Senior Product Manager

Relativity ODA LLC; Kraków; Hybrid; PLN 250,000 - 420,000; Full time

Job summary

Relativity ODA LLC is seeking a Senior Product Manager for the Agentic Platform in a hybrid Poland-based role. You will own the product strategy for the shared agent platform and harness, collaborating with teams building AI-powered products to define needs and drive investments.

You will partner with engineering, applied science, and platform teams to drive adoption, shape platform direction, and enable rapid, safe agent development at scale.

Qualifications

• 5+ years in product management, ideally owning platform/infrastructure products.
• Experience building AI-powered or agentic systems, incl. orchestration or multi-step workflows.
• Experience making build-versus-buy decisions and influencing architecture with eng teams.
• Strong analytical mindset; used telemetry and analytics to inform decisions.
• Able to influence roadmaps without direct authority.
• Excellent written and verbal communication skills.

Responsibilities

• Understand workflows, abstractions, dependencies, and failure points for agents and skills.
• Translate stakeholder feedback into vision, strategy, and roadmap for harness and reference agent.
• Monitor external agent ecosystem to inform decisions.
• Own strategy for core harness and reference agent implementations.
• Define metrics for platform adoption and agent quality; track time-to-build.

Skills

Platform product mgmt

AI/agentic systems

Build-vs-buy decisions

Data-driven decisions

Cross-team influence

Excellent communication

Education

Bachelor's degree in CS/Engineering

Job description

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, priorize 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

• Develop a deep understanding of the workflows, abstractions, dependencies, and failure points involved in designing, building, testing, and deploying agents and skills.
• Engage directly with product teams, including aiR Assist and other AI initiatives, to identify gaps, validate requirements, and drive platform improvements.
• Translate stakeholder feedback into a clear 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 both the core harness and the reference agent implementation.
• Define and track success metrics related to platform adoption, reference agent quality, and time-to-build for consuming teams.
• Lead complex cross-functional initiatives spanning engineering, applied science, and product organizations.
• Prioritize investments across platform capabilities and reference agent enhancements while balancing platform scalability and product needs.
• Drive integration of the harness with adjacent 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 to support evaluation, intent detection, and other AI capabilities required by the platform.
• Improve onboarding experiences and reduce the time required for teams 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 continuously evolve and improve the platform.

WHAT WE'RE LOOKING FOR

Required

• 5+ years of experience in product management, ideally owning platform or infrastructure products used by internal teams.
• Experience building AI-powered or agentic systems in production environments, including orchestration, tool usage, or multi-step reasoning workflows.
• Experience making and defending build-versus-buy decisions and influencing architectural direction alongside engineering teams.
• Strong analytical mindset with 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.

Preferred

• Familiarity with tool access and interoperability protocols such as MCP (Model Context Protocol) and A2A.
• Working knowledge of agent orchestration frameworks such as LangGraph and