product manager for Legal Data Intelligence

Relativity builds platforms that help customers find the truth in complex data and act on it with confidence. Its RelativityOne platform provides automation, security, cloud-native infrastructure, and AI-powered extensibility for Legal Data Intelligence.

• Own the roadmap and backlog, sequencing work based on customer impact, technical dependencies, and business priorities;
• Define completion criteria and maintain ownership standards across incubation, migration, and scaled adoption;
• Run structured discovery with developers, engineering teams, and ISVs;
• Triage scope decisions and determine what ships, what remains a future bet, and what is out;
• Drive delivery velocity while maintaining platform quality and reliability standards;
• Manage discovery and adoption according to the product lifecycle stage;
• Define platform capabilities for developers and end users;
• Design human-in-the-loop workflows, escalation paths, governance signals, and audit trails;
• Partner with engineering and security to make security, auditability, and governance first-class design constraints;
• Use AI for prototyping, research synthesis, specification drafting, and customer insight;
• Define scalable platform patterns, contracts, and governance boundaries with engineering and architecture;
• Translate cloud-native migration patterns, API security models, and AI extensibility standards for developers, domain experts, and buyers;
• Develop customer-facing documentation, enablement guides, and release notes;
• Capture early-adopter best practices and package them into reusable adoption assets;
• Connect product, engineering, and go-to-market teams, align stakeholders, and clear blockers;
• Track adoption, migration progress, platform reliability, and time to first successful integration;
• Communicate progress, risks, known information, unknowns, and needs to leadership, engineering partners, and customers.

• 7+ Years in software product management with ownership across multiple product lifecycle stages;
• Ability to deliver through ambiguity, define scope under uncertainty, make prioritization decisions, and ship with customers;
• Experience with developer-facing or platform-facing products such as APIs, SDKs, extension frameworks, security primitives, or cloud infrastructure;
• Hands-on experience with cloud platform architecture, preferably Azure;
• Technical understanding of distributed systems, platform APIs, and cloud-native design;
• Working knowledge of AI-enabled platform patterns, developer tooling, agentic workflows, or AI-native services;
• Understanding of the software development lifecycle and modern delivery practices;
• Experience with AI-powered SDLC environments where agentic tooling is used;
• Data-driven approach to setting goals, sizing bets, monitoring product health, and changing course;
• Strong communication across technical and non-technical audiences;
• Active use of AI tools for prototyping, research synthesis, specification drafting, and faster delivery;
• Experience working alongside or mentoring junior product managers;
• Nice to have: background in legal technology, eDiscovery, compliance, or complex high-stakes workflows; experience with cloud-native platform migrations; familiarity with Model Context Protocol (MCP) or Agent-to-Agent (A2A); experience with developer ecosystems, partner integrations, or extensibility platforms at enterprise SaaS scale; technical foundation in computer science, engineering, data science, or equivalent.

• Competitive base salary, annual performance bonus, and long-term incentives;
• The final offered salary depends on experience, skills, qualifications, and internal pay equity.