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
- 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 an understanding of their tradeoffs.
- Familiarity with MLOps infrastructure, including model or artifact registries, tracing, and observability tooling.
- Understanding of modern AI platform architectures and agent lifecycle management.
WHY WE COULD BE A GREAT FIT
Impactful Mission
- Build systems that help customers organize data, discover the truth, and act on it in high-stakes legal matters.
Engineering at Scale
- Work on distributed, cloud-native systems that process large volumes of data.
Cutting-Edge Technology
- Build with AI, cloud platforms, and scalable architectures shaping legal tech.
Growth and Ownership
- Gain experience owning systems end-to-end across cloud and distributed environments.
Collaborative Culture
- Work in a team focused on knowledge sharing and continuous improvement.
Inclusive Environment
- Diverse perspectives create stronger teams and better outcomes.
Compensation and Benefits
- Competitive salary, benefits, DTO, parental leave, and equity program.
Relativity is committed to competitive, fair, and equitable compensation practices.
This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.
The expected salary range for this role is between following values:
250 000 and 374 000PLN
The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.
Required Skills:
Agile Methodology, Innovation, Leadership, Market Research, Market Strategy, Product Development, Product Management, Roadmapping, Team Leadership, User Experience (UX)
