Senior Product Manager - Cloud & AI Infrastructure

Posting Type

Hybrid

Job Overview

Job Description and Requirements

Product Vision

Enable a resilient, scalable, and secure cloud infrastructure that supports Relativity One's AI capabilities-making advanced AI workloads reliable, costeffective, and easy for internal teams and partners to adopt.

Mission

Empower Internal Engineering, Partner Developers, and AI Research teams through a cloudnative infrastructure ecosystem. The platform will optimize performance and cost efficiency, provide strong tenant isolation, and deliver a consistent, highquality developer experience for building and operating AI workloads.

The Role

As a Senior Product Manager, you will own a defined portion of our cloud and AI infrastructure portfolio. You will work at the intersection of product strategy and execution-driving discovery, defining roadmaps, and partnering with engineering teams to deliver highimpact capabilities that scale to production.

You will focus on turning strategic direction into tangible outcomes, ensuring that infrastructure capabilities are reliable, observable, and easy to consume by developers.

Core Responsibilities

• Product Strategy & Roadmapping:Own and evolve the roadmap for assigned cloud infrastructure and AI platform capabilities. Clearly articulate product goals, priorities, and tradeoffs, grounded in customer and developer needs.

• Technical Partnership & Delivery: Partner closely with Engineering to define product requirements for scalable, cloudnative systems. Translate complex technical constraints into clear, actionable stories that support iterative delivery.

• Developer Experience Ownership: Drive improvements to the endtoend developer experience for infrastructure consumers. Identify friction points, define standards and APIs, and contribute to enablement artifacts such as documentationascode, guides, and samples.

• DataDriven Decision Making:Define and track key product metrics related to adoption, performance, reliability, and cost efficiency. Use data and customer feedback to inform prioritization and measure success.

• CrossFunctionalCollaboration: Work effectively with stakeholders across Engineering, Security, Finance, and Product to align priorities and deliver cohesive platform capabilities.

• Adoption & Enablement: Support rollout and adoption of infrastructure capabilities by internal teams and partners through clear communication, documentation, and feedback loops.

Who You Are

• Experienced Product Manager: You have a strong track record delivering platform or infrastructure products and are comfortable owning complex problem spaces from discovery through delivery.

• Technically Fluent: You can engage in technical discussions around cloud infrastructure, AI workloads, performance, and reliability, and partner effectively with senior engineers and architects.

• ExecutionFocused and OutcomeDriven: You define success through measurable outcomes-improving developer productivity, system reliability, and platform adoption.

• Clear Communicator: You can explain complex technical concepts to a wide range of audiences and build alignment across crossfunctional teams.

Technical Skills & Tools

• Cloud & Infrastructure: Strong understanding of cloud platforms (AWS, Azure, or GCP) and AI/ML infrastructure patterns across compute, storage, and networking.

• Product & Collaboration Tools: Experience using tools such as Git/GitHub, Markdown, analytics platforms, and product management tools (e.g., Jira, Confluence, Productboard).

• Product Practices: Familiarity with cloudnative development practices, feature management, experimentation, and iterative delivery.

• Observability & Operations: Familiarity with modern observability concepts and practices, including metrics, logging, tracing, alerting, and servicelevel indicators. Experience partnering with engineering teams to improve system visibility, incident response, and operational feedback loops in cloudnative environments.

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Required Skills: