choose the right action, partnering with data science to turn ZoomInfo's signals into models agents invoke as first-class capabilities.\n You will run a structured orchestration R\u0026D program that tracks emerging research and moves the winners into production.\n You will identify and ship net-new platform capabilities that unlock new product surfaces and revenue, taking ideas from whiteboard sketch to production primitive.\n You will partner with engineering to make agent infrastructure production-grade — measurable on execution at scale, latency, cost per task, security, and compliance.\n You will build and grow a team of senior and principal PMs, hiring for technical depth and ownership and developing leaders who run their own areas with the same bar you hold.\n \n What You Bring \n Must-Have: \n \n At least 10 years building technical products, including at least 3 years leading teams of PMs or running a company\n Deep, hands-on experience with production agentic systems — agents that plan, invoke tools, and take real actions, not just chat interfaces\n A track record of taking an AI or agentic product from 0→1, either as a founder or as the product leader who owned it end to end\n Fluency across the modern agentic stack, including orchestration frameworks (LangGraph, CrewAI, or custom), MCP and tool-calling patterns, RAG and memory architectures, and evals and observability\n Enough technical depth to review architecture docs, read agent traces, and prototype in code yourself\n \n Preferred: \n \n Working knowledge of model development, including fine-tuning, post-training, evaluation design, and the economics of custom versus frontier models\n Experience building platform products where engineering and product teams are your customers\n Experience shipping decisioning, ranking, or recommendation models into production\n Experience in B2B, GTM, or data platform businesses\n \n  \n  \n #LI-Remote\n #LI-VC1\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 $192,920 — $303,160 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-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here .\n ZoomInfo is proud to be an equal opportunity employer, hiring based","salary_min":192920,"salary_max":303160,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"lead","tags":["rag","code-generation","fine-tuning","agents"],"apply_url":"https://www.zoominfo.com/careers?gh_jid=8876309002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-09T17:48:12Z","expires_at":"2026-11-13T17:03:21.855103Z","created_at":"2026-10-14T15:25:25.418534Z","updated_at":"2026-10-14T17:03:21.859287Z","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/7700aa2a-0736-4261-86f4-43e527ee6f2c"},{"id":"1626ab92-950f-40b1-98fe-93b5e3448126","company_id":"e09c6869-c06f-4a6b-bf08-dd5cd3138ee1","title":"Frontend Engineer, Agents","slug":"frontend-engineer-agents-83e13906","description":"FRONT-END ENGINEER, AGENTS\n\n\n\n\nABOUT HEBBIA\n\nThe user interface for universal knowledge capture. We want every atom of information that our users need to be at their fingertips.\n\nDesigned to be generally capable– it can tackle even the most complex tasks, citing answers over any amount of sources. By showing its work, Hebbia empowers users to collaborate with AI on each step and validate responses instead of blindly trusting them.  Our mission is to put capable AI in the hands of 1 billion people by 2030.\n\n\n\n\nTHE TEAM\n\nHebbia enables leading finance and legal firms with advanced reasoning, copiloting and retrieval capabilities - unlocking meaningful insights for meaningful use cases. The Agents team builds everything from core document understanding capabilities to co-piloting experiences for matrix and deep, multi-source research. We’ve built our own agentic frameworks powered by distributed systems built for scale.\n\n\n\nWe don’t build for one-off success. We build steerable, reliable and explainable agentic systems. And we build these systems for the scale of data our customers bring to the table. Our goal is to unlock the unknowable unknown for customers all over the world.\n\n\n\nWe want to build a product that becomes indisposable to our customers and as delightful as your favorite consumer product. We move fast and build first of their kind systems.\n\nOur team works in person 5 days a week at our SoHo office in NYC.\n\n\nWhat we’ve built: \n\n\n 1. A custom multi-agent framework https://www.hebbia.com/blog/divide-and-conquer-hebbias-multi-agent-redesign powering everything from deep research capabilities to copiloting interfaces paired with distributed systems infrastructure for long running agentic tasks.\n\n 2. The world’s most powerful and scalable LLM inference engine - a distributed, asynchronous DAG orchestrator capable of incorporating live graph mutations, cooperating in tandem with our LLM throughput management capabilities. https://www.hebbia.com/blog/maximizer-hebbias-distributed-system-for-high-scale-llm-request-scheduling\n\n 3. Elastically scaling data representation and metadata generation → powering the most effective private data retrieval systems.\n\n 4. Industry leading agents  https://www.hebbia.com/blog/goodbye-rag-how-hebbia-solved-information-retrieval-for-llmssolving problems from buy side company diligence to multi billion dollar M\u0026A.\n\n\n\n\nTHE ROLE\n\nAs a Front-End Engineer on Agents, you will not only own the interfaces bankers, investors, and lawyers use to work with Max and Matrix, but the user experience overall. You will be responsible for simple, delightful experiences for users to direct long-running agents, review citations, and iterate on key deliverables. You will turn new agentic capabilities from our research team into fast, polished interfaces on the web and on iOS. Engineers at Hebbia are given agency to own features end-to-end, so when a feature needs a new endpoint, streaming API, or Hebbia MCP tool, you will build it too.\n\nThis role requires deep expertise in modern web front-end engineering (TypeScript, React), strong product sense, and comfort working in the backend when needed. iOS experience is highly valued: we are bringing Max and more to mobile, and you would help build it. You will work directly with applied researchers and infrastructure engineers, so you should be comfortable understanding the full system, from model call to UI.\n\nOur team works in person 5 days a week at our SoHo office in NYC.\n\n\nRESPONSIBILITIES\n\n - Design and build the agent-facing UI for Hebbia: streaming agent output, real-time progress over long-running tasks, citation and provenance views, checkpoint and approval flows.\n\n - Own front-end architecture for data-dense, real-time surfaces — hundreds of companies × thousands of documents — with rendering performance and state management that hold up at that scale.\n\n - Contribute to making mobile, a high-value surface for finance professionals, an excellent surface to talk to Max on the go.\n\n - Build the backend surface those UIs depend on: streaming and real-time endpoints, agent state and session APIs, Hebbia MCP tools, and the glue to new data integrations.\n\n - Partner with applied researchers to get new agentic capabilities in front of users quickly, then iterate using insights from eval frameworks.\n\n - Own quality end to end: accessibility, telemetry, testing, performance budgets, and a design system that scales across web and mobile.\n\n\nWHO YOU ARE\n\n - Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience\n\n - 4+ years building production front-ends at a venture-backed startup or top technology firm\n\n - Expert in TypeScript and React, with a deep understanding of rendering performance, state management, data fetching, and real-time patterns.\n\n - Comfortable across the stack — designing APIs, working with async services, and debugging the systems behind your UI\n\n - Strong product sense and de","salary_min":160000,"salary_max":300000,"location":"New York, NY","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["distributed-systems","llm","code-generation","computer-graphics","agents","frontend"],"apply_url":"https://jobs.ashbyhq.com/hebbia-ai/038bddb3-c0dd-43e1-8863-17efdf9427db/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-05T18:39:37.995Z","expires_at":"2026-11-13T16:56:05.625927Z","created_at":"2026-10-14T15:20:13.991694Z","updated_at":"2026-10-14T16:56:05.629477Z","company_name":"Hebbia","company_slug":"hebbia","company_logo_url":"https://www.google.com/s2/favicons?domain=hebbia.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/1626ab92-950f-40b1-98fe-93b5e3448126"},{"id":"74c5e277-3acd-4d1e-881c-451a082d5a7f","company_id":"7455e78c-482b-4f7b-9d62-11b78645818a","title":"Principal, Strategy \u0026 Transformation","slug":"principal-strategy-transformation-2fca08b2","description":"About the Role\n Abnormal AI is looking for a Principal, Strategy \u0026 Transformation to join the Go-to-Market (GTM) Strategy team. This team supports our sales, marketing, and customer success functions to identify and execute against strategic GTM initiatives.\n This is an AI-native, vertically integrated role. At most companies, this work sits on a pyramid: an analyst pulls the data and builds the model, a manager shapes the narrative, and someone at the associate-partner level packages it and runs the room with senior stakeholders. We want one person to collapse that pyramid. Source the data yourself, build the model, and run the analysis, with AI doing the heavy lifting. Then package it into a sharp recommendation and manage the senior stakeholders yourself, with the judgment of someone who's done this at the partner level. AI isn't a productivity perk here. It's the reason this can be one seat instead of three.\n The job doesn't stop at the recommendation. You're not accountable for another team's execution outcomes, but you are expected to drive execution, especially the cross-functional kind: make sure the teams doing the work have context, keep the timeline honest, and escalate up the chain when something stalls.\n What You'll Do\n \n Frame and break down complex business problems, develop hypotheses, and drive the analysis to a recommendation, using AI tools (LLMs, coding agents, SQL/Python copilots) as your default workflow, not a side experiment\n Build and iterate on analyses, models, and dashboards on your own that would traditionally take a team of analysts\n Work across a cross-functional set of stakeholders: gather the right information, pressure-test your hypotheses, and co-create deliverables\n Present recommendations that hold up under executive scrutiny\n Drive cross-functional execution after the recommendation lands. Make sure the teams doing the work have context, keep the timeline honest, and escalate when something's off track\n Wear whatever hat the problem needs: strategy one week, project management the next, hands-on execution after that\n Coach analysts and Strategy team members on using AI to extend their own output\n \n Must Haves\n \n High agency. You see a problem and go solve it. You don't wait for the perfect data set or someone's permission to start.\n AI-fluent by default, not by exception. You already use AI tools, Claude, ChatGPT, coding and analysis agents, as your primary way of working through analysis and modeling. You can prompt and iterate well enough to produce what would normally take a small analyst team.\n Vertically integrated. You do the analyst-level work yourself (data pulls, modeling, analysis) and the associate-partner-level work (packaging the recommendation, managing senior stakeholders), without handing either half to someone else.\n Ownership that doesn't end at the recommendation. You'll chase cross-functional execution, keep teams honest on timing, and escalate before something quietly slips.\n 3+ years post-MBA, with at least 2 in management consulting (McKinsey, Bain, BCG), private equity, or a top-tier tech strategy/bizops function or equivalent demonstrated output. AI leverage means the right candidate may not fit the traditional mold.\n MBA from a top-tier B-school, or a \"direct promote\" track record in consulting.\n Deep experience in enterprise tech; cybersecurity knowledge is a plus, not a requirement.\n Comfortable building relationships and leading through influence without formal authority.\n Experience managing projects and large-scale transformations.\n Strong verbal and written communication with senior audiences, both business and technical.\n A self-starter who does well with minimal supervision in a fast-moving environment.\n \n Nice to Haves\n \n Hands-on experience using AI coding tools (Claude Code, Cursor, ChatGPT's data analysis mode) to build lightweight tools or automations, not just prose or slides\n Background in cybersecurity or another high-growth SaaS category\n \n  \n #LI-LM3\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 $172,100 — $247,500 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 prevaili","salary_min":172100,"salary_max":247500,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"principal","tags":["code-generation","data-pipeline","llm","security"],"apply_url":"https://abnormal.ai/careers/jobs/8009973003?gh_jid=8009973003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-30T22:47:36Z","expires_at":"2026-11-13T16:55:40.509001Z","created_at":"2026-10-14T15:19:46.181691Z","updated_at":"2026-10-14T16:55:40.512083Z","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/74c5e277-3acd-4d1e-881c-451a082d5a7f"},{"id":"5dfc8142-843e-4676-84f1-8fba638f9111","company_id":"52f44519-9f93-4eac-ae0b-8be13e385ebe","title":"Chief Financial Officer","slug":"chief-financial-officer-14895129","description":"CHIEF FINANCIAL OFFICER\n\n \n\nYou'll be Firecrawl's first CFO. Finance here isn't a reporting function that closes the books and forecasts what engineering already decided. It sits inside the product: our pricing is usage-based, our cost of goods moves with the web itself, and the gap between the two is the most important number in the company. You'll own that number and everything that feeds it.\n\nWe just closed a $75M Series B, launched our second product, Alexandria, and are hiring at a pace that will nearly double the team. Finance got us here running lean, the way a company our size should. The next stage needs a function built for it: accounting and controls, FP\u0026A, tax and treasury, billing and revenue recognition, capital strategy, and the board relationship, built without slowing the company down.\n\nYou'll report to our CEO, sit with the founders on every decision that costs money or makes it, partner with our General Counsel and Chief of Staff on the company's operating spine, and own how we deploy the capital we just raised and help raise the round after it.\n\n\n\nSalary Range: $400,000–$453,000 USD/year\n\nEquity Range: Competitive equity. Details shared during the process.\n\nLocation: San Francisco, CA (SF HQ). Hybrid, onsite 3+ days a week. \n\nJob Type: Full-Time\n\nExperience: 4+ years\n\nWork Authorization: Open to candidates already authorized to work in the US. We also support H-1B transfers, F-1 OPT and STEM OPT, TN (Canada and Mexico), and E-3 (Australia). We’re not able to sponsor new H-1B visas for candidates outside the US.\n\n\n\n\nABOUT FIRECRAWL\n\nFirecrawl is the easiest way to turn the web into data AI agents can use. One API call converts any URL into clean, LLM-ready markdown or structured data. It's the boring-hard problem everyone building with LLMs eventually hits, solved.\n\nIn September 2026, we raised a $75M Series B led by Smash Capital, and we're spending it building the largest repository of knowledge in the world. We have 187k+ GitHub stars, putting us in the top 40 repositories of all time, and developers, agents, and category-defining AI companies build on us every day. Growth like this is rare, and we're just getting started.\n\nWe're a small team punching far above our weight. Everyone here owns a real piece of the product and company, end to end, and runs it themselves. No hiding behind process or headcount.\n\nThis is a place for people who want to work at the frontier: an AI company building the infrastructure other AI companies run on, not one bolting AI onto an existing product. We move fast, go deep, and are building the tools superintelligence will rely on to gather data from the web. That library is called Alexandria, and it starts now.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own the model and the margin: Build the operating model the founders and board actually use: revenue, margin, headcount, and cash. If the numbers say something we don't want to hear, you say it first\n\n - Run pricing economics: Credits, prepaid and pay-as-you-go, plans, enterprise contracts, and discount authority, decided with product and revenue\n\n - Deploy the Series B and co-pilot the next raise: Decide how fast we spend and on what. Build the model, data room, and diligence with the CEO so the next round runs better than the last\n\n - Treat tokens as a P\u0026L line: Inference is both our cost of goods and how we get work done. Know what it costs, what it returns, and where the next dollar of compute goes\n\n - Build the finance function: Close and revenue recognition for a usage-based business, audit, board and investor reporting, tax, treasury, spend, and equity admin. Table stakes: run them well and make them as automated as any finance team you've seen. Hire a controller and an FP\u0026A lead when the time is right\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - You're an AI super user: Non-negotiable. You run AI across your own work today and have opinions about where it fails\n\n - You've run finance and owned a balance sheet: CFO or VP Finance owning the whole function at a venture-backed company, through a priced round and the growth after it\n\n - You're hands-on: You build the model yourself, you can close the books if you have to, and you work without a team on day one\n\n - You've been the CEO's copilot on a fundraise: The model, the data room, the diligence, and a straight read on terms\n\n - You think from first principles about scaling a company in a new era: Usage-based revenue, real cost of goods, compute as both cost and leverage. The old SaaS playbook doesn't carry over, and you know why\n\n\n\n\nWHAT WE'RE NOT LOOKING FOR\n\n - The fundraising CFO: Great in the data room, hazy on where last month's margin went\n\n - The pure controller: Brilliant on the close, uninterested in the capital strategy, board, and pricing work\n\n - The budget cop: Measures success in spend blocked and deals slowed\n\n - The big-company operator: Has never built a model from a blank sheet or hired the first person on a team\n\n - The SaaS-only thinker: Believes usage-based re","salary_min":400000,"salary_max":453000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["agents","data-pipeline","code-generation","payments","llm","fintech"],"apply_url":"https://jobs.ashbyhq.com/firecrawl/f34b5528-5101-40a8-a69d-1f383ba6795d/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-30T18:14:13.055Z","expires_at":"2026-11-13T17:00:14.077964Z","created_at":"2026-10-14T15:23:48.956861Z","updated_at":"2026-10-14T17:00:14.082304Z","company_name":"Firecrawl","company_slug":"firecrawl","company_logo_url":"https://www.google.com/s2/favicons?domain=firecrawl.dev\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/5dfc8142-843e-4676-84f1-8fba638f9111"},{"id":"6c7fdbb5-cf52-436d-884b-ace3a083dacd","company_id":"714f360f-a244-487d-b3f0-0c43518a9e66","title":"Staff Machine Learning Engineer, Ads Bidding \u0026 Pacing","slug":"staff-machine-learning-engineer-ads-bidding-pacing-434df990","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 Pinterest is one of the fastest growing online ad platforms, and our success depends on building a suite of bid strategies that help advertisers achieve their goals within the Pinterest marketplace. We support both automatic bidding (maximizes the number of clicks, conversions and GMV) as well as target average bidding (CPA or ROAS targets) for Pinterest ads. We’re looking for an ML engineer with experience in ads delivery, machine learning, bid landscapes, and automatic bidding / ads pacing to develop new data-driven techniques to drive ads delivery performance and maximum ROI for advertisers, growing Pinterest’s revenue stream.\n What you’ll do: \n \n Design target ROAS and automatic bidding \u0026 pacing algorithms for ads.\n Explore bid landscapes to maximize revenue and advertiser value.\n Work with product and sales teams to design and implement bidding strategies for new ad products.\n A/B Experiment with bidding algorithm improvement ideas.\n Collaborate with other teams to identify bidding and budgeting opportunities and capitalize on them.\n \n What we’re looking for: \n \n Bachelor's degree in Computer Science, Statistics, a related field, or equivalent experience.\n 6+ years of industry experience in ads delivery, automatic bidding / pacing, target ROAS bidding, ads marketplace / utility, or machine learning.\n Proven Staff-level technical leadership as an IC: driving technical direction and cross-team alignment without formal people management.