Top Tech Jobs & Startup Jobs

Design and build Relativity’s agent runtime and AI platform foundations using Python and agentic AI frameworks. Develop orchestration, tool calling, state management, memory, protocol support, reusable abstractions, and cloud-native services. Collaborate with engineering teams to establish scalable platform capabilities, evaluate emerging agent architectures, and support reliable LLM system upgrades across products.

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.

Design, develop, test, deploy, and support scalable cloud software for RelativityOne using C# and .NET on Azure. Architect secure solutions, improve CI/CD and observability, troubleshoot production issues, participate in code reviews and on-call support, and mentor engineers. Collaborate within Scrum teams to deliver features across the full software lifecycle while applying testing, automation, AI-assisted engineering, and continuous improvement practices.

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.

This role requires overseeing Salesforce CPQ administration, collaborating with teams for solution design, automating processes, managing configurations, and providing user support.

Provides technical application support by managing tickets, troubleshooting complex client issues, answering questions by phone and email, running basic SQL queries, documenting interactions in Salesforce, meeting service-level agreements, and escalating issues when needed. Requires customer service expertise, SQL and Windows experience, flexibility for scheduled shifts and on-call support, and approximately 10% travel.

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.