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2 часа назад

Product Manager (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Product Manager (AI): Developing an engineering intelligence platform for the AI era with an accent on agent-human collaboration, AI evaluation layers, and integration. Focus on prototyping AI-native products, making technical tradeoffs regarding latency and cost, and iterating towards product-market fit based on customer outcomes.

Location: Hybrid in San Mateo, CA (in-office attendance three days a week); Seattle considered in exceptional cases.

Company

hirify.global is building an engineering intelligence platform to help organizations understand the impact of AI on software delivery.

What you will do

  • Own AI-native product surfaces end-to-end, from defining the wedge to iterating for product-market fit based on customer outcomes.
  • Build clickable prototypes and working agents using modern AI tools to test hypotheses and validate software.
  • Manage hard technical tradeoffs between quality, latency, cost, and reliability in agentic systems.
  • Design human-in-the-loop systems ensuring humans remain meaningfully involved without becoming bottlenecks.
  • Define evaluation frameworks, analyze traces, and translate findings into product iterations.
  • Collaborate closely with the PDE triad (Product, Engineering, Design) and directly with customer teams.

Requirements

  • 6+ years in product management, with 2+ years building AI/ML or LLM-powered products.
  • CS degree or equivalent engineering background; ability to read code and contribute to system design.
  • Hands-on experience with LLM APIs, embeddings, vector stores, and prompt engineering.
  • Proven track record of shipping products from a blank page to real customers, preferably in a startup.
  • Must be based in or able to work from San Mateo, CA (Hybrid).

Nice to have

  • Domain experience in developer tools, engineering productivity, or agent platforms.
  • Experience shipping at a Series A or Series B startup.
  • Experience building and running eval frameworks for LLM products in production.
  • Experience with AI-native tools like Cursor, Claude Code, or v0.

Culture & Benefits

  • Culture of transparency and honest debate, valuing the ability to say hard things out loud.
  • Emphasis on intensity, urgency, and craftsmanship over throughput.
  • Ownership-driven approach where PMs are handed problem spaces rather than specific tasks.
  • Collaborative environment with direct exposure to founders and the broader leadership team.

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