Posting Type
Remote
Job Overview
At â¯Relativity, we make software to help users organize data, discover the truth, and act on it. Our e-discovery platform is used by more than 13,000 organizations around the world to manage large volumes of data and quickly identify key issues during litigation, internal investigations, and compliance projects.â¯Job Description and Requirements
As a Senior Product Manager in Engineering Systems, you will oversee key aspects of the internal and external developer experience, including:
Deliver products that embed AI into the end-to-end software lifecycle (plan, build, test, ship, and run), including AI-assisted development, agentic workflows, and automated operations that reduce toil and improve reliability.
Own the org-wide mechanism that ensures every engineering team provisions and manages infrastructure viaInfrastructure as Code (IaC)âincluding standards, reusable modules/templates, policy-as-code guardrails, CI/CD integration, andadoptionmetrics.
Serve as the tip-of-the-spear for cloud transformation by creating faster, automated, and turnkey self-service pathways that increase developer velocityâleveragingAI-native platform capabilities to automate away repetitive work and improve developer satisfaction.
About Product Management within Engineering Systems
Our Engineering Systems Product Management team focuses on three key principles â delivering tangible value to customers iteratively andfrequently, having a bias to action, and leading collaboratively. We believe that innovation comes from research andexpertisebeing paired with data-driven experimentation and iterative development. If you have working experience in building great platform capabilities,scaling adoption for game-changing innovation,and love delivering real value to users through frequent iterations,youâllbe right at home in Engineering Systems!
Role Responsibilities:
Craft and shape the product strategy and portfoliothat advances an AI-first developer experience and is shaped by our cloud transformationâaligningnumerousstakeholders behind a cohesive roadmap that spans product, technology, enablement, and adoption.
Discover and deeply understand both internalengineering,external customer needs, and market researchtoidentifyAI-first approaches that superpower productivity across critical build, test, deployment, release, and operational workflowsâincluding driving standardizedInfrastructure as Code (IaC)adoption via clear incentives, guardrails, and self-service âgolden paths.â
Clearly communicate product vision, strategy, and roadmapfor AI-first developer workflows to audiences ranging from internal/external stakeholders to senior leaders and customers, translating complex technical concepts (AI capabilities, risk, and tradeoffs) into clear outcomes.
Lead with a data-driven approach,utilizingbothqualitative and quantitative data fromdeep user,customer,market, competitiveâ¯insightand data to articulate clear long-term product vision,identifynew strategic opportunities,and gain organizational buy-in.
Manage effectively viaObjectives and Key Results alongsideleading indicatorsof product health and project success; drives tactics based on insights from portfolio metrics and reporting.
Own the operation of their portfolio,including revising roadmaps based on real-time signals,facilitatingprioritization, and defining success metrics (e.g., developer productivity, quality, reliability, and AI feature adoption) thatdemonstratecustomer outcomes.
Build a scalable developer enablement flywheelby capturing best practices from early adopters, packaging them into reusable guidance (samples, templates, tutorials), and measuring impact via adoption and productivity metrics.
Mentor and coach junior team membersby leading by example, welcoming feedback, improving team operations, and contributing to team-wide initiatives.
Depending onsituation,serve as a playerandcoach byjumping in to translate high-levelobjectivesinto low-level storieswith requirements for improving your teamâs products.
Preferredqualifications:
Solid understanding of software development lifecycle and agile
Ability toleverageAI tools and AI-enabled workflows to accelerate day-to-day product management tasks, and to scale this impact by sharing best practices and enablement across the company.
Familiarity and comfort with data,â¯includingabilityto use data to analyze andmonitorproduct health, set goals, back up assumptions, and track success.â¯
You are excited and curious abouthighly complexproblems, systems, and interactions
A team player with proven ability tovalidatesolutions and deliver features frominceptionto delivery
Strong tactical execution with the ability to handle multiple projects simultaneously
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