Senior Product Manager, Developer and Agentic Experience
MongoDB is hiring a Senior Product Manager, Developer and Agentic Experience 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 AI agents among its tools and skills.
- Level classes it as a senior role.
- MongoDB has 369 other open roles on Level.
- Posted in the last few days.
AI in this role
MongoDB is looking for a Senior Product Manager to define and execute the strategy for our Developer and Agentic Experience across MongoDB Atlas which is our best-in-class, fully managed, multi-cloud database service.
In this role, you will shape how developers, platform teams, and AI agents build on and operate Atlas through programmatic interfaces such as APIs, CLI, Agent Skills, and Infrastructure as Code (IaC). You will turn complex infrastructure operations into intuitive, reliable, and increasingly automated experiences that accelerate customer adoption and drive Atlas growth.
You will own the vision, strategy, and 12-month roadmap, including how Atlas evolves to support AI agents. AI agents are changing how teams build and operate cloud infrastructure, and this role will shape how Atlas leads that change.
We are looking to speak to candidates who are based in Dublin for our hybrid working model.
What you’ll do
- Own the vision, strategy, and 12-month roadmap for Developer and Agentic Experience, balancing the needs of developers, platform teams, enterprise customers, and the AI agents.
- Simplify how customers build and operate Atlas by evolving individual programmatic capabilities into cohesive, end-to-end workflows for deploying, operating, and optimizing Atlas
- Shape Atlas's agentic experience by making Atlas easy for AI agents to discover, understand, and safely operate, while keeping developers in control
- Drive adoption and revenue growth by identifying high-impact opportunities across programmatic experiences and defining their business models, pricing, and packaging
- Lead customer discovery and product validation with developers, platform teams, and enterprise customers, translating qualitative and quantitative insights into product decisions
- Partner closely with engineering and design to frame problems, define requirements, make tradeoffs, and deliver high-quality products from discovery through launch and iteration
- Own product positioning, messaging, and go-to-market for your products, translating product value into compelling customer narratives and driving launches and adoption in partnership with Sales and Customer Success
- Establish clear success metrics for adoption, retention, and Atlas consumption through programmatic usage, using product analytics, customer feedback, and market signals to evaluate progress and adjust priorities
- Communicate product direction and decisions clearly to senior leaders and cross-functional stakeholders, including the rationale behind what we will and will not build
What you’ll bring
- 7+ years of product management experience, including ownership of complex technical products used by developers or technical teams
- A track record of defining product strategy and delivering products used by technical audiences, ideally across developer tools, CLIs, APIs, agentic platforms, Infrastructure-as-code(IaC), or cloud platforms
- Experience growing adoption and revenue for a product, including business cases, pricing and packaging, and go-to-market plans
- Experience translating ambiguous customer and business problems into focused strategies, product narratives, roadmaps, and prioritized execution plans
- Demonstrated ability to lead through influence across engineering and product teams without relying on formal authority
- Experience building and scaling products for enterprise customers and individual developers, balancing the needs of large organizations, technical teams, and individual developers
- Excellent customer instincts, including the ability to lead high-stakes conversations with 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
- Familiarity with MongoDB, Atlas, or comparable database or cloud platforms
- Experience with developer platforms and infrastructure as Code(IaC) tools such as CLI, APIs,Terraform or cloud provider tooling
- Experience building products for AI agents, such as MCP servers, agent skills, or AI coding tool integrations
- Experience with self-serve growth, developer onboarding, or usage-based pricing
- Experience working across cloud and local development environments
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: 3273599996
How we rate this
Senior Product Manager, Developer and Agentic Experience at MongoDB rates 71 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
- $180k
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?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: AI agents. 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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