Senior Product Manager
Posting Type
Hybrid/Remote Poland
Job Overview
WHO WE ARE
Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high-stakes legal work where accuracy and trust are crucial.
The world’s largest law firms, corporations, and government agencies rely on Relativity’s legal AI software to securely surface and manage the most relevant and impactful information in their matters. Beyond our commercial impact, we are committed to expanding access to technology and supporting pro bono legal work.
WHAT WE DO
Within AI Platform, the Agentic Platform team owns the agentic backbone of Relativity’s AI strategy. The team develops and operates the shared agent harness that enables Relativity product teams to define, deploy, and operate agents safely and at scale. The team also maintains a technical reference agent used to validate and demonstrate core platform capabilities before they are adopted by other teams.
By partnering closely with teams building products such as aiR Assist and other AI-powered experiences, the Agentic Platform team helps accelerate the delivery of scalable, reliable, and governed agentic solutions across Relativity.
ABOUT THE ROLE
As Senior Product Manager, Agentic Platform, you will own the product strategy and roadmap for the shared agent platform and agent harness. You will work closely with teams building AI-powered products to understand their needs, prioritize platform investments, and ensure the harness enables rapid, safe, and scalable agent development.
You will partner across engineering, applied science, and platform teams to drive adoption, shape platform direction, and influence adjacent capabilities critical to the success of agentic systems.
Job Description and Requirements
WHAT YOU’LL DO
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Develop a deep understanding of the workflows, abstractions, dependencies, and failure points involved in designing, building, testing, and deploying agents and skills.
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Engage directly with product teams, including aiR Assist and other AI initiatives, to identify gaps, validate requirements, and drive platform improvements.
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Translate stakeholder feedback into a clear product vision, strategy, and roadmap for the agent harness and reference agent.
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Monitor the external agent ecosystem, including agent SDKs, MCP, A2A, and orchestration patterns, to inform product and architectural decisions.
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Own product strategy and execution for both the core harness and the reference agent implementation.
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Define and track success metrics related to platform adoption, reference agent quality, and time-to-build for consuming teams.
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Lead complex cross-functional initiatives spanning engineering, applied science, and...