Senior Product Manager - Cloud & AI Infrastructure

About the position

We are seeking a highly technical Senior Product Manager to help lead the evolution of our cloud infrastructure, observability, and developer experience platforms. In this role, you will own key product areas that power Relativity’s AI training, fine tuning, and inference workloads. You will partner closely with Engineering and cross functional stakeholders to translate complex infrastructure needs into scalable, reliable, and developer friendly platform capabilities.

This role is ideal for a product leader who thrives in technical domains, values strong execution, and is motivated by improving developer productivity and infrastructure efficiency at scale.

• 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.
• Partner closely with Engineering to define product requirements for scalable, cloud-native systems.
• Translate complex technical constraints into clear, actionable stories that support iterative delivery.
• Drive improvements to the end-to-end developer experience for infrastructure consumers.
• Identify friction points, define standards and APIs, and contribute to enablement artifacts such as documentation-as-code, guides, and samples.
• 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.
• Work effectively with stakeholders across Engineering, Security, Finance, and Product to align priorities and deliver cohesive platform capabilities.
• Support rollout and adoption of infrastructure capabilities by internal teams and partners through clear communication, documentation, and feedback loops.

• Strong track record delivering platform or infrastructure products and are comfortable owning complex problem spaces from discovery through delivery.
• Can engage in technical discussions around cloud infrastructure, AI workloads, performance, and reliability, and partner effectively with senior engineers and architects.
• Define success through measurable outcomes—improving developer productivity, system reliability, and platform adoption.
• Can explain complex technical concepts to a wide range of audiences and build alignment across cross-functional teams.
• Strong understanding of cloud platforms (AWS, Azure, or GCP) and AI/ML infrastructure patterns across compute, storage, and networking.
• Experience using tools such as Git/Git Hub, Markdown, analytics platforms, and product management tools (e.g., Jira, Confluence, Productboard).
• Familiarity with cloud-native development practices, feature management, experimentation, and iterative delivery.
• Familiarity with modern observability concepts and practices, including metrics, logging, tracing, alerting, and service-level indicators.
• Experience partnering with engineering teams to improve system visibility, incident response, and operational feedback loops in cloud-native environments.
• Agile Methodology
• Innovation
• Leadership
• Market Research
• Market Strategy
• Product Development
• Product Management
• Road mapping
• Team Leadership
• User Experience (UX)

• Competitive base salary
• Annual performance bonus
• Long-term incentives