\n Demonstrated ability to use AI to improve speed and quality of your workflow, with a strong track record of validating and stress-testing AI-assisted outputs.\n Degree in Computer Science, Statistics, or a related field.\n Direct experience specifically with bidding or pacing is a big plus.\n Bachelor's degree in computer science, statistics, engineering, or \n Experience with Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring.\n Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration.\n \n  \n Relocation Statement :\n \n This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.\n \n In-Office Requirement Statement :.\n \n We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.\n This role will need to be in the office for in-person collaboration 3 times per quarter and therefore needs to be in a commutable distance from one of the following offices: San Francisco, Palo Alto, Seattle.\n \n #LI-HYRBID\n #LI-SM4\n At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.\n Information regarding the culture at Pinterest and benefits available for this position can be found here . \n US based applicants only\n $222,716 — $389,753 USD \n Our Commitment to Inclusion: \n Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical ","salary_min":222716,"salary_max":389753,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["llm","code-generation","fine-tuning","machine-learning"],"apply_url":"https://www.pinterestcareers.com/jobs/?gh_jid=8238679","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-29T22:31:14Z","expires_at":"2026-11-13T16:57:51.220413Z","created_at":"2026-10-14T15:21:31.454285Z","updated_at":"2026-10-14T16:57:51.223593Z","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/6c7fdbb5-cf52-436d-884b-ace3a083dacd"},{"id":"4fadc663-d897-4c6c-9871-9df20f6050b2","company_id":"92ecd7f4-44ad-4dc4-8fe8-0c4cab4fa5db","title":"Senior Manager, Engineering","slug":"senior-manager-engineering-550cd2ce","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 Manager, Engineering on the IQ Platform team, you'll lead the vision and architecture behind the context layer that powers everything our AI agents do. Our agents run end-to-end marketing workflows with high quality and reliability because of the IQ layer. This is one of the most important technical areas of our product: the IQ Platform helps agents understand business context, deliver high-value intelligence, and execute complex marketing workflows.\n\n\n\nThis is a player-coach role: you'll lead a team of engineers while staying close to the architecture and code, acting as both a people leader and a hands-on technical contributor. You'll partner with Staff-level engineers to cut through ambiguity and drive technical strategy forward. Your guidance will shape the roadmap for our knowledge management and RAG systems, and drive the evolution of a context layer that learns and improves over time.\n\n\n\nThis fully remote role reports to the Senior Director, Engineering and is open to candidates located anywhere in the US.\n\n\n\n\n WHAT YOU WILL DO AT JASPER\n\n - Lead the IQ Platform team—set technical direction, coach engineers, and own delivery of major platform initiatives end-to-end\n\n - Chart and communicate the vision for our context layer, aligning engineering investments with business impact and product strategy\n\n - Build and scale our knowledge management system, including external integrations and RAG pipelines that feed high-quality context to our agents\n\n - Design and implement the architecture that makes our context layer self-improving—learning from usage, feedback, and new data to continuously raise quality\n\n - Act as a player-coach: write and review code alongside the team while mentoring engineers and raising the bar on technical excellence\n\n - Partner with Staff-level and senior engineers across the org as a strategic thinking partner on complex, ambiguous problems\n\n - Balance velocity and quality in a startup environment—shipping major systems pragmatically while keeping the architecture extensible\n\n - Collaborate cross-functionally with Product, Design, and other Engineering teams to ensure the IQ Platform powers real-world agent workflows at scale\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 building and leading an AI platform engineering team\n\n - 10+ years of hands-on software engineering experience, with demonstrated people leadership and technical architecture ownership\n\n - Proven leadership at a company focused on business impact—you develop engineers, build healthy teams, and connect technical work to business outcomes\n\n - Flexibility to ship major systems in a startup environment—scrappy, velocity-oriented, and comfortable with ambiguity and evolving requirements\n\n - Ability to work effectively with Staff-level engineers as a true thinking partner on hard architectural and systems-design problems\n\n - Strong systems design and architecture skills, with experience building production platforms or infrastructure at scale\n\n - Nice to have: Hands-on experience with LLMs and applied LLM systems\n\n - Nice to have: RAG expertise, including retrieval pipelines, embedding strategies, and evaluation\n\n - Nice to have: Familiarity with LLM frameworks such as LangChain\n   \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 $214,200 - $259,000. Compensation may vary based on relevant experience, skills, competencies, and certifications.\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 - Equity grant participation\n\n - Flexible PTO with a FlexExperience budget ($900 annually) to help you make the most of your time away from work\n\n - FlexWellness program ($1,800 annually) to help support your personal health goals\n\n - Generous budget for home office set up \n\n - $1,500 annual learning and development stipend \n\n - 16 weeks of paid parental leave\n   \n   \n\nOur goal is to be a diverse workforce that is representative at all job levels as we know th","salary_min":214200,"salary_max":259000,"location":"United States","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["code-generation","agents","llm","rag"],"apply_url":"https://jobs.ashbyhq.com/Jasper%20AI/a6aa87ff-23ff-41ca-afc9-8a99141d9e2f/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-29T21:56:43.908Z","expires_at":"2026-11-13T16:55:27.151507Z","created_at":"2026-10-14T15:19:17.304097Z","updated_at":"2026-10-14T16:55:27.154383Z","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/4fadc663-d897-4c6c-9871-9df20f6050b2"},{"id":"13d94c06-bee9-4b4a-974f-9db87d431a7c","company_id":"861968d1-d9f8-4217-9873-ce4b24851abc","title":"Director, Data Product Engineering","slug":"director-data-product-engineering-49454acb","description":"ABOUT THE ROLE \n  \n Natera is seeking a product engineering leader to build and lead the team that designs, delivers, and operates domain data products and AI-enabled analytical solutions on NDP (Natera Data Platform). You will report to the Head of Data \u0026 AI and partner with platform, governance, and product functions to turn data needs into certified, production-grade data and analytics products. \n  \n Natera follows a data mesh architecture with headless data products: domain-owned assets, not tied to any BI layer, built for both human and AI consumption . A data product is ready when it is semantically correct and AI-ready, not just numerically accurate. Your mandate is to make that standard repeatable across every domain while transforming how the team works: AI-native, 3–5x more productive, and self-service for the business. \n  \n Please note that this is role focuses on product side of data engineering (not platform). This person needs to demonstrate their ability to \n  \n (a) Build a self-service analytics product experience for business users and \n (b) Create a catalog of AI ready gold-standard cross functional data products \n (c) Create an operating model focusing on reusability, speed. and business value of data \n  \n that scale beyond one business domain. \n  \n Critical Priorities for This Role \n \n Standardize and scale how data products are built — one publishing standard, golden paths, and a common operating model across every domain. \n Make the team AI-native — agentic SDLC and AI-assisted development become how everyone works resulting in higher productivity and growth opportunities \n Deliver a 3–5x productivity gain — instrumented with baselines and delivery KPIs, not anecdotes. \n Raise data product quality — semantically correct, AI-ready, observable, ship-ready data products. \n Make analytics self-service — certified, discoverable products that business users and AI systems consume without an engineering queue. \n \n  \n RESPONSIBILITIES \n 1. Own Data Product Delivery \n \n Lead the build of cross functional data products, analytics experiences, and Golden KPI's that are essential to making data driven decisions across the business \n Create the operating model to deliver analytics to business users by leveraging embedded data/AI engineers with each business domain. \n Track and report delivery KPIs: time-to-delivery, certified dataset count, adoption by consuming teams, open production incidents. \n \n 2. Standardize \u0026 Scale How Data Products Are Built for Analytics and AI use \n \n Define and enforce the publishing standard for analytics products: semantically correct, AI-ready, lineage documented, ownership assigned, catalog entry complete. \n Establish the headless data product standard: domain-owned assets any authorized consumer — dashboard, workflow, or AI system — can use. \n Build golden paths (templates, examples, documented patterns) so every product starts from a known-good baseline, and make this the operating model for intake, build, certification, and support. \n \n 3. Build an AI-Native Engineering Competency \n \n Drive agentic data engineering as the default: agentic SDLC, AI pipeline generation, agents writing and validating dbt models, AI-driven testing, LLM tools in code review and documentation. \n Train every engineer to work AI-natively and redefine the working model — SDLC steps, roles, human-in-the-loop checkpoints, definition of done. \n Own a measurable plan to lift productivity 3–5x: baseline throughput and cycle time, instrument each change, report outcomes. \n \n 4. Raise the Data Product Quality Bar \n \n Enforce engineering standards on every production solution: CI/CD for pipelines, infrastructure as code, data observability, data quality frameworks. \n Implement agentic data quality: automated drift detection, root-cause identification, human-in-the-loop recovery. \n Meet HIPAA, RAQA, and data classification requirements at design time. If a product