Senior Product Manager – Core Platform Infrastructure

As Senior PM for Cloud Platform Infrastructure at SAP Dremio, you will own the strategy and roadmap for the foundational systems that power SAP Dremio Cloud services — including the control and data planes, networking and regional infrastructure, and service metrics and reliability. Your vision is to make SAP Dremio a platform that enterprises trust completely: always available, continuously optimised, and effortless to operate at any scale, in any region. Customers should never have to think about performance, management or infrastructure — it should just work, and work well.

You will raise the bar on what enterprise-grade means: from how customers access their data, to how the platform self-optimises under the hood, to how confidently organisations can expand into new regions and deployment models. The best version of this platform is invisible to customers in the best possible way — secure by default, fast without configuration, and compliant without friction.

This role requires strong technical depth, independent judgment, and the ability to engage credibly in technical discussions across engineering, cloud operations, and security — driving alignment and outcomes without needing to own the architecture itself.

• Own the product strategy and roadmap across cloud platform service infrastructure and service reliability, balancing long-term platform integrity with pragmatic delivery.
• Define and drive the vision for regional infrastructure and expansion — making SAP Dremio available, performant, and cost-efficient wherever customers need it, through repeatable and policy-driven deployment models.
• Lead internal infrastructure observability and reliability strategy — defining the metrics, logs, traces, SLOs, and alerting that surface meaningful health signals to internal teams and customers.
• Drive operational capabilities that allow the platform to scale sustainably — including provisioning, upgrades, capacity planning, self-healing behaviour, and cost optimisation.
• Define the operational model for private and sovereign service deployments, ensuring consistency, supportability, and scalability across deployment types.
• Use telemetry, reliability data, and customer signals to identify gaps, validate improvements, and continuously raise the bar on platform quality.
• Collaborate closely with UX Design, Engineering, Cloud Ops, Security, Finance, and RevOps to ensure platform capabilities are operable, secure, and commercially aligned.
• Own documentation of all product requirements, deliverables, and user enablement content.
• Drive clear communication across engineering and support teams to ensure product-related issues transition smoothly through defined channels.

• 5–8+ years of Product Management experience in SaaS, cloud infrastructure, or distributed systems environments.
• Hands-on experience building or scaling a control and data plane services, with a strong understanding of cloud-native architectures, networking models, and distributed systems.
• Experience working closely with engineering teams on highly technical initiatives.
• Ability to independently engage in technical conversations and influence senior engineering stakeholders.
• Experience using telemetry and reliability metrics to inform product decisions.
• General understanding of enterprise identity, access management, and governance models.

• Self-motivated and proactive, comfortable operating in ambiguity.
• Technically confident with strong structured thinking and sound decision-making ability.
• Clear and concise communicator capable of bridging technical and business audiences.
• Thrives in a hyper-growth environment where priorities evolve and ownership is essential.
• Strong ownership mindset with high accountability and a bias toward action.

• Background in distributed systems, infrastructure engineering, or DevOps.
• Familiarity with Kubernetes-based systems.
• Experience with global or multi-region cloud and distributed system deployments.
• Familiarity with enterprise security, governance, and compliance frameworks.
• Exposure to sovereign or private cloud deployment models.
• Comfortable using AI tools for prototyping, rapid iteration, and accelerated product delivery.