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74 Relativity Engineers Jobs Hiring Near You

Relativity

Senior Technical Account Manager

Columbus, OH · On-site

$134K - $202K/yr

This role requires prior Relativity experience. and Requirements * Developa strong understanding of ... Partner with other senior level team membersinProduct,and Engineering as needed to troubleshoot and ...

Relativity

Product Manager - Enrichment

Columbus, OH · On-site

Bachelor's degree in business, Computer Science, Engineering, or Design or comparable work experience. Relativity is committed to competitive, fair, and equitable compensation practices. This ...

Relativity

Senior Security Engineer, IAM

Columbus, OH · On-site

$107K - $146K/yr

... Relativity's identity attack surface, sets the standards others build against, mentors engineers, and elevates the organization's ability to detect and respond to identity-based threats. and ...

Relativity

Senior Manager, Order-to-Cash

Columbus, OH · On-site

$138K - $208K/yr

PartnerwithIT, Product, Engineering, and Go-to-Market teams to ensure new products and billing ... Accounting degree/experience preferred Relativity is committed to competitive, fair, and equitable ...

Relativity

Senior Software Engineer

Chicago, IL · On-site

$126K - $190K/yr

... Relativity, engineers don't just write code. They shape how industries uncover critical insights, ensure compliance, and continuously evolve our platform using cloud-native architectures, AI ...

Relativity

Software Engineer

Boise, ID · On-site

WHAT WE DO At Relativity, engineers don't just write code. They build the systems that power AI-driven workflows at massive scale, enabling customers to uncover insights and act on complex data with ...

Relativity

Software Engineer

Atlanta, GA · On-site

WHAT WE DO At Relativity, engineers don't just write code. They build the systems that power AI-driven workflows at massive scale, enabling customers to uncover insights and act on complex data with ...

Relativity

Software Engineer

Jacksonville, FL · On-site

WHAT WE DO At Relativity, engineers don't just write code. They build the systems that power AI-driven workflows at massive scale, enabling customers to uncover insights and act on complex data with ...

Relativity

Software Engineer

Charlotte, NC · On-site

WHAT WE DO At Relativity, engineers don't just write code. They build the systems that power AI-driven workflows at massive scale, enabling customers to uncover insights and act on complex data with ...

Relativity

Software Engineer

Oklahoma City, OK · On-site

WHAT WE DO At Relativity, engineers don't just write code. They build the systems that power AI-driven workflows at massive scale, enabling customers to uncover insights and act on complex data with ...

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Relativity Jobs Information

What is it like to work at Relativity?

Relativity is a technology company that values innovation, collaboration, and customer-centricity, fostering a dynamic and fast-paced work environment.

The company's team structure is designed to encourage cross-functional collaboration, with a flat organizational hierarchy and a focus on empowering employees to take ownership of their projects. Relativity's mission is to revolutionize the way people work with data, and its products are used by various industries, including law, finance, and government.

Working at Relativity may appeal to candidates who are passionate about technology, data analysis, and problem-solving, as the company offers opportunities to work on cutting-edge projects, develop new skills, and contribute to the growth of a rapidly expanding organization.

What makes Relativity an attractive place to work?

Relativity is a leading provider of cloud-based data platforms for the legal and compliance industries, known for its innovative approach to data management and e-discovery solutions. The company's workplace culture values collaboration, innovation, and employee growth, with opportunities for professionals to work on cutting-edge projects and develop their skills in a dynamic and supportive environment. Joining Relativity can offer individuals a chance to contribute to the company's mission of making data more accessible and usable, while also advancing their careers in a rapidly evolving industry.

What are the most popular jobs at Relativity?

What are the most popular categories at Relativity?

Infographic showing various Engineers job openings at Relativity in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 28% Physical, 11% Hybrid, and 61% Remote job distribution.