does not meet the bar, it does not ship. \n \n 5. Make Data Self-Service for Humans and AI \n \n Own the NDP contribution and discovery model: what gets published, how it is documented, and how human and AI consumers find and evaluate certified assets. \n Ensure every catalog entry carries semantic metadata and AI-readiness classification so business users and AI agents answer their own questions without an engineering ticket. \n Partner with the Data Governance Lead to embed data contracts, certification review, and access policy into the lifecycle so self-service is safe and correctly scoped. \n \n 6. Lead the Team and Set the Technical Bar \n \n Hire, coach, and grow data and analytics engineers; set clear expectations, give direct feedback, build real career paths. \n Stay hands-on: review architecture and code, debug production failures, and set the standard by example across Snowflake, AWS, Claude, Sigma, dbt, Fivetran, Python, and Airflow. \n Be the engineering face of data products to business stakeholders: transl","salary_min":186700,"salary_max":233400,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"lead","tags":["llm","healthcare","rag","embeddings","agents","data-pipeline","code-generation"],"apply_url":"https://job-boards.greenhouse.io/natera/jobs/6205809004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-25T21:32:23Z","expires_at":"2026-11-13T16:58:37.946383Z","created_at":"2026-10-14T15:22:15.586183Z","updated_at":"2026-10-14T16:58:37.94917Z","company_name":"Natera","company_slug":"natera","company_logo_url":"https://www.google.com/s2/favicons?domain=natera.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/13d94c06-bee9-4b4a-974f-9db87d431a7c"},{"id":"e2d25645-544e-46b0-a018-8ba88515ba9f","company_id":"a368ef00-6d23-4c49-8a6d-976a4e82eb89","title":"Associate Director, MLOps Engineering","slug":"associate-director-mlops-engineering-304bb3ff","description":"PathAI's mission is to improve patient outcomes with AI-powered pathology. \n Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning and artificial intelligence. We have a track record of success in deploying AI algorithms for histopathology in translational research, pathology labs and clinical trials.  Rigorous science and careful analysis is critical to the success of everything we do. Our team, composed of diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact on patient outcomes.\n We are seeking an Associate Director, MLOps Lead to join our Machine Learning team. In this position, you will lead the team who is responsible for the backbone of our AI/ML Stack. This is a highly visible role as you will oversee the infrastructure that bridges ML research and massive-scale production. Your primary directive is to evolve our stack to meet the next scale of needs in large scale ML training \u0026 inference workloads.  \n The Associate Director MLOps Lead is someone who enjoys designing and building for reliability, relishes collaboration and technical challenges, and takes pride in making things better.. Our technical space is broad: high-scale AI training \u0026 inference workloads, cloud infrastructure, Kubernetes, observability, distributed systems, and a bit of everything in between.\n The Opportunity:\n This role is critical for driving the scalability and efficiency of our Machine Learning Operations platform with high-impact \u0026 high growth strategic initiatives. \n \n Vision and Roadmap: Develop and execute the long term vision \u0026 roadmap for MLOPs team to support ML development and deployment needs across the business units. Successfully manage the tension between short-term tactical deliveries and long-term architectural transformation for future growth. \n Team Management: Lead and mentor a team of 6-7+ high-performing engineers. Strategically allocate resources to manage support for existing services while executing key strategic initiatives.\n Cross-Functional Collaboration: Partner with leaders across machine learning, data science, product engineering, and infrastructure to proactively identify pain points, address bottlenecks, and facilitate the deployment of new solutions.\n Foundation Model Readiness: Architect the compute and storage pipelines required for ML Engineers to manage millions of slides and complex derived artifacts without data fragmentation or synchronization latency.\n Inference Modernization: Modernize the AI Product inference stack to support 5-10x growth of AI runs across global deployments.\n System Observability: Collaborate with Site Reliability Engineering (SRE) to establish comprehensive metrics covering compute under-utilization, network bottlenecks, and granular cost and turn-around-time attribution.\n Technology Refresh: Conduct \"Build vs. Buy\" assessments, leading \"Stack Refresh\" audits to benchmark our proprietary tools against best-in-class commercial and open-source alternatives to meet our future needs.\n \n Who You Are: (Required)\n \n You have a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience).\n You have 8–10+ years in Software/ML Engineering, with 4+ years managing engineering teams and platform strategy; experience building production-grade frameworks for MLOps or ML Infrastructure.\n You have a proven track record of growing engineering teams, managing team budgets/cloud costs, and driving MLOps platform adoption across multi-disciplinary organization units. \n You have a demonstrated level of deep technical expertise with ML workloads on kubernetes, cloud computing platforms (AWS/GCP/Azure), workflow orchestration (Airflow, Kubeflow, or proprietary equivalents) and DevOps principles and infrastructure-as-code (Helm, Terraform).\n You have demonstrated experience managing petabyte-scale datasets and high-throughput production inference pipelines.\n You have demonstrated strong software engineering skills in complex, multi-language systems and experience with scalable service architecture.\n You have experience using AI assistants (e.g. CoPilot, Cursor, Claude) across platform development lifecycles.\n \n Preferred:\n \n You have experience working with ML frameworks like PyTorch or Scikit-learn.\n You have experience with large-scale data processing frameworks (e.g. Spark, Hive, Databricks, Amazon EMR)\n You have demonstrated expertise in MLOps principles, including model lifecycle management, feature stores, model monitoring, and CI/CD for ML.\n You have a familiarity with security and compliance best practices in ML systems.\n \n This is a hybrid position based in Boston, MA. Relocation benefits are not available for this position.\n The expected salary range for this position based on the primary location Boston, MA","salary_min":181500,"salary_max":278300,"location":"New York, NY","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["healthcare","mlops","distributed-systems","cloud","pytorch","generative-ai","code-generation","machine-learning"],"apply_url":"https://www.pathai.com/careers/8842505002?gh_jid=8842505002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-24T15:02:39Z","expires_at":"2026-11-13T16:55:59.204109Z","created_at":"2026-10-14T15:20:08.592804Z","updated_at":"2026-10-14T16:55:59.207032Z","company_name":"PathAI","company_slug":"pathai","company_logo_url":"https://www.google.com/s2/favicons?domain=www.pathai.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/e2d25645-544e-46b0-a018-8ba88515ba9f"},{"id":"fb82e509-19e5-4dc2-ae8c-71b528954d2c","company_id":"7f070aa1-7d20-4bbe-b6d2-68769923074e","title":"Senior Director, Analytics \u0026 Data Science","slug":"senior-director-analytics-data-science-bbf7d8b0","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\nAs Senior Director of Analytics \u0026 Data Science, you will play a key role in how Crusoe makes decisions. This is a new role leading a newly formed team of centralized analysts and data scientists who are embedded directly with the business units and domains they support. Your mandate spans cloud, customer experience, construction, power, manufacturing, and more. The analytics team owns the business logic, certified data models, and reporting that leadership relies on, and partners closely with our Data team, which owns and maintains the data platform and the ingestion of data from source systems.\n\n\n\nWe are seeking a hands-on leader who is energized by building something from the ground up. The ideal candidate is deeply technical, credible with executives and operators alike, and drawn to complex, cross-functional problems. Reporting into the CFO/COO organization, you will define the operating model, hire and develop the team, set the standards to maintain consistent metrics across the company, and be a key partner to leadership in making faster, better-informed decisions. In the near term, much of the work is foundational — building the data models and definitions that rigorous analysis depends on. As that foundation matures, the team will take on more forecasting, experimentation, and predictive work.\n\n\n\nWhat You'll Be Working On:\n\n - Stand Up the Central Team: Work with leaders across the business to understand their analytical needs, and design the staffing and operating model that meets them. Define how analysts are deployed, how work is prioritized, and how the team engages with each domain.\n\n - Build and Develop the Team: Recruit and grow analysts and data scientists who pair technical depth with business credibility. Build the career path and development model to retain talent.\n\n - Set Standards for Analytical Rigor: Define how the team approaches statistical and modeling work, including experimental design, forecasting, and how uncertainty is communicated to decision-makers. Review your team's methods substantively, and work hands-on where needed.\n\n - Build the Data Science Capability: Determine where predictive and statistical methods will have the most impact and sequence the investment accordingly. Near-term opportunities span power utilization, capacity and demand forecasting, schedule and cost forecasting, fleet reliability, and product experimentation.\n\n - Own Certified Marts and Metric Definitions: Own the business logic, certified data marts, metric dictionary, and business-rule testing that keep metrics consistent across the company. Establish peer review as a standard practice so work is checked by qualified colleagues before it reaches business leaders.\n\n - Own Executive and Cross-Business Reporting: Own certified reporting for the executive team, the board, and questions that span business units, with operational reporting in the business units built on the marts your team certifies.