Staff Product Manager | Cloud Data Platform

SingleStore is building the real-time data platform powering next-generation AI and enterprise applications. We are looking for a Staff Product Manager to lead key areas of our cloud services platform, helping enterprises deploy, operate, and scale mission-critical AI and data workloads globally.

In this role, you will shape the roadmap for core cloud platform capabilities spanning infrastructure, reliability, scalability, security, and developer experience. You’ll partner closely with engineering, design, sales, and customers to define the future of cloud-native data infrastructure.

Role and Responsibilities

• Define and drive the roadmap for SingleStore’s cloud data platform
• Identify opportunities to improve scalability, reliability, security, and developer experience across the platform
• Partner with engineering and design to deliver high-impact cloud platform capabilities for enterprise customers
• Translate customer needs, market trends, and competitive insights into clear product strategy and execution plans
• Work cross-functionally with GTM, support, operations, and professional services teams to ensure successful product adoption and delivery
• Engage directly with customers and ecosystem partners to gather feedback, validate priorities, and influence long-term product and platform direction
• Define success metrics and use data-driven decision-making to evaluate product outcomes and prioritize investments

Your Experience

• 10+ years of product management experience, including experience with cloud platforms or enterprise SaaS products
• Strong technical understanding of distributed systems, databases, cloud infrastructure, or developer platforms
• Experience building products for enterprise customers at scale
• Proven ability to define product strategy and execute complex roadmaps across cross-functional teams
• Excellent written and verbal communication skills, with the ability to simplify complex technical concepts
• Experience partnering closely with engineering, design, GTM, and customer-facing teams
• Comfortable operating in fast-paced environments with evolving priorities

Preferred Qualifications

• Experience with databases, data infrastructure, or real-time analytics platforms
• Familiarity with public cloud platforms such as AWS, Azure, or GCP
• Experience with SaaS operations, observability, reliability, or platform tooling
• Working knowledge of SQL and/or Python
• MBA or advanced degree in a technical field

Why Join SingleStore?

• Shape the future of real-time AI and data infrastructure
• Influence platform strategy used by global enterprise customers
• Work alongside deeply technical engineering and database experts
• Drive innovation across cloud infrastructure, developer tooling, and AI-native workloads
• Help define the next generation of distributed data systems
• Our platform powers real-time analytical and AI workloads for some of the world’s largest enterprises

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SingleStore delivers the cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers. SingleStore is venture-backed and headquartered in San Francisco with offices in Sunnyvale, Raleigh, Seattle, Boston, London, Lisbon, Bangalore, Dublin and Kyiv.

Consistent with our commitment to diversity & inclusion, we value individuals with the ability to work on diverse teams and with a diverse range of people.

To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company.

SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. Certain roles are also eligible for additional rewards, including merit increases and annual bonuses.

For candidates residing in California, please see our