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About the role
MongoDB is looking for a Staff Product Manager to define and execute the strategy for our Developer Tools portfolio. This role will help developers and data practitioners learn about, explore, model, query, and work with data through intuitive, powerful experiences.
The initial scope includes MongoDB Compass and Data Explorer, with the opportunity to shape connected experiences across the broader developer tools ecosystem, including MongoDB Shell, IDE integrations, data modeling, and AI powered developer experiences.
You will operate as a company-wide product leader: setting direction, simplifying complex technical problems, and aligning engineering, design, research, developer advocacy, marketing, sales, support, and adjacent product teams around measurable customer outcomes.
We are looking to speak to candidates who are based in Dublin for our hybrid working model.
WHAT YOU’LL DO
Define the vision, strategy, and multi-year roadmap for developer tools, balancing the needs of individual developers, data experts, application teams, and enterprise customers
Own product strategy for experiences that span desktop, browser, Atlas, and self-managed deployments, creating a coherent journey rather than a collection of disconnected tools
Identify high-impact opportunities in data exploration, querying, performance troubleshooting, schema and data modeling, governance, and observability
Help shape the next generation of AI-assisted and agentic workflows, including natural-language interactions, intelligent guidance, and transparent actions that keep developers in control
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Lead customer discovery with developers, architects, data professionals, and enterprise teams; turn qualitative and quantitative insights into clear product decisions
Partner deeply with engineering and design to frame problems, define requirements, make tradeoffs, and deliver high-quality products from discovery through launch and iteration
Build alignment across teams that contribute to the developer experience, including database, Atlas, AI, client libraries, documentation, developer relations, and go-to-market organizations
Establish outcome-oriented goals and operating metrics, using product analytics, customer feedback, research, and market signals to evaluate progress and adjust priorities
Drive adoption and effective use of new capabilities through thoughtful onboarding, education, packaging, positioning, and field enablement
Communicate product direction and decisions clearly to senior leaders and cross-functional stakeholders, including the rationale behind what we will and will not do
Raise the bar for product management by mentoring other PMs, improving product practices, and modeling strong judgment, customer empathy, and execution
WHAT YOU BRING
6+ years of product management experience, including experience leading complex technical products, platforms, or developer-facing experiences
A track record of defining strategy and delivering products used by technical audiences, ideally across developer tools, databases, cloud platforms, data infrastructure, IDEs, or analytics
Strong technical fluency in software development workflows and database concepts such as querying, schema design, data modeling, performance, and observability
Experience translating ambiguous customer and business problems into focused strategies, product narratives, roadmaps, and prioritized execution plans
Demonstrated ability to lead through influence across multiple engineering and product teams without relying on formal authority
Excellent customer instincts and the ability to move comfortably between user research, product details, business strategy, and executive communication
Experience launching products that require behavior change, ecosystem coordination, or adoption across both self-serve and enterprise customers
Comfort working with AI-enabled product experiences and evaluating where automation, guidance, and human control create the most value
Exceptional written and verbal communication skills, with the ability to make complex technical concepts clear and compelling
A bias toward action, disciplined prioritization, and the judgment to make decisions with incomplete information
NICE TO HAVE
Technical experience as a software engineer, developer advocate, data engineer, solutions architect, or similar role
Experience building desktop applications, browser-based data experiences, IDE extensions, command-line tools, or developer platforms
Familiarity with MongoDB, Atlas, Compass, Data Explorer, MongoDB Shell, VS Code or IntelliJ integrations, MCP, or comparable products
Experience working across cloud and self-managed environments
Experience leading product strategy for AI-assisted developer workflows or agentic systems
HOW SUCCESS WILL BE MEASURED
Developers can discover, understand, and work with MongoDB data more quickly and confidently
The Developer Tools portfolio has a clear, differentiated strategy and a roadmap aligned across product, engineering, design, and go-to-market teams
Adoption, engagement, retention, task success, and customer satisfaction improve for priority workflows
Enterprise customers successfully adopt new capabilities while the products remain approachable for developers getting started
AI-assisted experiences deliver meaningful value while remaining transparent, trustworthy, and easy to control
Cross-product experiences feel coherent, with clear paths between Compass, Data Explorer, and complementary developer tools
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.
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
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