\n\n - Drive High-Stakes Decision Support: Turn the company's most complex, cross-functional questions into clear analysis and recommendations that leadership can act on.\n\n - Build Toward Self-Service: Create the conditions for the business to answer routine questions without routing through an analyst, including the table and field descriptions our data MCP reasons over, on top of certified marts with properly defined metrics.\n\n - Maintain Close Proximity to the Business: Keep analysts embedded in their domains through staff meetings, planning cycles, and shared goals, and align central and business unit priorities so analysts always know what matters most.\n\n - Partner with the Data Team: Collaborate with the Data team on the data foundation, contributing the domain context and business definitions that help new source s","salary_min":310000,"salary_max":355000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["code-generation","data-pipeline","llm","data-science"],"apply_url":"https://jobs.ashbyhq.com/crusoe/a47eea20-0f86-4d60-ab86-4e4f9ad9abc7/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-22T03:59:50.784Z","expires_at":"2026-11-13T16:56:14.621605Z","created_at":"2026-10-14T15:20:22.863893Z","updated_at":"2026-10-14T16:56:14.624478Z","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/fb82e509-19e5-4dc2-ae8c-71b528954d2c"},{"id":"777c1df6-8ea7-416a-b657-3faf2d684416","company_id":"e455f75a-a424-4955-9844-afebe8ea6eb4","title":"Senior Software Engineer, Agent Gateway","slug":"senior-software-engineer-agent-gateway-75c18e59","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 Agent Gateway Team\n The Agent Gateway team owns the identity-aware infrastructure that connects enterprise AI agents to the tools, data, and services their organizations authorize. Every call from Claude, Agentforce, Codex, and internal/homegrown agents to a resource flows through us. We enforce authorization, isolate credentials, mint the right token per target, and produce the audit trails that security teams rely on.\n We are early in a rapidly evolving space. The standards for agent identity (MCP, OAuth token exchange, DCR) are being built under our feet. Our roadmap includes hardening the data plane for on-premises customer deployments, extending policy semantics beyond tool-level allowlists, adding native support for Agent-to-Agent brokered delegation, and scaling to tenants with thousands of virtual MCP servers.\n The Senior Software Engineer Opportunity\n Okta is looking for a Senior Software Engineer to help build the Agent Gateway. You will own features and components across the data and control planes, turning technical designs and product requirements into reliable production systems. Working alongside staff engineers, you will implement token exchange, request routing, credential resolution, and policy evaluation as agent identity specifications evolve.\n This is a hands-on software development role at the intersection of product, security, and infrastructure. You will ship services that handle agentic traffic reliably and performantly at scale.\n What You'll Be Doing\n \n Build and Ship: Own the implementation of gateway features end-to-end — from virtual MCP server aggregation to token exchange and policy evaluation — with tests, observability, and operational readiness built in.\n Work in the Runtime Path: Write code that handles credentials, tokens, tenant isolation, and audit logging with care. The gateway sits in the critical path for customer agent traffic, so correctness and reliability matter on every change.\n Implement the Protocols: Read and implement MCP, OAuth token exchange, and agent identity specifications, and feed production lessons back into designs and reference implementations.\n Ship With Agentic Tooling: Use Claude, Claude Code, and MCP-connected agents as everyday parts of your workflow across design, code generation, code review, and operations.\n Contribute to Quality: Participate in code review, testing, incident response, and our design-doc culture, and help raise the team's engineering bar.\n \n What You'll Bring to the Role\n \n Experience: 4+ years building production backend systems, ideally distributed and highly available.\n Technical Depth: Proficiency shipping production services in Java and/or Go.\n Domain Knowledge: Working knowledge of OAuth 2.0 and OIDC, and comfort reading and implementing spec-driven code. Familiarity with RFC 8693 token exchange is a plus.\n Operational Sense: Hands-on experience with service rollouts, feature flags, observability, and incident response.\n Agentic Fluency: Working familiarity with agentic development tools (e.g., Claude Code, MCP servers, AI-assisted code review), with a point of view on where they accelerate work.\n Communication: Clear written and verbal communication, and the ability to collaborate across a data plane service and a larger identity control plane.\n \n Extra Credit\n \n Experience building or integrating with an MCP server, an agent framework, or an LLM-facing gateway.\n Prior work on multi-tenant SaaS platforms.\n Exposure to identity, authorization, or edge-of-network services.\n Active participation in standards work in the agent identity space (MCP, OAuth, GNAP, DCR).\n Full-stack or frontend experience for the gateway's admin and configuration surfaces.\n \n  \n #P25834_3553922\n Below is the annual salary range for candidates located in Canada. Your actual salary will depend on factors such as your skills, qualifications, and experience. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental, and vision insurance, RRSP with a match, healthcare spending, telemedicine, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program, please visit:  https://rewards.okta.com/can .\n The annual base salary range for this position for candidates located in Canada is between:\n $136,000 — $187,000 CAD \n The Okta Experience \n \n Supporting Your Well-Being  \n Driving Social Impact  \n Deve","salary_min":136000,"salary_max":187000,"location":"Toronto, Canada","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["code-generation","agents","healthcare","llm"],"apply_url":"https://www.okta.com/company/careers/opportunity/8211926?gh_jid=8211926","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-17T19:53:23Z","expires_at":"2026-11-13T16:58:07.29936Z","created_at":"2026-10-14T15:21:47.298464Z","updated_at":"2026-10-14T16:58:07.302361Z","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/777c1df6-8ea7-416a-b657-3faf2d684416"},{"id":"afca5662-836c-4b7e-b347-c9302cb44d5f","company_id":"9f42c3ea-cd86-472e-8b5e-d041b53f16bf","title":"Staff Security Engineer, Enterprise AI","slug":"staff-security-engineer-enterprise-ai-bf0ce0ff","description":"At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.\n The InfoSec team protects Affirm’s systems and data from evolving threats. We manage security risk, monitor vulnerabilities, and enforce protective controls across the company. The team leads incident response, compliance, identity and access management, and employee training. Our goal is to ensure that security is built into every system and decision at Affirm. We maintain a secure, trustworthy environment so the business can operate and grow with confidence.\n In this role, you'll build and run Affirm's end-to-end security review process for enterprise AI/LLM systems evaluating architecture, prioritizing AI-specific risks, and designing the controls and guardrails that let Affirm adopt AI safely, partnering across Security, Legal, Privacy, Compliance, IT, and Engineering to make it scalable and repeatable.\n What you’ll do \n \n You will lead and continuously improve Affirm's enterprise AI security review process  evaluating the architecture, data flows, permissions, and design of internal AI tools, agentic/MCP-based systems, and AI features — and embed security requirements into the design phase.\n You will threat model AI/LLM-based systems and their data flows for risks such as prompt injection, insecure output handling, excessive agency, tool-permission abuse, data poisoning, and sensitive-data exposure, and drive remediation.\n You will review source code, system prompts, agent configurations, and tool/permission manifests (e.g., MCP definitions), and help tool owners build security-focused test cases and red-team/eval scenarios to verify requirements before launch.\n You will design and build security guardrails and tooling for AI systems permission boundaries, authn/authz for agentic tools and MCP servers, data-handling controls, logging/monitoring, and policy-as-code (Python, IaC) — to enforce and automate AI security.\n You will evaluate the AI capabilities of third-party SaaS vendors (e.g., Notion, Slack, Google Workspace) as part of vendor and SaaS security reviews and drive risk-based adoption decisions.\n You will identify emerging classes of AI/agentic security vulnerabilities, develop mitigations before they become incidents, and contribute to AI-specific incident response playbooks as a senior escalation point.\n You will lead cross-functional AI security initiatives to closure, advise technical and executive stakeholders as an internal point of expertise, and stay current on the AI security landscape (OWASP LLM Top 10, MITRE ATLAS) to translate new research into practical controls.\n \n What we look for \n \n You are a seasoned security engineer with hands-on experience designing, evaluating, and maintaining security architecture for AI/LLM-based systems, plus deep expertise in enterprise security systems, processes, and controls.\n You have practical experience threat modeling and reviewing AI/LLM applications (e.g., against the OWASP Top 10 for LLM Applications) and securing agentic systems and tool-calling frameworks — MCP servers/clients, tool-permission models, and agent-to-tool trust boundaries.\n You have built AI governance artifacts (acceptable use policy, data-handling standards, vendor/model risk assessments) and evaluated AI capabilities within SaaS platforms (e.g., Notion AI, Slack AI, Google Workspace AI, GitHub Copilot) as part of vendor reviews.\n You have experience with enterprise tools for AI visibility and control (e.g., CASB, IDP/Okta) and familiarity with the corporate systems where AI is adopted (OpenAI, Anthropic, GitHub, Google Workspace, Slack, Notion, Jira).\n You can build security tooling, guardrails, and detections with Python or similar, and deploy cloud services and policy-as-code using Infrastructure as Code (Terraform or similar); familiarity with Kubernetes and AWS.