Staff Product Manager
MongoDB is hiring a Staff Product Manager in Dublin, Ireland. Level rates it ; you can apply on MongoDB.
Level's read on this job
- Works on AI ●●●○ is how Level rates this AI product manager role: the daily work is on AI products, without building the model.
- The posting mentions MongoDB Compass, MongoDB Shell and AI agents among its tools and skills.
- Level classes it as a senior role.
- MongoDB has 357 other open roles on Level.
AI in this role
Lead product strategy for developer tools, shaping AI-assisted workflows and data exploration features.
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
- 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.
MongoDB is an equal opportunities employer.
Req ID: 3273538788
How we rate this
Staff Product Manager at MongoDB rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in AI product manager jobs at this level
Pay
- Typical AI product manager job
- $178k
This posting doesn't list pay. Use the typical AI product manager figure when pay comes up. See AI product manager jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where developer tools was part of your work. What did you do?
- Tell me about a project where data modeling was part of your work. What did you do?
- Tell me about a project where ai workflows was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Product Management, Developer Tools, Data Modeling, and AI Workflows. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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