Product Manager

Relativity is a legal data intelligence company that provides an AI-powered cloud platform for organizing complex data and turning it into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high-stakes legal work. Its legal AI software helps law firms, corporations, and government agencies securely find and manage relevant information. The Agentic Platform team develops and operates a shared agent harness and reference agent to support the safe, scalable development of AI agents across Relativity products.

• Develop a deep understanding of workflows, abstractions, dependencies, and failure points involved in designing, building, testing, and deploying agents and skills
• Engage with product teams, including aiR Assist and other AI initiatives, to identify gaps, validate requirements, and drive platform improvements
• Translate stakeholder feedback into a product vision, strategy, and roadmap for the agent harness and reference agent
• Monitor the external agent ecosystem, including agent SDKs, MCP, A2A, and orchestration patterns, to inform product and architectural decisions
• Own product strategy and execution for the core harness and reference agent implementation
• Define and track 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
• Prioritize platform capabilities and reference agent enhancements while balancing scalability and product needs
• Drive integration of the harness with AI Platform capabilities such as model and agent registries, tracing, observability, and evaluation systems
• Define how harness-hosted agents are exposed and discovered across the broader AI platform experience
• Partner with Applied Science teams on evaluation, intent detection, and other AI capabilities required by the platform
• Improve onboarding and reduce the time teams need to deploy agents on the harness
• Establish governance standards and lifecycle management practices for shared agent infrastructure
• Shape the long-term platform strategy, including skills registries, low-code authoring experiences, multi-model support, and agent-to-agent handoff capabilities
• Use adoption metrics, operational insights, and incident learnings to evolve and improve the platform

• 5+ Years of product management experience, ideally owning platform or infrastructure products used by internal teams
• Experience building AI-powered or agentic systems in production, including orchestration, tool usage, or multi-step reasoning workflows
• Experience making and defending build-versus-buy decisions and influencing architectural direction with engineering teams
• Strong analytical mindset and hands-on experience using telemetry, analytics, experimentation, and data to inform product decisions
• Experience influencing roadmaps and priorities across teams without direct authority
• Excellent written and verbal communication skills
• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
• Будет плюсом: familiarity with MCP and A2A protocols, knowledge of LangGraph and its tradeoffs, familiarity with MLOps infrastructure including registries, tracing, and observability tooling, understanding of modern AI platform architectures and agent lifecycle management

• Competitive salary, benefits, DTO, parental leave, and equity program
• Eligible for total compensation including a competitive base salary, annual performance bonus, and long-term incentives
• Expected salary range: 250 000 and 374 000PLN
• Hybrid/Remote Poland