\n You understand how LLMs and agentic systems are built (RAG, embeddings, fine-tuning, tool use) and authn/authz models (OAuth2, SAML, service-account/non-human identities) for agentic and machine-to-machine access, with strong application-architecture and threat-modeling fundamentals.\n You can lead cross-functional initiatives across Security, Engineering, Legal, Privacy, and Compliance and drive them to closure, and communicate effectively with technical and executive audiences. Experience in regulated environments (SOC 2, PCI DSS) and applying IAM to non-human/agent identities is a plus.\n \n  \n \n \n This posting is for an existing vacancy\n This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan.\n Base Pay Grade  - P\n Equity Grade  - 7\n Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is ","salary_min":173000,"salary_max":233000,"location":"Remote (Canada)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"lead","tags":["fine-tuning","code-generation","llm","agents","security"],"apply_url":"https://job-boards.greenhouse.io/affirm/jobs/7994555003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-15T16:04:17Z","expires_at":"2026-11-13T17:03:10.361841Z","created_at":"2026-10-14T15:25:13.778347Z","updated_at":"2026-10-14T17:03:10.364815Z","company_name":"Affirm","company_slug":"affirm","company_logo_url":"https://www.google.com/s2/favicons?domain=affirm.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/afca5662-836c-4b7e-b347-c9302cb44d5f"},{"id":"9e107208-ccd0-4848-84e4-0109df789912","company_id":"9f42c3ea-cd86-472e-8b5e-d041b53f16bf","title":"Staff Security Engineer, Enterprise AI","slug":"staff-security-engineer-enterprise-ai-d0b11954","description":"At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.\n The InfoSec team protects Affirm’s systems and data from evolving threats. We manage security risk, monitor vulnerabilities, and enforce protective controls across the company. The team leads incident response, compliance, identity and access management, and employee training. Our goal is to ensure that security is built into every system and decision at Affirm. We maintain a secure, trustworthy environment so the business can operate and grow with confidence.\n In this role, you'll build and run Affirm's end-to-end security review process for enterprise AI/LLM systems evaluating architecture, prioritizing AI-specific risks, and designing the controls and guardrails that let Affirm adopt AI safely, partnering across Security, Legal, Privacy, Compliance, IT, and Engineering to make it scalable and repeatable.\n What you’ll do \n \n You will lead and continuously improve Affirm's enterprise AI security review process  evaluating the architecture, data flows, permissions, and design of internal AI tools, agentic/MCP-based systems, and AI features — and embed security requirements into the design phase.\n You will threat model AI/LLM-based systems and their data flows for risks such as prompt injection, insecure output handling, excessive agency, tool-permission abuse, data poisoning, and sensitive-data exposure, and drive remediation.\n You will review source code, system prompts, agent configurations, and tool/permission manifests (e.g., MCP definitions), and help tool owners build security-focused test cases and red-team/eval scenarios to verify requirements before launch.\n You will design and build security guardrails and tooling for AI systems permission boundaries, authn/authz for agentic tools and MCP servers, data-handling controls, logging/monitoring, and policy-as-code (Python, IaC) — to enforce and automate AI security.\n You will evaluate the AI capabilities of third-party SaaS vendors (e.g., Notion, Slack, Google Workspace) as part of vendor and SaaS security reviews and drive risk-based adoption decisions.\n You will identify emerging classes of AI/agentic security vulnerabilities, develop mitigations before they become incidents, and contribute to AI-specific incident response playbooks as a senior escalation point.\n You will lead cross-functional AI security initiatives to closure, advise technical and executive stakeholders as an internal point of expertise, and stay current on the AI security landscape (OWASP LLM Top 10, MITRE ATLAS) to translate new research into practical controls.\n \n What we look for \n \n You are a seasoned security engineer with hands-on experience designing, evaluating, and maintaining security architecture for AI/LLM-based systems, plus deep expertise in enterprise security systems, processes, and controls.\n You have practical experience threat modeling and reviewing AI/LLM applications (e.g., against the OWASP Top 10 for LLM Applications) and securing agentic systems and tool-calling frameworks — MCP servers/clients, tool-permission models, and agent-to-tool trust boundaries.\n You have built AI governance artifacts (acceptable use policy, data-handling standards, vendor/model risk assessments) and evaluated AI capabilities within SaaS platforms (e.g., Notion AI, Slack AI, Google Workspace AI, GitHub Copilot) as part of vendor reviews.\n You have experience with enterprise tools for AI visibility and control (e.g., CASB, IDP/Okta) and familiarity with the corporate systems where AI is adopted (OpenAI, Anthropic, GitHub, Google Workspace, Slack, Notion, Jira).\n You can build security tooling, guardrails, and detections with Python or similar, and deploy cloud services and policy-as-code using Infrastructure as Code (Terraform or similar); familiarity with Kubernetes and AWS.\n You understand how LLMs and agentic systems are built (RAG, embeddings, fine-tuning, tool use) and authn/authz models (OAuth2, SAML, service-account/non-human identities) for agentic and machine-to-machine access, with strong application-architecture and threat-modeling fundamentals.\n You can lead cross-functional initiatives across Security, Engineering, Legal, Privacy, and Compliance and drive them to closure, and communicate effectively with technical and executive audiences. Experience in regulated environments (SOC 2, PCI DSS) and applying IAM to non-human/agent identities is a plus.\n \n  \n Base Pay Grade - P\n Equity Grade - 13\n Employees new to Affirm typically come in at the start of the pay range.  Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (incl","salary_min":195000,"salary_max":255000,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"lead","tags":["fine-tuning","llm","agents","security","code-generation"],"apply_url":"https://job-boards.greenhouse.io/affirm/jobs/7994553003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-15T16:04:15Z","expires_at":"2026-11-13T17:03:10.354579Z","created_at":"2026-10-14T15:25:13.774158Z","updated_at":"2026-10-14T17:03:10.360167Z","company_name":"Affirm","company_slug":"affirm","company_logo_url":"https://www.google.com/s2/favicons?domain=affirm.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/9e107208-ccd0-4848-84e4-0109df789912"},{"id":"39a9862d-cbf2-4a6f-a6d6-e954fa2adc4c","company_id":"ec4a8bb4-3840-4054-8ccd-77e81db037af","title":"Forward Deployed Engineer,  New Grad 2027","slug":"forward-deployed-engineer-new-grad-2027-b1800fc2","description":"C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI \n C3 AI is seeking early professional Forward Deployed Engineers. As an Forward Deployed Engineer, you will design, develop, and deploy AI-based enterprise applications at scale on the C3 Agentic AI Platform through hands-on, customer-facing engagements, including demonstrations, proofs-of-technology, trials, and production applications. This is a full-stack software engineering role with direct customer exposure.\n This role is open to candidates graduating in December 2026 or Summer/Fall 2027. \n Responsibilities \n \n Design, develop, and maintain performant and scalable applications on the C3 Agentic AI Platform.\n Build and improve tools that help users understand and analyze large-scale data.\n Perform debugging, troubleshooting, modifications, and unit testing of customer applications and solutions.\n Assess technical risks and formulate mitigation strategies.\n Develop specifications, technical documentation, and user support guides.\n Support technical demonstrations, proofs-of-technology, and customer training sessions alongside senior engineers.\n \n Qualifications \n \n Pursuing or recently completed a Bachelor of Science or Master of Science in Computer Science, Computer Engineering, or a related field.\n Experience with Python, JavaScript, Java, or other object-oriented programming languages.\n Hands-on experience with data structures, algorithms, cloud computing, relational or NoSQL databases, and profiling \u0026 optimization.\n Familiarity with agentic AI architectures, prompt engineering, or the fundamentals of LLM tool calling and function execution.\n Analytical and problem-solving mindset, with a passion for solving complex engineering in collaboration with a team.\n Ability to operate with high autonomy in a fast-paced and dynamic environment.\n Strong verbal and written communication skills to collaborate effectively and scale your impact across teams.\n Thrives in a fun, friendly, and intellectually stimulating team culture.\n Ability to travel as needed.\n \n Preferred qualifications \n \n Experience with JavaScript frameworks such as React, Redux, Vue, Backbone, or Angular.\n Experience with Git or other version control software.\n Prior internship or project experience deploying applications at scale.\n Experience using modern developer AI workflows (e.g., Cursor, GitHub Copilot, Claude Code) and understanding how they interact with underlying execution environments.\n C3 AI provides excellent benefits, a competitive compensation package and generous equity plan.  \n California Base Pay Range\n $120,000 — $150,000 USD \n C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.","salary_min":120000,"salary_max":150000,"location":"Redwood City, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["code-generation","llm","agents","generative-ai"],"apply_url":"https://c3.ai/job-description/8804558002?gh_jid=8804558002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-14T16:19:00Z","expires_at":"2026-11-13T16:58:24.153371Z","created_at":"2026-10-14T15:22:03.076727Z","updated_at":"2026-10-14T16:58:24.157123Z","company_name":"C3 AI","company_slug":"c3-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=c3.