Product Manager - AI Evaluations Tooling

Relativity; Illinois; Hybrid; USD 115,000 - 173,000; Full time

Job summary

Relativity is seeking a Product Manager for the Evaluations Platform to drive the vision and roadmap across offline/online evaluation, production monitoring, and agentic testing. You will collaborate with applied scientists, engineers, and PMs to help teams measure AI quality and accelerate shipping of capabilities.

The role requires 4+ years in product management on technical or ML products, strong communication, and the ability to translate technical insights into actionable roadmaps.

Qualifications

• 4+ years of product management experience at a tech company, including 2+ years on technical/platform/data/ML products.
• Strong 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, with ability to explain complex technical concepts to technical and non-technical audiences.

Responsibilities

• Own the product vision, strategy, and roadmap for the Evaluations Platform across its pillars.
• Collaborate with applied scientists, application engineering teams, and PMs to measure and improve AI quality without routing every question through an applied scientist.
• Lead the orchestration of a world-class agentic testing system including evaluation, tool-call correctness, rubrics, and multi-step flows.
• Define SME authoring and approval workflow so experts can encode, score, and reuse judgments across products.

Skills

LLM evaluation

Platform PM

Technical storytelling

Analytical mindset

Agile practices

Stakeholder management

Team leadership

Job description

Job Overview

Relativity's AI portfolio spans 20+ products and we are moving quickly into agentic capabilities. As that portfolio grows, so does the opportunity to give every team building AI at Relativity a shared, standardized way to understand and improve their own AI performance. The Evaluations Tooling team exists to build that foundation: a platform that standardizes how we evaluate AI, accelerates how quickly teams can ship it with confidence, and turns AI quality into shared evidence that applied scientists, application teams, product managers, and legal experts can all act on.

Posting Type

Remote/Hybrid

Job Description And Requirements

Role 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.

Preferred Qualifications

• 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.

Minimum Qualifications

• 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.

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:

$115,000 and $173,000

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, Cross-Functional Teamwork, Market Research, Market Strategy, Product Lifecycle, Product Lifecycle Management (PLM), Product Management, Product Strategies, Stakeholder Management, Team Leadership