Product Manager - AI Evaluations Tooling

Relativity is expanding its AI portfolio and building shared infrastructure to help teams evaluate and improve AI performance. The Product Manager will own the strategy and roadmap for the Evaluations Platform, including agentic testing, production monitoring, quality dashboards, SME workflows, and build-versus-buy decisions. The role partners with engineering, applied science, legal experts, and product teams to make AI quality measurable and actionable.

Responsibilities:

• Own the product vision, strategy, and roadmap for the Evaluations Platform across its pillars: offline evaluation pipeline, online evaluation and production monitoring, eval discovery and reuse, SME authoring and approval, and agentic evaluation
• Serve every team building AI at Relativity. Run continuous discovery with applied scientists, application engineering teams, and product PMs to understand how each of them experiences AI quality today and design the platform so teams can measure and improve their own performance without routing every question through an applied scientist
• Lead the orchestration of a world-class agentic testing system: trajectory evaluation, tool-call correctness, intermediate-state rubrics, long-running judge orchestration, and simulation of multi-step flows. Make it fast and safe to ship new agentic capabilities and make the platform a competitive advantage in how quickly Relativity can iterate on agents
• Work closely with legal subject-matter experts to define the tasks our AI is evaluated against, what a correct outcome looks like, where the hard cases are, and how judgment criteria should be expressed so they can be encoded, scored, and reused across products. Build the SME authoring and approval workflow around how experts work
• Own the team-facing quality dashboards. Every AI product team should be able to open a view and understand their own performance, where they stand against their quality bar, and what changed since last release, with no engineering help required
• Lead build-vs-buy evaluations for tracing infrastructure and commercial eval tooling and run a recurring review as the vendor landscape shifts
• Partner with engineering and applied science on judge calibration so LLM-as-judge is trustworthy enough to gate deployments
• Clearly articulate technical tradeoffs to stakeholders ranging from applied scientists to attorneys to executive leadership

Requirements:

• 4+ years of product management experience at a technology company, with at least 2 years on technical, platform, infrastructure, or data/ML products
• Solid understanding of the software development lifecycle and agile practices
• Experience conducting user discovery with technical audiences and translating findings into roadmap decisions
• Excellent written and verbal communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences
• Agile Methodology
• Cross-Functional Teamwork
• Market Research
• Market Strategy
• Product Lifecycle
• Product Lifecycle Management (PLM)
• Product Management
• Product Strategies
• Stakeholder Management
• Team Leadership
• Experience with LLM-based products and a working understanding of how they are evaluated (rubrics, LLM-as-judge, offline vs. online evaluation)
• Direct experience with agentic systems is a plus, not a requirement
• Experience as a platform, developer-tools, or data/ML PM serving technical customers, or a demonstrated ability to learn a technical domain quickly and earn credibility with engineers and scientists
• Comfort bringing non-engineering domain experts into technical workflows and translating their judgment into something a system can act on
• Strong analytical instincts: sets metrics, tests assumptions, and changes course when the evidence says to