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/39a9862d-cbf2-4a6f-a6d6-e954fa2adc4c"},{"id":"6c12996a-4de9-4056-b34c-7f7e575a8ab7","company_id":"a368ef00-6d23-4c49-8a6d-976a4e82eb89","title":"Senior/Staff Software Engineer, ML Ops","slug":"senior-software-engineer-ml-ops-85540676","description":"PathAI's mission is to improve patient outcomes with AI-powered pathology. \n PathAI is transforming traditional pathology methods into powerful, new technologies. These innovations in pathology can help accelerate drug development, improve confidence in the accuracy of diagnosis, and get life-saving therapies to patients more quickly. At PathAI, you'll work with a diverse and talented team of people, who are dedicated to solving complex problems and making a huge impact. \n We are seeking a highly skilled Senior Software Engineer (MLOps) . In this position, you play a key role in designing, developing, and scaling machine learning infrastructure that powers our enterprise AI systems. You’re someone who enjoys designing and building for reliability, relishes collaboration and technical challenges, and takes pride in making things work better.\n The Opportunity \n \n You will architect and build infrastructure and automation, in AWS and on-premises, to support ML application development and deployment\n You will drive system design and lead architectural discussions for our MLOps suite, ensuring it meets performance, security, and compliance requirements.\n You will lead technical initiatives by researching, evaluating, and implementing new MLOps tools, frameworks, and best practices.\n You will collaborate with machine learning engineers, data scientists, product engineering, and infrastructure teams to bridge the gap between research and production.\n You will optimize ML workflows, ensuring models are efficiently and reproducibly deployed \u0026 monitored.\n You will champion engineering excellence by enforcing high coding standards, conducting design reviews, and mentoring junior engineers.\n You will automate ML operations, including CI/CD for ML models, feature engineering pipelines, and deployment strategies using Kubernetes, Airflow, and other orchestration tools.\n \n Who You Are: (Required) \n \n You have a BS or Master’s in Computer Science, Computer Engineering, Software Engineering or closely related field.\n You have 5+ years of software engineering experience for Senior or 8+ years for Staff , with a focus on building production-grade frameworks or applications\n You have strong software engineering skills in complex, multi-language systems and experience with scalable backend architecture.\n You have experience with Kubernetes and cloud computing platforms (AWS preferred).\n You have experience with observability and monitoring tools (e.g., Prometheus, Grafana, Datadog).\n You have a solid understanding of DevOps principles and infrastructure-as-code (Helm, Terraform).\n You have experience owning development platforms and serving internal customers\n You have a solid level of proficiency in Python + exposure to additional languages\n \n Preferred: \n \n You have experience with ML frameworks like PyTorch or Scikit-learn.\n You have experience with data workflow orchestration frameworks (e.g., Airflow, Kubeflow).\n You have expertise in MLOps principles , including model lifecycle management, feature stores, model monitoring, and CI/CD for ML.\n You have experience with streaming data processing (Kafka, Flink, or Spark Streaming).\n You have a solid level of familiarity with security and compliance best practices in ML systems.\n You have experience using AI assistants (e.g. CoPilot, Cursor) in development.\n You have outstanding interpersonal, verbal, and written communication and influencing skills: have built and cultivated important relationships both inside and outside of the organization and externally; have proven abilities to influence internal partners and stakeholders, thought leaders, national advocacy  organizations, national standard-setting bodies, and other relevant external parties.\n You have strong analytical and critical thinking skills with attention to detail; you have the ability to manage multiple projects and drive results in a fast-paced environment; you have a collaborative mindset with demonstrated leadership capabilities.\n \n This is a hybrid position based in Boston, MA. (A remote option may be considered for an exceptional candidate.) Relocation benefits are not available for this position.\n The expected salary range for this position based on the primary location Boston, MA is $127,500 - $195,500 at the Senior level and $146,250 - $224,250 at the Staff level.  Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law.  \n PathAI is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.","salary_min":146250,"salary_max":224250,"location":"Boston, MA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["cloud","mlops","pytorch","code-generation","machine-learning"],"apply_url":"https://www.pathai.com/careers/8769653002?gh_jid=8769653002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-12T03:13:49Z","expires_at":"2026-11-13T16:55:59.234789Z","created_at":"2026-09-12T13:34:54.743472Z","updated_at":"2026-10-14T16:55:59.237774Z","company_name":"PathAI","company_slug":"pathai","company_logo_url":"https://www.google.com/s2/favicons?domain=www.pathai.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/6c12996a-4de9-4056-b34c-7f7e575a8ab7"},{"id":"f10f64d7-f8a5-4571-a187-45af27854956","company_id":"63839083-85dd-4aa0-b128-254fc82866e5","title":"Senior / Staff Software Engineer, AI Tooling","slug":"senior-staff-software-engineer-ai-tech-strike-team-35cabfe6","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.\n \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\nThe latest advances in AI tooling is fundamentally changing all teams' ways of working - from ML model development, to traditional software development, to non-technical business functions. We are building a dedicated AI Technical Strike Team to establish centralized best practices for working with AI across Waabi with the aim of maximizing productivity. We are looking for hands-on senior software engineers to build the AI tooling, agents, and workflows that accelerate how we work. As a Software Engineer on the AI Tech Strike Team, you will design, build, and ship the tools that compound the productivity of every team at Waabi. The team will own a mix of core tooling work and deployed engagements, where members of the team work closely with functions across Waabi to understand their pain points and co-design AI workflows to maximize productivity.\nYou will...\nDesign, build, and ship custom internal tooling, agents, and workflows tailored to Waabi — supporting our autonomy codebase, simulation environments, ML training pipelines, and research workflows, as well as agents and automations for business teams.\nIntegrate and extend third-party AI tools — from coding assistants and agents (e.g., Claude Code, Cursor, GitHub Copilot) to AI tools for non-engineering functions — building the integrations, configurations, and internal extensions that make them work well for Waabi.\nEvaluate new AI tools, models, and agent frameworks as they emerge, run structured pilots, and provide clear technical recommendations that inform build-vs-buy decisions.\nPartner directly with engineers, researchers, and business teams to understand their workflows, prototype solutions quickly, and iterate based on real usage.\nBuild observability around AI tooling at Waabi — tracking usage, adoption, cost, and quality — so we can prioritize with data and understand impact.\nImplement the guardrails for responsible AI tooling at Waabi in partnership with Security, Legal, IT, and Infrastructure.\nDrive adoption of the tools you build through documentation, enablement, office hours, and hands-on support — helping every team get more out of their tools every week.\nQualifications:\n5+ years of software engineering experience, with a track record of shipping tools, platforms, or products used by large internal or external user bases.\nDeep, hands-on familiarity with the current generation of AI coding tools and agents (Claude Code, Cursor, Copilot, Codex, or similar), and demonstrated experience building and shipping AI-powered products, agents, or workflows — including prompt engineering, evals, tool use, and integrating LLMs into production systems.\nStrong proficiency in Python (or another common programming language), and comfort working across modern build systems, CI/CD pipelines, and developer infrastructure.\nStrong product instincts and judgment: you can identify high-leverage problems across a diverse set of teams, scope pragmatic solutions, and ship things that actually get adopted.\nStrong written and verbal communication skills, comfortable operating with a high degree of autonomy in ambiguous, fast-moving territory and influencing engineers, researchers, and business partners.\nPassionate about self-driving technologies, frontier AI, and using AI to push the boundary of what a small, world-class team can accomplish.\nBonus/nice to have:\nPrior experience in a developer productivity, platform engineering, or AI tooling role, ideally with exposure to ML, robotics, or autonomous systems infrastructure (e.g., training pipelines, simulation tooling, large monorepos).\nExperience working effectively with non-engineering stakeholders — translating business workflows into technical solutions for functions like Finance, Commercial, Marketing, HR, Legal, and Operations.\nExperience building AI workflows or automation for business functions outside of engineering (e.g., finance automation, marketing operations, HR workflows).\nExperience deploying and operating AI systems in security- and IP-sensitive environments.\nContributions to open-source AI tooling, agent frameworks, or developer tools.\n","salary_min":165000,"salary_max":265000,"location":"Toronto, Canada","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["code-generation","robotics","agents","autonomous-vehicles","llm"],"apply_url":"https://jobs.lever.co/waabi/2af36079-94fb-423d-a2b6-10b3a1ad5aa3/apply","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-11T21:25:46.105Z","expires_at":"2026-11-13T16:56:19.828369Z","created_at":"2026-09-12T13:35:46.485732Z","updated_at":"2026-10-14T16:56:19.831594Z","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/f10f64d7-f8a5-4571-a187-45af27854956"},{"id":"72c4ac64-99b6-466c-9fdb-dc87568a7b45","company_id":"dc461dc0-20f9-4429-a009-6cb473fc466c","title":"Security Operations Engineer","slug":"security-operations-engineer-3e7f8f2e","description":"Why AssemblyAI \n AssemblyAI builds the best-in-class Voice AI models powering the next generation of voice applications. Our models serve 600M+ inference calls monthly, process 1M+ hours of audio daily, and power 2 billion+ end-user experiences. The Voice AI space is at an inflection point; we’re looking for folks truly excited to join a small team and help define the future of the industry.