Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences. They are seeking a Senior Product Manager to partner with the Developer Productivity engineering team, focusing on enhancing the developer experience through various systems and integrating AI into the workflow.
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. You’ll use 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. You’ll assess what actually creates leverage versus what’s noise, and help the team build a point of view on where these tools belong
- 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
Requirements:
- BA/BS degree or equivalent experience
- 3+ years of product management experience, with at least one of the following: a hands-on engineering background (you've shipped production code) or direct PM ownership of a developer experience, developer productivity, or platform/infrastructure product
- Ability to 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
- Fluency in developer productivity metrics — knowledge of what DORA measures, why cycle time matters as a leading indicator, and how to tell signal from noise in platform health data
- Hands-on experience with AI and agentic systems — understanding how LLM-based tools fit into developer workflows, where they break down, and how to evaluate them with rigor rather than hype
- Ability to execute with speed and precision in a high-velocity environment, manage ambiguity without stalling, and make calls without waiting for perfect information
- Resilience and self-direction in platform work with long feedback loops and low external visibility
- Clear communication in writing — ability to make technical tradeoffs legible to non-technical stakeholders without losing the nuance
- Curiosity and openness to growth — demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact