4 дня назад
Senior Product Manager (AI)
250 000 - 374 000PLN
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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