Director, Product Management - Data Intelligence Foundation

Relativity

Columbus, OH • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Posting Type

Remote/Hybrid

Job Overview

Relativity is a leading legal data intelligence company building AI technology that helps organizations organize data, discover the truth, and act on it with confidence. Over two decades, the company has built the most trusted platform in legal data, earning deep relationships with the world's leading law firms, corporations, and government agencies, and managing petabytes of the most sensitive data in existence. That foundation is now being turned into something larger: The AI platform for legal data intelligence.
The Relativity Intelligence Model is the architecture for that transformation. At its base is the Foundational Layer (Relativity's shared data platform serving all AI applications). Five primitives give AI agents the structure, meaning, and retrieval capability they need to reason over legal data at scale: Files, Ontology, Data Capabilities, Knowledge/Metadata, and Query Plane. Relativity's Data Intelligence Foundation engineering org is building this layer. The product leadership that shapes it, drives adoption across Relativity's product teams, and builds the PM discipline to own it long-term. That's this role.
The Director of Product Management, Data Intelligence Foundation is one of the highest-leverage product roles at Relativity. The Foundational Layer is what makes every Relativity aiR application smarter, every agent more reliable, and every Relativity product team faster. Getting it right matters enormously.

Job Description and Requirements

Whatyou'llown

The full PM layer across multiple engineering orgs:

  • Files / Natives: The storage primitive for legal documents, images, and native files. You define the substrate that makes immutable legal data consistently accessible across every product, partner integration, and AI workflow, with the SLAs, access contracts, and API surface that teams canbuild onwith confidence. The underlying data primitives are the foundation; the degree to which the retrieval layer (Query Plane) matches this structuredetermineshow easily the organization can navigate between "slow data" and "fast data" use cases.

  • Ontology / Relationship: The semantic layer of the Relativity Intelligence Model. Ontology encodesmeaning:what kinds of things exist in legal data and how they relate, so that AI agents can reason, not just query. You define what Relativity's Ontology becomes: the entities, relationships, and contracts that give every Skill and Agent a shared vocabulary for legal data.

  • Data Capabilities: Reporting, Audit, and internal data infrastructure. The operational backbone that makes the platform observable, auditable, and explainable. These are non-negotiable properties in legal data intelligence use cases.

  • Knowledge / Metadata: The core data model that every product team, customer, and integration partner works with. A unified materialized document layer, consistent across all workspaces, is the mandate. Your roadmap evolves this surface to serve AI application teams as first-class consumers alongside the users who have relied on it for years.

  • Query Plane: One of the most performance-sensitive and strategically important services in the product. The mandate is a unified retrieval pillar with a rich materialized document layer: standardized ingestion APIs independent of data source, hybrid retrieval (lexical + vector) with reranking, chunking as a managed capability, and tiered storage (cold/warm/hot).

Minimum qualifications

  • 12+ years in product management; 5+ yearsleading platform or infrastructure PM organizations

  • Deep fluency with data platform primitives, including storage systems, metadata layers, knowledge graphs, query engines, or equivalent. You can design an API contract, contribute to engineering scope decisions, and articulate the trade-offs in a data consistency model.

  • Demonstrated ability to manage and build a PM team through hiring, leveling, and establishing product practice for a new domain

  • Bachelor's degree in Business, Computer Science, Engineering, or Design, or comparable work experience

Preferred qualifications

  • Experience building at companies where the data platform is the product, not a supporting system.Snowflake, Databricks, Elastic, MongoDB, Palantir, and similar are strong indicators of the right background.

  • Experience building for AI systems, agents, or ML pipelines as primary consumers. You understand what a model needs from data that a humandoesn't, and you design for both.

Ways of working

  • Engineering credibility is paramount.You will be in technical discussions with skilled and knowledgeable engineering leaders regularly.You need to be a peer in those conversations, not a relay.

  • Organizational cadence.Youestablishthe operating rhythm for a multi-pillar PM org: the forum structure, planning cadence, and decision frameworks that let the team move with velocity and alignment. When priorities conflict across pillars, you hold the trade-off clearly and resolve it cleanly.

  • Internal GTM ownership.Adoption of the Foundational Layer means every product team at Relativity builds with it. You define how internal teams discover, integrate, and get value from platform services, and you measure it. This is a product strategy job and a change management job simultaneously.

  • Coaching a scaling PM org.You build PM capability, not just PM headcount, leveling people up while running at speed.

  • Cross-functional influence without authority.Youdon'tcontrol the teams that need to adopt what you build. You make the new path clearly better and bring teams along through clarity, evidence, and trust.

  • Directional clarity under ambiguity.Several of these primitives are being defined as the engineering teams build. You make good decisions with incomplete information and update them whenrequired.

  • Legal domain expertise is notrequired.However, internalizing why defensibility, chain of custody, and auditability are first-class design requirements.

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:

$188,000 and $282,000

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:

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