Senior Staff Product Manager
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Key skills for this role
Key Skills for This Role
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Responsibilities
- 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 Atlas Clusters 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
Requirements
- 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 Databases, distributed systems, and cloud infrastructure
Nice to Have
MBA, M.Sc., or Ph.D. in relevant technical or business domains
Experience with MongoDB or other non-relational database technologies
Demonstrated success leading products targeting developer personas in fast-paced, growing environments
Familiarity with open-source and cloud-native technologies
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID: 3273519782
About MongoDB
Developer data platform built around the popular document database, enabling teams to build and scale modern applications with flexible data models.
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