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The Platform Product Manager is a technically fluent product manager who will drive the strategy, roadmap, release & adoption of core infrastructure platforms that power enterprise-scale applications and digital experiences. They are responsible for aligning platform roadmaps with business goals, driving modernization and optimization of our platforms, and ensuring the platforms are well-governed, easy to consume, and fully operational. They will define platform vision, align stakeholders, operationalize platform capabilities, and ensure seamless adoption across engineering and product teams. They work closely with engineering, architecture, FinOps and SRE/operations teams to ensure the platform is reliable, cost-effective and delivers measurable business value. A core focus of the role is enabling self-service consumption through an intuitive, well-documented, high-performing user experience. This position requires strong technical acumen, strategic thinking, user-centric design instincts, and the ability to influence stakeholders with a wide range of technical experience that are at all levels, including leadership.
Job Responsibility:
Define and maintain a clear, forward-looking product roadmap for infrastructure platforms including AI for Technology Operations, Cloud/Edge Platforms and Connectivity in alignment with enterprise priorities
Develop and execute a strategy to operationalize platform capabilities, making them easy to discover, adopt, and integrate across product and engineering teams
Drive a self‑service-first experience by delivering frictionless onboarding, automated provisioning, and reusable components—including templates, integrations, and APIs—that enable teams to adopt and use the platform with ease
Drive platform adoption and ensure users derive value
Drive continuous improvement of platform usability based on customer feedback, data, and adoption patterns
Ensure platforms provide a great user experience by providing clear onboarding paths, high quality documentation and tutorials, integrated observability & usage insights and responsive support and feedback loops
Prioritize features, enhancements, and technical investments balancing business value, user productivity, risk, engineering capacity and long-term architectural direction
Maintain a strong understanding of platform architecture, data movement and platform constraints to inform roadmap decisions
Monitor platform performance, health, reliability, adoption, and cost to ensure accountability for outcomes and inform roadmap adjustments
Provide input into technical discussions and design reviews to guide informed platform choices
Drive alignment across teams and facilitate technical and strategic decision-making
Ensure releases meet governance expectations including security, compliance, operational readiness, cost management and alignment with standards
Lead release communication by preparing clear platform updates, value propositions, enablement materials and stakeholder communications
Communicate complex technical concepts clearly and effectively with audiences ranging from engineering teams to executives
Present platform strategy, roadmap progress, risks, and KPIs in clear, concise narratives
Establish credibility with senior leaders by framing platform decisions in terms of business outcomes, risk posture, and enterprise value
Requirements:
Bachelor’s degree in computer science, engineering or a related technical field
15+ years of experience in platform product management, cloud/infrastructure engineering, observability, AI/ML or similar technical environments
Proven product management skills, including customer and stakeholder research, strategic roadmap development, prioritization, translating business requirements to technical teams, user experience, product adoption and data-driven decision making
Experience defining strategy for modern platforms architectures and hands-on experience with technologies enabling AI and ML Ops
Technical experience with cloud-native architectures (e.g., Azure, GCP) and platforms such as Vertex AI, Agentspace or similar AI platforms
Understanding of responsible AI frameworks, compliance requirements, governance and risk mitigation in technical platforms