Staff Product Manager - Software Factory & Agents

Vercel is the agentic infrastructure company, freeing developers and autonomous AI agents to ship what's next. Trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide, Vercel empowers builders to move from idea to production with speed, security, and exceptional developer experience.

As Product Manager, Software Factory, you will own a strategic new product domain that deploys AI agents across every stage of the software development lifecycle: issue triage, planning, code writing, and automated verification—while keeping human developers on high-leverage judgment calls. Automating continuous software maintenance (bug fixes, feature additions, performance tuning, security mitigations, code quality, and test coverage), you will define agent orchestration models, evals, repository memory, and integrations with developer environments like GitHub, Linear, Codex, and Claude Code.

Key Responsibilities

• Product Strategy & Multi-Year Vision: Own the product vision, strategic positioning, and multi-year execution roadmap for Vercel’s Software Factory product line.
• Agent Workflow Architecture: Define how work moves through classification, issue analysis, implementation, and automated testing, establishing explicit human-in-the-loop review boundaries.
• Trust, Evals & Quality Standards: Establish trust frameworks, automated verification suites, retry logic, evaluation metrics (evals), and permission boundary models governing what software factories can modify without human intervention.
• Repository Context & Memory Models: Shape the repository context and memory architectures that allow software factory agents to build up persistent domain knowledge over codebase history.
• Developer Ecosystem Integrations: Define how factory agents integrate into existing issue tracking systems (GitHub, Linear) and agent harnesses (Codex, Claude Code), while architecting new dedicated UIs for interacting with factory agents.
• Design Partner & Enterprise Engagement: Collaborate directly with early design partners and enterprise engineering organizations implementing factory agents on proprietary codebases.

Requirements

Technical Product Management & AI Agent Depth

• 8+ years of progressive product management experience, with a heavy emphasis on developer tooling (CI/CD, code review, developer productivity, or AI-assisted coding products).
• Hands-On AI Agent Fluency: Practical experience using AI coding agents, with the ability to articulate architectural failure modes, latency constraints, and reliability gaps in current models.
• AI Infrastructure Depth: Technical depth in agent orchestration, eval frameworks, context management, and sandboxed execution environments.
• Platform Strategy Record: Demonstrated track record of owning an enterprise platform area that other product teams build upon, establishing technical standards adopted across organizations.
• Probabilistic System Product Management: Proven experience building products with probabilistic outputs, defining acceptance thresholds, and measuring quality over time.
• Customer Alignment: Direct experience partnering with design partners and enterprise accounts to drive adoption of novel engineering workflows.

Preferred Qualifications

• Experience designing or building multi-agent systems, agent orchestrators, or autonomous execution graphs.
• Track record of shipping developer tools that achieve bottom-up adoption with individual software engineers before scaling enterprise-wide.
• Practical experience running, maintaining, or contributing to major open-source projects.

Total Rewards & Benefits

• Compensation & Equity: San Francisco base salary range ($208,000 – $312,000 USD) + board-approved equity packages + bonus program eligibility.
• Healthcare & Wellbeing: Inclusive medical, dental, and vision healthcare coverage.
• Professional Growth & Networking: Mentorship programs and sponsored travel/attendance at technical conferences and industry events.
• Workspace & Equipment: High-end technical hardware setup + dedicated work-from-home budget to outfit your home office setup.