The opportunity
The MongoDB Query Team is seeking a Senior Staff Product Manager to provide division-wide, product leadership for our fast, modular distributed query engine and flexible query system. As the most senior product management contributor, you will shape the multi-year strategy,…
What you'll do
Product Vision and Roadmap: Spearhead strategic unity across multiple product areas over a multi-year horizon to drive a coherent product experience
Business Leadership: Originate and de-risk the division’s most consequential strategic bets, owning rigorous business cases and advising leadership on multi-year economic outcomes
Customer Advocacy: Engage with strategically significant customers at the senior level (e.g., advisory boards and executive briefings) to surface cross-portfolio opportunities and inform the roadmap
PM Excellence: Elevate the global standard of product management by mentoring Staff and Senior PMs and pioneering new data-driven playbooks across the organization. Create frameworks and standards for customer and market research that others use for conducting high-quality customer and market research
Cross-Functional Alignment and Execution: Partner with Directors and VPs to shape investment allocation and sequencing across the query, developer experiences, and core database portfolio
Market and Engagement: Act as a primary external face for the product line, representing MongoDB to the industry, developers, standards bodies and at major conferences
What they're looking for
- Experience: 10+ years of professional experience, including significant: leadership in product management for platform, infrastructure, or database domains
- Communication: Exceptional ability to communicate complex technical issues simply and convincingly to a wide range of audiences, including executive leadership
- Strategic Execution: Proven success in delivering complex cross-functional projects and the ability to write, defend, and execute on multi-year business cases
- Education: B.Sc. in a technical discipline, with Computer Science preferred, or equivalent relevant experience
- Domain Expertise: Deep technical fluency in database query engines, query languages (SQL, MQL, etc.), developer experiences, distributed systems, and potentially AI platform tooling or LLM orchestration
