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Product Manager, Software Factory (AI)

208 000 - 312 000$
Формат работы
remote (только Europe)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/US/Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Product Manager, Software Factory (AI): Building an AI-agent product that automates software maintenance and improvement across issue triage, planning, coding, verification, and review with an accent on agent orchestration, quality evaluation, and human oversight. Focus on defining probabilistic output acceptance bars, repository memory and context, and integrations with GitHub, Linear, Codex, and Claude Code.

Location: San Francisco, CA; hybrid for candidates within commuting distance of offices in San Francisco, New York, London, or Berlin, with in-office anchor days on Monday, Tuesday, and Friday. Candidates located beyond the commuting distance can work fully remotely.

Salary: $208,000–$312,000 annual base pay in San Francisco. Compensation may be adjusted based on employee location and may include equity, benefits, and bonus eligibility.

Company

Vercel provides agentic infrastructure and developer-focused products that help people and AI agents ship and run software.

What you will do

  • Own the product vision, strategy, and multi-year roadmap for Software Factory.
  • Define workflows for issue classification, analysis, implementation, review, and human handoff.
  • Set the trust and quality bar through evaluations, verification, retry behavior, and approval controls.
  • Define integrations with GitHub, Linear, Codex, Claude Code, and dedicated agent interfaces.
  • Shape the memory and context model for accumulating repository knowledge.
  • Work with design partners and Enterprise customers adopting Software Factory for their codebases.

Requirements

  • Experience building developer tooling products, ideally in CI/CD, code review, developer productivity, or AI coding tools.
  • Hands-on experience with coding agents and a clear perspective on their strengths and limitations.
  • Technical depth in agent orchestration, evaluations, context management, and sandboxed execution.
  • Experience owning a platform area adopted by other product teams and setting technical direction.
  • Experience defining acceptance standards and measuring quality for probabilistic product outputs.
  • Experience working with design partners or Enterprise customers on new engineering workflows.

Nice to have

  • Experience with multi-agent systems or agent orchestrators.
  • Experience with evaluations or systematic measurement of AI output quality.
  • Experience with bottom-up developer adoption and subsequent team expansion.
  • Experience running or operating a large open-source project.

Culture & Benefits

  • Inclusive healthcare package.
  • Flexible time off.
  • Mentorship and support for attending professional events.
  • Company-provided equipment and a work-from-home budget.
  • Equity and potential bonus or variable pay eligibility.

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