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3 дня назад

Senior Product Manager (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Netherlands
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Senior Product Manager (AI): Leading the development of agentic workflows in JetBrains IDEs, including task delegation, session monitoring, steering, and code review, with an accent on developer experience, telemetry, and AI agent integrations. Focus on modeling complex system states and permissions, analyzing product metrics with SQL or Python, and balancing governance, privacy, latency, and cost trade-offs.

Location: Amsterdam, Netherlands; flexible work from home or from the office

Company

hirify.global creates intelligent software development tools for developers and teams, including an open system for agentic development in hirify.global IDEs.

What you will do

  • Own key parts of hirify.global Air in hirify.global IDEs from problem framing and discovery through delivery, adoption, and iteration.
  • Define and refine agentic workflows for task delegation, session monitoring, steering, and code review.
  • Model complex user flows, system states, permissions, and integration schemes to guide engineering and design decisions.
  • Maintain a transparent roadmap balancing rapid improvements with long-term strategic investments.
  • Define telemetry, design experiments, analyze product data, and make evidence-based roadmap decisions.
  • Study developer use of AI agents, collaborate with the Agent Client Protocol ecosystem and partners, and address governance, privacy, and control requirements with enterprise sales and support.

Requirements

  • Proven experience shipping end-user products as a product manager or in a similar role.
  • Strong technical grounding in software development workflows, including IDEs, Git, code review, CI/CD, and package management.
  • A hands-on technical background sufficient for close collaboration with software and ML engineers.
  • Understanding of AI and agent concepts, including tool use, MCP/ACP protocols, context retrieval, evaluations, and latency/cost trade-offs.
  • Ability to write SQL or Python independently to analyze product metrics and experiment results.
  • Systems-thinking ability to break down complex architectures, workflows, and dependencies.
  • Hands-on experience using coding agents and clear perspectives on the strengths and limitations of current AI tools.
  • Strong product intuition for complex technical user experiences and developer workflows.
  • Clear, concise, collaborative communication skills, including the ability to explain complex technical concepts simply and align diverse stakeholders.
  • Comfort navigating fast-changing technical landscapes with high ambiguity.
  • Fluency in written and spoken English.

Culture & Benefits

  • Flexible work schedule with the option to work from home or from the office.
  • Competitive base salary reflecting skills and experience.
  • Extra time off.
  • Conferences, courses, and language classes.
  • Free meals and snacks.
  • On-site gyms or sports club stipends, plus company-wide events and team gatherings.

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