Jobs at Relativity

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.

Counsel commercial transactions by drafting, reviewing, and negotiating SaaS, software, cloud, AI, data processing, procurement, and strategic partnership agreements. Advise stakeholders on commercial and operational legal issues, support pricing and contracting processes, improve legal workflows, and manage complex contract volumes. Collaborate with Sales, Finance, Security, Procurement, Customer Success, and other teams while evaluating technology, privacy, intellectual property, and regulatory considerations.

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.

Acquire and grow relationships with large corporate enterprises through strategic account management and complex SaaS solution selling. Manage full sales cycles, negotiate multi-year agreements, present to C-level executives, develop account strategies, coordinate global opportunities, and collaborate with internal business lines and channel partners to drive new business.

Plans and executes internal, client, and executive events across global workplace locations. Supports facilities and workplace operations, manages event and catering vendors, gathers employee feedback, delivers white-glove customer service, coordinates cross-functional partners, improves workplace processes, and trains global operations counterparts.

Supports Relativity Success leadership through strategic planning, prioritization, executive reporting, and business operations. Builds cross-functional relationships, gathers operational intelligence, identifies dependencies and risks, recommends actions, and contributes to annual planning. The role combines analytical rigor, relationship management, process development, and decision support in a SaaS environment.

Build and enhance cloud-native, distributed systems for large-scale data ingestion and processing. Design scalable, secure software and REST APIs, implement testing strategies, and improve development processes. Collaborate on agile teams, use serverless/cloud (Azure) technologies, and participate in pair programming to increase code quality and reliability.

Design, build, and operate cloud-native, AI-powered authentication and authorization services for a distributed, multi-tenant legal platform. Ensure secure, scalable systems through CI/CD, automated testing, observability, incident response, and performance tuning while mentoring engineers and leading design and reliability efforts.

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.

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 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.

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.