We are looking for a Staff AI Platform Engineer to join the Development Platform team, which is responsible for accelerating our R&D velocity and elevating product quality.
We need a pragmatic systems thinker who is deeply passionate about Developer Tools (DevTools) and the future of generative AI. You can architect a distributed LLM workflow in the morning, and influence engineering behavior across the entire org in the afternoon.
In this role, you will enable 200+ engineers to safely and reliably leverage agentic AI.
What You'll Do:
Scale Quality, Not Just Code Volume: Solve the hard problem of AI-driven quality by building rigorous measurement frameworks, ensuring that an AI-accelerated org delivers better software, not just more software.
Establish AI Governance & Security: Architect guardrails around LLM usage, data privacy, and cost management, ensuring 200+ engineers can innovate rapidly without compromising compliance or security.
Optimize the SDLC: Embed autonomous workflows, coding agents, and tool/context design directly into the developer lifecycle to supercharge R&D velocity.
Drive Org-Wide Adoption: Act as a force multiplier, leading the organizational rollout of AI developer tooling and setting production best practices across teams.
Build Agentic Infrastructure: Design and deploy production-grade multi-agent systems, tackling complex challenges like parallel session isolation, subagent delegation, and self-improving feedback loops.
We need a pragmatic systems thinker who is deeply passionate about Developer Tools (DevTools) and the future of generative AI. You can architect a distributed LLM workflow in the morning, and influence engineering behavior across the entire org in the afternoon.
In this role, you will enable 200+ engineers to safely and reliably leverage agentic AI.
What You'll Do:
Scale Quality, Not Just Code Volume: Solve the hard problem of AI-driven quality by building rigorous measurement frameworks, ensuring that an AI-accelerated org delivers better software, not just more software.
Establish AI Governance & Security: Architect guardrails around LLM usage, data privacy, and cost management, ensuring 200+ engineers can innovate rapidly without compromising compliance or security.
Optimize the SDLC: Embed autonomous workflows, coding agents, and tool/context design directly into the developer lifecycle to supercharge R&D velocity.
Drive Org-Wide Adoption: Act as a force multiplier, leading the organizational rollout of AI developer tooling and setting production best practices across teams.
Build Agentic Infrastructure: Design and deploy production-grade multi-agent systems, tackling complex challenges like parallel session isolation, subagent delegation, and self-improving feedback loops.
Requirements:
Deep GenAI Expertise: Hands-on experience building production-ready autonomous agent pipelines, coding agents, and complex LLM workflows.
DevTools Passion: A genuine obsession with developer experience, productivity tools, and modern engineering automation.
Staff+ Influence: Proven track record of driving technical adoption and shifting engineering culture across large teams (~200+ engineers).
Founders Pragmatism: A background (e.g., former CTO, Tech Lead, or Platform EM) that balances a "ship-fast" mentality with rigorous systems thinking.
Deep GenAI Expertise: Hands-on experience building production-ready autonomous agent pipelines, coding agents, and complex LLM workflows.
DevTools Passion: A genuine obsession with developer experience, productivity tools, and modern engineering automation.
Staff+ Influence: Proven track record of driving technical adoption and shifting engineering culture across large teams (~200+ engineers).
Founders Pragmatism: A background (e.g., former CTO, Tech Lead, or Platform EM) that balances a "ship-fast" mentality with rigorous systems thinking.
This position is open to all candidates.
