The job, in the employer's words
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the Role:
We are looking for a Product Manager to join our Product team. You will own Software Factory, a new product area that puts AI agents on every stage of the development loop — triaging an issue, planning it, writing the code, and checking the result — while keeping people on the judgment calls. Human time and human attention has become the bottleneck, and the opportunity is to move towards automation of continuous software maintenance and improvement. You will define how agents help fix bugs, implement features, improve performance, mitigate security issues, improve code quality, and increase test coverage. You will report to the Product Lead and will be located in San Francisco, CA (hybrid).
If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team.
What You Will Do:
- 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
About You:
- 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
Bonus If You:
- 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
Compensation & Benefits:
- Competitive compensation package, including equity.
- Inclusive Healthcare Package.
- Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
- Flexible Time Off.
- We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA base pay range for this role is $208,000 - $312,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
- Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data.
- Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Benefits mentioned
- Competitive compensation package, including equity.
- Inclusive Healthcare Package.
- Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
- Flexible Time Off.
- We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
- The San Francisco, CA base pay range for this role is $208,000 - $312,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Requirements mentioned
- 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
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