Product Manager, Software Factory

Vercel is an agentic infrastructure company helping people and agents build and run software. The Product Manager will own Software Factory, an AI-agent product area that automates continuous software maintenance and improvement while preserving human judgment. The role is responsible for product strategy, workflow design, trust and quality standards, integrations, repository context, and customer adoption.

Responsibilities:

• Own the product vision, strategy, and multi-year roadmap for Software Factory
• Define the workflow model — how work moves through classification, analysis, implementation, and review, and where the handoff back to a person belongs
• Own the trust and quality bar: evals, verification, retry behavior, and what the factory is permitted to touch without human approval
• Define how factories integrate with where engineering work already lives, including GitHub and Linear, and with agent harnesses such as Codex and Claude Code. And define new dedicated surfaces for how to interact with factory agents
• Shape the memory and context model that lets a factory accumulate real knowledge of a repository over time
• Work directly with design partners and Enterprise customers adopting factories against their own codebases

Requirements:

• You've worked on developer tooling products, ideally CI/CD, code review, developer productivity, or AI coding tools
• You have deep hands-on experience with coding agents and a substantiated point of view on where they succeed and where they fail today
• You have the technical depth to reason about agent orchestration, evals, context management, and sandboxed execution
• You have owned a platform area that other product teams build on, and set technical direction others adopted
• You have experience with products whose output is probabilistic, including defining acceptance bars and measuring quality over time
• You have experience working directly with design partners or Enterprise customers on adopting new engineering workflows
• Have worked on multi-agent systems or agent orchestrators
• Have worked on evals or systematic measurement of AI output quality
• Have worked on products adopted bottom-up by individual developers before spreading to teams
• Have run or operated a large open-source project