Senior Product Manager - Document

Posting Type

Hybrid

Job Overview

About Us : At Relativity, we make software to help users organize data, discover the truth, and act on it. Our e-discovery platform is used by more than 13,000 organizations around the world to manage large volumes of data and quickly identify key issues during litigation, internal investigations, and compliance projects.

About the Role : As the Senior Product Manager for Document, you will own and drive the evolution of the core data domain in RelativityOne, powering the future growth of our business and enabling agentic AI experiences across the platform. RelativityOne contains petabytes of data across hundreds of thousands of projects and the Document domain is the central structure that powers our advanced Legal Data Intelligence workflows. You will collaborate with cross-functional teams including engineering, UX, and applied science to support advanced search, analytics, and agentic AI features. This Platform PM role requires a mix of technical expertise, data-driven decision-making, and exceptional communication skills to engage both technical and non-technical stakeholders.

Job Description and Requirements

Role Responsibilities

Drive product discovery : Run continuous discovery using qualitative and quantitative methods to identify critical customer problems and measure the value and opportuni ty cost of solutions.

Define and execute roadmaps : Create a compelling and ambitious vision for the future of our core data domain , incorporating high-level business strategy with team-level tactical needs and balancing future-state projects with support for today's workflows .

Partner with engineering : Partner with your engineering team to provide clarity of purpose, and ensure deliverables meet our high standards for scalability, reliability, observability, and security.

Advocate and persuade : Foster alignment and buy-in from internal and external stakeholders through continued, targeted outreach , and driving adoption through internal education and enablement activities .

Promote data domain thinking : E stablish and maintain data ownership and usage governance for the domain, including metrics and stakeholder engagement.

Simplify complex topics : Translate technical conversations and decisions to less technical audiences, internal and external, to create clarity with stakeholders.

Measure success : Identify , track, and report on key product metrics. Work with engineering and UX to define quarterly OKRs (Objectives and Key Results) that articulate team goals.

Iterate rapidly : Break down large projects into manageable, iterative releases with clear milestones and measurable results.

Lead tradeoff decision-making : Engage stakeholders and engineering partners in discussions about large cloud-native data storage and search systems , create cost models to drive prioritization decisions.

Preferred qualifications :

5 + years of experience in product management building custom software.

Experience with large, distributed data systems , domain driven design, and microservice architecture .

Excellent communication and presentation skills, including the ability to tailor messages to different audiences .

Proven track record of using design thinking and iterative software development processes.

Demonstrated ability and extensive experience in distinguishing between Business, Functional, and Technical requirements.

Significant experience with data analysis, including the ability to use data to analyze and monitor product health, set goals, back up assumptions, and track success.

Familiarity with cloud data storage systems like ADLS and AWS S3, and cloud analytics patterns like the data lakehou se and medallion architecture.

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 :

$140,000 and $210,000

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.