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4 дня назад

Senior Product Manager (AI)

250 000 - 374 000PLN
Формат работы
remote (только Poland)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Poland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Product Manager (AI): Owning the strategy and roadmap for a shared agent harness and reference agent that enable safe, scalable development of AI-powered products with an accent on agent orchestration, platform adoption, and governance. Focus on integrating registries, tracing, observability, and evaluation systems, while reducing deployment time and shaping multi-model and agent-to-agent capabilities.

Location: Kraków; hybrid or remote in Poland

Salary: 250,000–374,000 PLN annually, plus performance bonus and long-term incentives.

Company

hirify.global builds AI-powered cloud software for legal data intelligence, helping law firms, corporations, and government agencies manage complex information for litigation, investigations, and other high-stakes legal work.

What you will do

  • Own product strategy and roadmap for the shared agent harness and technical reference agent.
  • Partner with AI product teams, including aiR Assist, to identify platform gaps, validate requirements, and drive adoption.
  • Define success metrics for platform adoption, reference-agent quality, and time-to-build for consuming teams.
  • Lead cross-functional initiatives across engineering, applied science, and product organizations.
  • Integrate the harness with model and agent registries, tracing, observability, and evaluation systems.
  • Establish governance, lifecycle management, onboarding, and long-term platform practices for agent infrastructure.

Requirements

  • 5+ years of product management experience, ideally owning platform or infrastructure products for internal teams.
  • Experience building AI-powered or agentic systems in production, including orchestration, tool usage, or multi-step reasoning workflows.
  • Experience with build-versus-buy decisions and influencing architectural direction with engineering teams.
  • Hands-on experience using telemetry, analytics, experimentation, and data to guide product decisions.
  • Ability to influence roadmaps across teams without direct authority, with strong written and verbal communication skills.
  • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

Nice to have

  • Familiarity with MCP and A2A interoperability protocols.
  • Working knowledge of LangGraph and agent orchestration tradeoffs.
  • Experience with MLOps infrastructure, model or artifact registries, tracing, and observability tooling.
  • Understanding of modern AI platform architectures and agent lifecycle management.

Culture & Benefits

  • Work on distributed, cloud-native systems processing large volumes of data.
  • Build AI and scalable platform technology for legal tech.
  • Own systems end-to-end across cloud and distributed environments.
  • Collaborative environment focused on knowledge sharing and continuous improvement.
  • Competitive benefits, discretionary time off, parental leave, and an equity program.

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