Senior Product Manager, AI Platform and Developer Productivity
$208,000–$327,750 year
Remote · Seattle, Washington, United States or California, United States
Job Summary
Define product strategy and execution across a portfolio of AI platform initiatives, translating ambiguous technical challenges into clear problem statements, product direction, and roadmaps. Develop deep empathy for internal developers and engineering teams, turning user challenges into intuitive, high-impact platform capabilities. Drive roadmap planning across short- and long-term horizons, balancing customer impact, technical feasibility, scalability, and strategic business priorities. Identify opportunities for AI-powered tooling, agentic automation, and developer productivity improvements with measurable adoption and operational impact. Establish product success metrics and use data-driven insights to refine prioritization, feature scope, and user experience. Champion developer experience and UX quality by understanding engineering workflows and trust dynamics in AI-assisted tooling. Communicate strategy and trade-offs across technical and executive audiences. Lead cross-functional collaboration across engineering, infrastructure, architecture, and design teams to drive alignment in a matrixed environment.
Required Qualifications
- BS or MS in Computer Engineering, Computer Science, or a related technical field, or equivalent experience
- 12+ years of product management experience building developer platforms, infrastructure products or AI/ML systems at scale
- Experience leading products that incorporate LLM-powered agents, autonomous workflows or AI-accelerated developer experiences
- Strong technical depth in AI/ML infrastructure, including distributed training, inference optimization, GPU-accelerated computing, and large-scale systems performance
- Experience defining and delivering observability, telemetry, profiling, or performance tooling for engineering organizations
- Proven experience in fostering adoption of complex developer-facing products across large organizations
- Deep familiarity with modern SDLC tooling and developer workflows across build, test, deployment, and runtime environments
- Outstanding systems thinking with capacity to reason across the stack - from hardware and infrastructure layers through APIs, platforms, and end-user developer experiences
- Excellent written and verbal communication; able to distill ambiguous technical problems into clear product narratives
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