Senior Product Manager, Developer Productivity - AI-Native
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WebflowWeb Marketing Platform
Remote-first (United States; BC & ON, Canada)Full-TimeSenior
Salary139000 - 225000 USD per year
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Job Details
- Experience
- 3+ years
- Required Skills
- Artificial IntelligenceCI/CD
Requirements
- BA/BS degree or equivalent experience
- 3+ years of product management experience
- Hands-on engineering background (shipped production code) OR direct PM ownership of a developer experience, developer productivity, or platform/infrastructure product.
- Can read code, engage substantively with a technical architecture doc, and hold your own in a room full of engineers.
- Direct familiarity with developer tooling: CI/CD systems, build pipelines, observability platforms, local dev environments.
- Fluent in developer productivity metrics (DORA measures, cycle time).
- Hands-on experience with AI and agentic systems (LLM-based tools).
- Execute with speed and precision, manage ambiguity, and make calls without waiting for perfect information.
- Resilient and self-directed.
- Communicate clearly in writing, making technical tradeoffs legible to non-technical stakeholders.
- Stay curious and actively build fluency in emerging AI technologies.
Responsibilities
- Translate engineering team needs and pain points into a clear, prioritized roadmap, working closely with your engineering counterparts to keep the team focused on the highest-impact work.
- Track and report on the metrics that reflect developer experience health, using data and qualitative insights to surface bottlenecks, measure progress, and make the case for what the team should work on next.
- Partner with engineers, TPMs, and cross-functional stakeholders to scope and deliver platform improvements that reduce friction across CI/CD, build systems, developer environments, and observability.
- Write crisp specs and requirements that give engineers what they need to move fast - clear problem framing, explicit success criteria, and well-defined tradeoffs.
- Evaluate and champion the integration of AI and agentic tooling into developer workflows.
- Communicate platform health, progress, and tradeoffs to engineering leadership and cross-functional partners with consistency and clarity.
- Keep feedback loops tight — between engineers using the platform and the team building it.
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