Jobs at Relativity

Lead roadmap and execution for document conversion and enrichment features. Work with customers, engineering, sales, and design to define requirements, prioritize backlog, track product metrics, and drive adoption. Provide technical leadership on cloud architecture, scalability, reliability, and performance while breaking projects into iterative releases and producing go-to-market content.

Serve as the technical account lead for Relativity customers: develop account plans, drive technical success plans, resolve critical incidents, partner cross-functionally to improve product experience, and advise customers on best practices. Maintain SME-level Relativity knowledge, contribute to KCS processes, and support capacity planning and service quality.

Lead end-to-end FOIA data migration projects into RelativityOne, define and prioritize migration tooling, author requirements and runbooks, engage agency customers, ensure FedRAMP-compliant handling of DT1 data, and drive continuous improvement and product feedback.

Provide senior legal counsel on commercial technology transactions including SaaS, software, cloud, AI-enabled and data processing agreements; draft, review, and negotiate contracts; advise cross-functional stakeholders; streamline contracting processes and pricing governance; use legal tech and AI tools to increase efficiency; engage customers and support strategic initiatives.

Lead architecture and hands-on implementation of cloud-native, distributed, high-throughput data systems. Define organization-wide standards for scalability, reliability, security, and observability. Drive transition from batch to streaming-first pipelines, influence executive product/platform decisions, mentor teams, and establish AI-assisted and agentic engineering best practices and guardrails while owning systems end-to-end.

Design and operate secure authentication and identity services, manage integrations with identity providers, and ensure high availability and system observability.

Lead complex employee relations investigations and high-risk performance cases end-to-end; advise managers and Sr. HRBPs on disciplinary and performance processes; ensure legal compliance, rigorous documentation, and consistent global policy application; analyze ER trends and build enablement tools and playbooks.

As a Software Engineer, you will design and build backend services for Relativity's generative AI platform, focusing on scalability and reliability in distributed systems.

Provide technical support for a product vertical, troubleshoot and resolve software/network issues, run basic SQL queries, maintain tickets in Salesforce, escalate when needed, meet SLAs, obtain Public Trust clearance, and deliver excellent customer service during assigned CST shifts.

Lead product strategy and delivery for cloud-native infrastructure and AI platform capabilities. Define roadmaps, translate technical constraints into requirements, improve developer experience and observability, track product metrics, and drive adoption through cross-functional collaboration with Engineering, Security, Finance, and partners.

Design, build, and operate distributed, cloud-native full‑stack services and data pipelines at petabyte scale. Troubleshoot production issues, lead incident response and root cause analysis, mentor engineers, influence reliability/security/performance practices, and participate in on-call rotations to ensure highly available, scalable AI-powered legal data solutions.

Design, develop, and maintain partner-facing enablement content, learning journeys, and GTM assets. Manage Partner Portal and asset library, run onboarding and launch programs, ensure content governance, and iterate using partner feedback and engagement data.

Lead partner communications, community programming, and recognition to engage and retain commercial partners. Manage partner portal content, channel webinars, partner briefings, regional events, advocacy and awards, competency validation, and feedback-driven program improvements to increase adoption and partner-driven business outcomes.

Contribute to building and operating scalable cloud services, develop user interfaces, collaborate on products, and improve engineering practices.

Lead and grow an applied science team to build reliable, production-ready generative AI systems for legal workflows. Own end-to-end AI readiness, architecture, evaluation, error analysis, deployment, and monitoring while partnering with product, engineering, and legal experts to scale agentic assistants and large-scale document review.

Lead document-vision research and production systems for multimodal legal evidence understanding. Define evaluation standards, frame hard problems, design and ship models, run efficacy studies and monitoring, mentor senior scientists, and advise leadership on scientific direction.

Lead technical direction for AI systems supporting public-sector investigations (FOIA/public-records). Design and evaluate retrieval, review, and reliability systems; build prototypes and move solutions to production; own evaluation, monitoring, and error analysis; review peers' work and partner with engineering, product, and embedded legal experts.

Lead platform and automation product strategy for RelativityOne, owning roadmap, backlog, and lifecycle from discovery to adoption. Drive developer-facing capabilities—automation, security primitives, cloud-native infra, and AI extensibility—while ensuring reliability, governance, and measurable adoption. Partner cross-functionally, use data and AI to prioritize work, produce documentation and enablement, and mentor junior PMs.

Lead and grow an applied science team building reliable, production-ready generative AI systems for legal use. Own end-to-end AI system readiness, set technical direction, perform evaluations and error analysis, partner cross-functionally to move work to scale, hire and coach staff, and represent the team externally.

Owner of inbound demand generation and marketing-led outbound for two legaltech products. Build and run demand strategy, manage paid search/social, own Webflow and HubSpot, drive SEO/AEO content, run email/lifecycle programs, maintain attribution connecting BigQuery/Looker/GA4 to revenue, and build AI-driven marketing automations. Advise leadership and oversee contractors to hit trials, demos, and pipeline goals.