Jobs at Relativity

Design, build, test, and improve secure, scalable software systems that process massive datasets. Develop distributed, cloud-based applications, REST APIs, and multi-database solutions while contributing to testing and software lifecycle improvements. Collaborate through agile practices and pair programming, and mentor less experienced engineers. The role emphasizes quality, performance, system design, and modern cloud technologies.

Lead end-to-end product design for AI-powered legal data intelligence workflows, including discovery, case strategy, transcript analysis, document review, and knowledge management. Partner with product, engineering, research, and applied science teams; create prototypes and design specifications; evolve the RUI design system; and build accessible, production-ready front-end code using AI-assisted development. Engage customers and stakeholders through demos, research sessions, and occasional travel.

Drive new-business and expansion sales across a named SLED territory. Responsibilities include strategic territory and account planning, pipeline management in Salesforce, cross-functional coordination, product demonstrations, executive relationship development, business-case creation, and closing opportunities to exceed quota. The role requires enterprise software, eDiscovery, SaaS, complex solution-selling, and full-cycle quota-carrying sales experience.

Lead the vision, roadmap, and launch of claiR, Relativity’s conversational AI product for legal professionals. Manage and coach product managers, coordinate cross-functional work with design and engineering, guide strategic planning, and drive customer adoption. The role includes hands-on product development, enterprise customer engagement, go-to-market enablement, pricing strategy, and regular travel to customer sites.

Provides Tier 2 IT support, troubleshooting desktop, network, application, identity, and endpoint management issues. Escalates incidents, coaches junior analysts, manages major incident communication, supports hardware and software deployments, improves documentation, and participates in root-cause analysis and process improvement.

Leads second-line IT risk assurance, continuous ITGC testing, control architecture, risk register management, and control deficiency reporting. Serves as a subject matter expert on security frameworks and GRC, supports SOX and integrated audits, and leads FedRAMP Moderate/High pre-assessment reviews. Designs and optimizes risk and control matrices, interprets regulatory requirements, monitors control effectiveness, and briefs executives, auditors, regulators, and customers on technical risk and control matters.

Supports education program delivery through workspace creation, scheduling, LMS administration, candidate attempt review, customer inquiries, contracts, and program logistics. Creates SOPs, facilitates upskilling sessions, tracks timelines and action items, communicates updates, and partners with stakeholders. Drives process improvements, automation, and AI innovations to reduce manual work and scale education operations.

Build and maintain Relativity’s React and TypeScript design system, including package publishing, versioning, CI, visual regression testing, design token pipelines, accessibility, component behavior, and migration support. Own build and release tooling, maintain legacy libraries, resolve release issues, review designer- and AI-generated components, and provide technical leadership through code reviews and pairing.

Owns Relativity’s event programs and Tier 1 trade show presence from planning through execution. Responsibilities include budgeting, contracting, sponsorships, venue and booth production, vendor management, logistics, lead capture, stakeholder coordination, on-site execution, communications, and post-event analysis. The role partners with Brand, Sales, Demand Generation, and event production teams to deliver high-impact experiences aligned with business and brand objectives.

Own the technical architecture and lifecycle of Relativity’s next-generation design system, including packaging, publishing, versioning, migration, testing, accessibility, reliability, and incident response. Lead frontend engineering standards across teams through architecture, implementation, reviews, documentation, coaching, and cross-organizational alignment. Build scalable React and TypeScript systems consumed across more than 60 repositories.

Advise lawyers and legal organizations on adopting Relativity’s AI platform and integrating generative AI into litigation, investigations, discovery, privilege review, and compliance workflows. Build customer relationships, support pre-sales demonstrations, lead onboarding and training, drive post-sales adoption, translate legal needs into product feedback, and guide workflow transformation. The role requires a practicing or former attorney who can bridge legal practice, customer engagement, and AI technology.

Advises lawyers and legal organizations on adopting Relativity’s AI platform and integrating AI into litigation, investigations, discovery, and compliance workflows. Builds customer relationships, leads tailored demonstrations, supports onboarding and training, drives adoption and measurable value, translates legal and technical concepts, and provides customer feedback to product and engineering teams.

Leads Relativity’s industry thought leadership brand strategy and execution across campaigns, content, communications, PR, events, social, influencer marketing, and digital channels. Analyzes program performance, evolves messaging using market and audience insights, maintains editorial and brand guidance, manages expert relationships, oversees budgets and resources, and supervises a senior specialist. The role also evaluates AI applications for improving content consistency, efficiency, and accuracy.

Own outcomes for a portfolio of RelativityOne subscription accounts by driving adoption, value realization, renewals, and ROI documentation. Monitor health scores and adoption signals, proactively remediate risks, maintain Gainsight records, and deliver onboarding, training, and targeted customer engagements. Use AI tools to create communications, analyze usage patterns, and scale customer programs. Partner with Sales, Adoption Services, and internal teams to improve customer outcomes and contribute to playbooks.

Build and operate distributed, secure, cloud-native services that process petabytes of data. Develop storage abstraction layers, APIs, data pipelines, user interfaces, and platform services using C# and Azure. Contribute to system design, code reviews, CI/CD, reliability, incident response, and on-call rotations while exploring AI-powered development and agentic AI capabilities.

Build and operate secure, scalable cloud-native services, user interfaces, backend services, and data pipelines for Relativity’s AI Platform. Responsibilities include writing maintainable tested code, participating in design and code reviews, supporting reliability and incident response, collaborating across engineering and product teams, and improving experimentation infrastructure for petabyte-scale legal data workloads.

Own the vision, strategy, and roadmap for an AI evaluations platform supporting offline and online evaluation, production monitoring, agentic testing, SME workflows, and quality dashboards. Partner with applied scientists, engineers, product teams, legal experts, and executives to define evaluation standards, calibrate LLM judges, assess build-versus-buy decisions, and help teams measure and improve AI performance.

Staff Engineer responsible for architecting and implementing secure, scalable full-stack cloud services processing petabytes of data. The role provides technical direction across frontend, backend, and data layers; resolves complex cross-organizational challenges; establishes engineering standards for performance, reliability, and security; aligns technical execution with product strategy; and mentors senior and lead engineers. The position requires extensive experience with cloud-native distributed systems, architecture, technical leadership, cross-team influence, and large-scale reliability.

Own the architecture and technical direction of a production agentic AI product. Lead agent orchestration, context pipelines, evaluation infrastructure, search, grounding, security, cloud platform decisions, and enterprise integrations. Establish quality standards, improve engineering practices, mentor senior engineers, guide hiring, and remain hands-on solving complex technical problems across React, services, and PostgreSQL.

Build and operate scalable AI and machine learning platforms, including automated training, deployment, monitoring, and lifecycle management. Implement CI/CD pipelines using containers, infrastructure as code, and orchestration technologies. Deploy and troubleshoot production models, track reliability and cost metrics, evaluate MLOps tools, and collaborate with engineering, data science, product, security, and data teams. The role also includes code and design reviews, mentoring junior engineers, and advancing AI platform practices.