\n We are one of the most capital-efficient AI companies on the planet - with under 100 people generating roughly $600K ARR per employee, we sit among the top 5 most revenue-dense teams within the fastest-growing AI companies today. That's not an accident; it's a deliberate choice to stay lean, move fast, and give every person on the team outsized ownership and impact. With thousands of customers including Granola, Fireflies, Figure AI, and CallRail, the company has real scale - processing over 2 million hours of audio daily and handling more than 1 million API calls every day. This is a rare growth-stage opportunity where the business is proven and the trajectory is steep, but the team is still small enough that your fingerprints are on everything.\n If you've ever felt buried under layers of bureaucracy, starved of real ownership, or frustrated watching your work disappear into a slow-moving org, AssemblyAI is built differently. The company operates as a true meritocracy, with no heavy planning or approval processes and no gatekeeping on the tools or information you need. For anyone who genuinely cares about voice AI, not as a trend to chase, but as a technology to build,  this is the place where the most interesting problems at the most interesting scale are being solved by a team small enough that you'll actually know everyone's name.\n We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. No matter your race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply!\n About the role: \n AssemblyAI runs a mature, multi-framework security and compliance program—including SOC 2 (all trust criteria), ISO 27001, and PCI 4.0—that protects the infrastructure and customer data behind our industry-leading Voice AI API. We're hiring a Security Operations Engineer to join our IT \u0026 Security team and take day-to-day ownership of the operational backbone of that program.\n This role is centered on security operations and GRC: running compliance audit cycles end to end, gathering and organizing evidence, enforcing and verifying controls, executing access reviews, managing vulnerability triage and remediation follow-up, and responding to customer security questionnaires. It's the work that turns a security program on paper into one that demonstrably runs. You'll also have room to grow the technical side of the role. We automate wherever we can, and you'll be encouraged to build scripts, integrations, and tooling that reduce manual toil and improve the program.\n This is a high-ownership role on a small team. You'll work closely with engineers across the company, partner with sales and legal on customer-facing security needs, and have a direct hand in how AssemblyAI enforces security across its products, infrastructure, and internal tools—including a rapidly growing landscape of agentic AI development.\n What You'll Do: \n \n Drive SOC 2, ISO 27001, PCI 4.0, and other compliance audit cycles: gather and organize evidence, document, design, and build controls, coordinate directly with auditors through fieldwork, and collaborate with internal teams on remediation.\n Own the compliance automation platform (Vanta): monitor control status, chase down failing checks, keep integrations healthy, and update the risk register as the business and infrastructure evolve.\n Run vendor and third-party risk reviews, security assessments of new tools, periodic re-reviews, and track subprocessor and vendor inventories.\n Partner with sales and legal responding to customer and vendor security questionnaires, RFP security sections, and trust-and-safety inquiries.\n Drive vulnerability triage and prioritization across teams, tracking remediation against SLAs and reporting metrics to stakeholders.\n Monitor and respond to alerts from endpoint, cloud, identity, and application security tools; investigate, escalate, and close the loop.\n Support incident response for security events: evidence collection, timeline construction, documentation, and tracking of post-incident action items.\n Maintain and improve security runbooks, process documentation, and operational playbooks.\n Build automation to reduce the manual burden via scripts, integrations, reporting, and tooling.\n \n What You'll Need: \n \n 3+ years of experience in security operations, GRC, IT security, or a related role\n 2+ years of experience with compliance audit cycles—you've gathered evidence, documented controls, and w","salary_min":180000,"salary_max":220000,"location":"United States","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["llm","security","cloud","agents","speech","code-generation"],"apply_url":"https://job-boards.greenhouse.io/assemblyai/jobs/4732736005","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-10T16:21:07Z","expires_at":"2026-11-13T16:55:57.250194Z","created_at":"2026-09-12T13:34:49.099908Z","updated_at":"2026-10-14T16:55:57.253186Z","company_name":"AssemblyAI","company_slug":"assemblyai","company_logo_url":"https://www.google.com/s2/favicons?domain=assemblyai.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/72c4ac64-99b6-466c-9fdb-dc87568a7b45"},{"id":"3098d7fe-9844-4077-87c6-d515093dabf4","company_id":"a0000000-0000-0000-0000-000000000001","title":"Salesforce Developer","slug":"salesforce-developer-e2b7e7c8","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the role \n As a Salesforce Developer at Anthropic, you will design, build, and maintain the Salesforce platform that powers our core customer motions and quote-to-cash business.: This includes automation throughout the Salesforce platform ranging from core sales automation to product catalog and pricing, quoting and approvals, order and contract management, and the handoff to billing and provisioning. You'll work both autonomously and collaboratively across RevOps, Order Management, Legal, Billing Engineering, Deal Desk, Finance and Accounting, and Product to translate pricing and packaging requirements into scalable Apex, Flow, and integration solutions, and to extend our capabilities with custom code where necessary. We are an AI-first systems team, and you'll be expected to use Claude and our in-house AI development tooling as a core part of how you write, review, and ship code, always against our house standards for flexibility, maintainability, and scale.\n Where you might sit \n We're hiring across more than one team. Placement depends on your background and where you can have the most impact.\n GTM Systems: Builds and runs the Salesforce platform and connected tools that Anthropic's sellers, sales leaders, and revenue operations teams rely on every day. You'd build the automation behind how deals move through the pipeline, how leads and accounts reach the right owner, and how information flows between our sales tools and the rest of the business. You'll work directly with the analysts and operators who define the process, and see the impact on the people who use what you ship.\n QTC Experiences: A vertically integrated team that spans quoting through to provisioning agreements, as well as customer billing experiences over the term of their agreement. You'd build the foundational systems for CPQ, order management, provisioning and billing experiences, envisioning how we make our sellers and ops teams orders of magnitude more efficient with Claude. You'll work cross-functionally with GTM, finance, accounting and other stakeholders. Your work will directly impact seller velocity and our GTM deal making capacity.\n Key responsibilities \n \n Develop and maintain Apex (triggers, services, selectors, batch/queueable), Lightning Web Components, and Flow automation following our house Apex standards and trigger framework\n Design and build quote-to-cash infrastructure in Salesforce, including the product catalog and pricing data model, quote and order lifecycle, discount and approval automation, and amendment, renewal, and co-termination flows\n Extend CPQ and expand into agentic selling with custom pricing and quote-calculation logic, quote and order user experiences, and code built against the package's APIs and data model\n Build and own integrations between Salesforce and our billing, provisioning, and finance systems, such as Stripe, Metronome, and NetSuite, directly or via middleware\n Support new product and pricing launches by modeling catalog, SKU, and pricing changes so they can be released quickly and reflected consistently in every downstream system\n Use Claude and our internal AI development tooling as a first-class part of your build and code-review workflow\n Partner with Business Systems analysts and Finance to ensure data-model decisions support downstream bookings, forecasting, and revenue reporting\n Partner with DevOps on release management for your work: sandbox strategy, source control, peer review, and deployment via SFDX/metadata tooling\n Ensure appropriate controls, test coverage, and documentation are in place for an effective control environment, particularly around pricing, discounting, and contract changes\n Operate with ambiguity in a rapidly changing business, resolve problems independently, and propose solutions that scale\n \n Minimum qualifications \n \n Hands-on Salesforce development experience (Apex, SOQL, LWC, Flow) in a production org\n Experience building or extending CPQ and quote-to-cash functionality in Salesforce (Salesforce CPQ, Revenue Cloud, Nue, or similar): product and pricing data models, quote and order lifecycle, approval automation, and amendments and renewals, including custom code written against the CPQ package rather than configuration alone\n Experience integrating Salesforce with billing, ERP, or provisioning systems via REST/Bulk APIs, middleware (Workato, Mulesoft, or similar), or direct callouts\n Fluency with SFDX, source-controlled metadata, and a sandbox-to-prod release process with peer review\n Active use of AI-assisted development tools (Claude, Copilot, Cursor, or similar) as part of how you write and review code, and t","salary_min":270000,"salary_max":315000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["alignment","code-generation","agents","payments","data-pipeline"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5413374008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-09T00:26:16Z","expires_at":"2026-11-13T16:54:56.371012Z","created_at":"2026-09-09T13:30:33.190442Z","updated_at":"2026-10-14T16:54:56.374031Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/3098d7fe-9844-4077-87c6-d515093dabf4"}],"page":1,"per_page":20,"total":270,"total_is_exact":true,"total_pages":14}