Jobs at Relativity

Leads complex deal review and execution across pricing, licensing, contracts, approvals, exceptions, and operational handoffs. Partners with Sales, Legal, Finance, Billing, IT, and Revenue Operations to manage risk, ensure compliant and audit-ready execution, improve deal workflows, maintain documentation, and support process adoption. Uses operational data to identify gaps and recommend improvements while mentoring peers and managing service-level priorities.

Own and grow a portfolio of major law firm accounts, driving retention, renewals, expansions, and strategic relationships with senior legal stakeholders. Lead complex negotiations, coordinate cross-functional account teams, identify competitive risks, and advise sales leadership on segment strategy. Represent the company at industry events, build executive networks, mentor Account Executives, and contribute to strategic initiatives. The role requires enterprise SaaS sales expertise, legal technology knowledge, technical fluency in AI and databases, executive presence, and regular travel.

Build and own production AI agents end to end, from tool and prompt design through evaluation, frontend experiences, deployment, monitoring, and continuous improvement. Develop full-stack services and shared AI infrastructure, debug retrieval and model issues, measure production performance, contribute to architecture and documentation, review code, mentor engineers, and collaborate with product, design, founders, and customers.

Supports partner-focused sales through technical consulting, product demonstrations, proof-of-concept management, proposals, risk assessments, and workflow assistance. Serves as a Relativity subject matter expert, evangelist, and liaison across sales, product, and partnership teams. Develops partner enablement materials, communicates customer feedback, maintains product and security expertise, mentors junior team members, and supports account growth. The role requires extensive SaaS and sales engineering experience, Relativity certifications, strong communication skills, and 25% travel.

Build and maintain full-stack AI features for Gavel, including agent tools, prompts, context, APIs, services, Word add-ins, and web applications. Develop evaluations, feature-flagged deployments, tests, and reliability improvements for agentic systems. Collaborate with senior engineers through pairing and code reviews while progressively taking ownership of ambiguous, end-to-end AI engineering problems.

Build and own production AI agents end to end, including tools, prompts, retrieval, evaluations, backend services, and Word or web interfaces. Ship cloud-native features, maintain evaluation and observability systems, debug model and retrieval issues, and contribute to reliable infrastructure. Collaborate with founders, product, design, customers, and engineers while mentoring teammates and driving continuous production improvements.

Leads end-to-end development of AI agent capabilities, including architecture, orchestration, retrieval, evaluation, Word and web experiences, deployment, monitoring, and quality standards. Codes approximately half the time while owning technical roadmaps, release decisions, cross-team platform and security collaboration, customer-informed prioritization, hiring, and mentorship of a small engineering team.

Lead the architecture and long-term roadmap for Relativity’s machine learning platform. Design scalable training, inference, monitoring, and ML operations systems; evaluate emerging technologies; improve model performance and cost efficiency through optimization techniques; and ensure secure, reliable AI services. Partner with product, program, and data science leaders, guide cross-functional initiatives, establish engineering standards, and mentor senior engineers across multiple teams.

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.

Build and operate scalable, secure, distributed cloud services and data pipelines supporting AI-powered legal technology. Develop full-stack capabilities, improve platform throughput, latency, cost, and reliability, and contribute to APIs, model routing, durable workflows, observability, code reviews, incident response, and on-call support. Collaborate with product and engineering teams to safely deploy AI models across commercial and government cloud environments.

Execute partner marketing campaigns, programs, webinars, digital initiatives, and industry events. Coordinate sponsorship fulfillment, partner communications, content, logistics, and cross-functional delivery. Manage campaign assets, reporting, and performance analysis while recommending improvements. Support email, landing page, social, public relations, and web content activities. The role requires strong project management, communication, marketing analytics, and familiarity with marketing technology, with limited travel and hybrid expectations for Chicago-based employees.

Provides senior legal counsel on AI, product development, marketing, legal technology, technology transactions, and emerging regulations. Advises Product, Engineering, Marketing, Partner, Customer Success, and Strategy teams; drafts policies and agreement terms; negotiates vendor, open-source, collaboration, and customer agreements; supports product launches and go-to-market strategies; and translates complex AI laws into practical business guidance.

Provides technical support for Relativity products by diagnosing software, network, SQL, and Windows issues. Manages customer tickets from creation through resolution, escalation, and documentation in Salesforce while meeting service-level agreements. Communicates with technical and non-technical customers by phone and email, collaborates across support teams, develops product expertise, and reports significant issues to management. The role works an evening Monday–Friday shift.

Leads strategic customer success for complex, high-value accounts while coaching the broader CSM team. Owns customer health, renewals, ROI reporting, executive business reviews, AI adoption, change management, and legal workflow transformation. Builds playbooks, trains peers, influences product and sales decisions, and develops expansion opportunities. The role requires deep legal technology, eDiscovery, litigation operations, or compliance-regulated environment expertise, along with executive credibility and commercial awareness.

Lead the design, development, and operation of scalable, secure cloud services and Kubernetes infrastructure. Provide technical direction across engineering teams, mentor developers, establish engineering standards, and drive reliability, incident response, automation, cluster lifecycle, workload scheduling, platform efficiency, and multi-tenant systems across commercial and government cloud environments.

The Senior Product Marketing Manager will develop market, buyer, competitive, and performance insights for the law firm segment. Responsibilities include creating go-to-market plans, supporting launch readiness, developing sales enablement, analyzing acquisition and adoption opportunities, and delivering recommendations to cross-functional and leadership teams. The role requires influencing Product, Sales, Customer Success, Growth, and Marketing partners while translating evidence into positioning, commercial priorities, and measurable execution improvements.

Advises legal customers on adopting and integrating Relativity’s AI platform. Builds relationships with lawyers, leads tailored demonstrations, supports pre-sales, onboarding, training, workflow transformation, and value realization. Translates AI capabilities into practical legal use cases, gathers customer feedback for product teams, and develops scalable engagement best practices. The role requires a practicing or former attorney with litigation knowledge, strong communication skills, and hands-on experience with legal AI tools.

Designs and owns a sales enablement microlearning ecosystem, including role-specific onboarding, AI-assisted content pipelines, and learning technology integration. Partners with sales training leadership to create and deliver programs, manages content across Highspot, LMS, Slack, and Salesforce, and measures effectiveness through completion, assessment, and productivity data. Builds a scalable content production system and continuously evaluates emerging AI learning tools.

Leads Workday and HRIS strategy, implementations, enhancements, roadmap planning, configuration, issue resolution, reporting, security, integrations, and enterprise HR programs. Translates business needs into scalable solutions, partners with HR, IT, vendors, and senior stakeholders, establishes documentation and governance standards, evaluates Workday Extend applications, and mentors HRIS analysts without direct management responsibility.

Design, develop, and operate cloud-based services for large-scale data management. Build full-stack features using .NET/C#, React, JavaScript, and SQL; maintain integrations; execute production migrations; apply Azure cloud-native architecture; manage CI/CD pipelines; monitor system health; remediate vulnerabilities; participate in on-call incident response; and collaborate cross-functionally on sprint commitments.