Senior Technical Project Manager

Infrastructure Technical Project Management

Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, Relativity One, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high-stakes legal work where accuracy and trust are crucial. The world's largest law firms, corporations, and government agencies rely on Relativity's legal AI software to securely surface and manage the most relevant and impactful information in their matters.

Beyond our commercial impact, we're deeply committed to expanding access to technology for academic institutions through Relativity Academic and supporting pro bono legal work through Justice for Change.

What You'll Do

• Lead the end-to-end delivery of complex technical initiatives across engineering domains
• Drive alignment on business outcomes, scope, sequencing, risks, dependencies, ownership, and success measures across multiple teams
• Translate ambiguous goals into clear execution plans, operating rhythms, decision points, and accountability structures that enable teams to move faster
• Operate as a strategic delivery leader by asking the next question, surfacing gaps, and pushing for the rigor needed to execute well
• Challenge weak assumptions, plans, timelines, and inputs when needed to improve decision quality and reduce delivery risk
• Identify risks early, assess impact, drive mitigation planning, and escalate with recommendations rather than simply reporting problems
• Partner closely with engineering leaders and teams to understand technical context, architecture implications, dependencies, and delivery constraints well enough to guide execution credibly
• Provide concise, leadership-ready updates focused on progress, risks, changes, decisions needed, and recommended actions
• Facilitate discussions that drive teams to closure on priorities, tradeoffs, commitments, and next steps
• Improve execution quality by identifying patterns, friction points, and systemic gaps across teams and helping implement better ways of working
• Explore, adopt, and help scale AI-enabled tools and practices that improve project management, including planning support, technical synthesis, status reporting, dependency analysis, risk detection, and decision support
• Lead or support initiatives tied to AI-enabled product capabilities, AI experimentation, and AI-related engineering investments as priorities evolve
• Partner effectively with engineering and product leaders as the organization increasingly incorporates AI into its product strategy, development approach, and internal tooling
• Travel as needed for team and company meetings

What We're Looking For

Required

• 5 to 7 years of experience leading medium to large technical projects or programs in cloud, SaaS, infrastructure, or engineering-focused environments
• Advanced proficiency with Jira Cloud, Jira Advanced Roadmaps, Confluence, and Asana
• Demonstrated ability to lead complex cross-functional work across multiple engineering teams with differing priorities, tools, and delivery styles
• Experience driving alignment, decision-making, and delivery across senior engineers, engineering managers, and cross-functional leaders in a fast-moving environment
• Strong technical fluency and systems thinking, with the ability to understand architecture-level concepts, technical dependencies, and engineering tradeoffs
• Clear understanding of cloud infrastructure, automation, CI/CD, observability, and modern engineering practices, with the ability to apply that context in planning, dependency management, and delivery decisions.
• Proven ability to create clarity in ambiguous situations and translate incomplete information into actionable execution plans
• Track record of identifying delivery risks early, driving mitigation, and improving outcomes through proactive intervention
• Proven ability to describe delivered work in terms of outcomes, metrics, tradeoffs, and business or engineering impact, not just activities completed
• Strong judgment and executive communication skills, including the ability to synthesize complexity into concise, decision-ready updates
• Demonstrated ability to influence without authority and hold teams accountable through partnership, credibility, and follow-through
• Hands-on experience working with Git Hub and related engineering workflow tooling to support planning, execution tracking, issue management, and cross-team coordination.
• Practical interest in AI and emerging technologies, including hands-on use of AI-assisted tools to improve delivery outcomes or team workflows
• Comfort operating in an organization that is actively increasing investment in AI-driven product capabilities and AI-enabled engineering practices

Preferred

• Experience working in Azure, AWS, or GCP-based environments
• Experience working with distributed…