- Home
- Jobs
- Product / Owner
- Senior Product Manager, Developer and Agentic Experience
Senior Product Manager, Developer and Agentic Experience
On this page
TechJobs.ie Job Insights
At a glance
- Employment type
- Full-time
- Workplace
- Hybrid
- Category
- Product / Owner
What you'll be doing
Lead the vision and strategy for Developer and Agentic Experience on MongoDB Atlas, focusing on programmatic interfaces (APIs, CLI, IaC) and AI agent integration. Drive adoption, define roadmaps, partner with engineering, and shape product positioning for technical audiences in a hybrid Dublin-based role.
- Own the vision, strategy, and 12-month roadmap for Developer and Agentic Experience
- Simplify customer workflows for deploying, operating, and optimizing Atlas
- Shape Atlas's agentic experience for AI agents and developers
- Drive adoption and revenue growth by identifying high-impact opportunities
- Lead customer discovery and product validation
- Partner with engineering and design to define requirements and deliver products
- Own product positioning, messaging, and go-to-market
- Establish success metrics and use analytics to evaluate progress
Key requirements
Must-have
- 7+ years of product management experience with technical products
- Track record of defining product strategy and delivering products for technical audiences
- Experience growing adoption and revenue for a product
- Ability to translate ambiguous problems into strategies and execution plans
- Ability to lead through influence across teams
- Experience building and scaling products for enterprise and individual developers
- Excellent customer instincts and communication skills
- Comfort with AI-enabled product experiences
Nice-to-have
- Familiarity with MongoDB, Atlas, or similar platforms
- Experience with developer platforms and IaC tools (CLI, APIs, Terraform, cloud tooling)
- Experience building products for AI agents
- Experience with self-serve growth, developer onboarding, or usage-based pricing
- Experience working across cloud and local development environments
Experience: 7+ years of product management experience with technical products
Role signals
- Technical focus
- product management for developer and agentic experiences, programmatic interfaces, and AI agent integration
- Hands-on vs management
- Hands-on
Similar jobs
Full job description
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
Interview prep pack
Grounded in this listing. Use it to prepare examples before you apply.
Your interview focus
Based on this listing, the Senior Product Manager, Developer and Agentic Experience role at MongoDB focuses on defining and executing the strategy for developer and AI agent experiences across MongoDB Atlas, emphasizing programmatic interfaces, workflow simplification, and driving adoption and growth.
- Technical Product Strategy·High
- Developer Experience·High
- AI Agent Integration·Medium
- Cross-functional Leadership·High
Only have 30 minutes?
Follow a focused preparation plan based on this job.
Start 30-minute prep
Your 30-minute plan
Review MongoDB Atlas Documentation
0–8 minFamiliarize yourself with Atlas's APIs, CLI, and IaC features to understand the current developer and agentic experience.
Prepare Product Strategy Examples
8–15 minSelect and outline 1-2 strong examples where you owned product strategy, roadmap, and drove adoption for technical products.
Research AI Agent Use Cases in Cloud Platforms
15–20 minStudy how AI agents are being integrated into cloud infrastructure products and what best practices exist.
Review Metrics and Go-to-Market Approaches
20–25 minRefresh your knowledge on defining product success metrics and executing go-to-market plans for developer tools.
Prepare Questions and Practice Communication
25–30 minDraft thoughtful questions for the interviewers and practice articulating complex technical concepts clearly.
Talking points
, 6 itemsDefining and Executing Product Strategy
Demonstrate your experience owning vision, strategy, and roadmaps for technical products, especially those targeting developers or technical teams.
Programmatic Interfaces and AI Agent Integration
Showcase your understanding of APIs, CLI, Infrastructure as Code, and how AI agents can interact with cloud platforms to automate workflows.
Driving Adoption and Revenue Growth
Prepare examples of how you have identified high-impact opportunities, developed business models, and executed go-to-market plans to grow product usage and revenue.
Customer Discovery and Product Validation
Highlight your approach to gathering qualitative and quantitative insights from developers, platform teams, and enterprise customers to inform product decisions.
Cross-functional Leadership and Communication
Illustrate your ability to lead through influence, partner with engineering and design, and communicate product direction to stakeholders.
Measuring Success and Iterating
Discuss how you establish and track success metrics for adoption, retention, and usage, and how you use analytics and feedback to adjust priorities.
What to research
, 4 itemsMongoDB Atlas Programmatic Interfaces
Review the APIs, CLI, and Infrastructure as Code (IaC) capabilities of MongoDB Atlas, focusing on how developers and platform teams interact with the platform.
AI Agent Integration in Cloud Platforms
Research how AI agents are being used to automate cloud infrastructure operations and what makes a platform agent-friendly.
Product Metrics and Analytics
Understand best practices for defining, tracking, and acting on product adoption, retention, and usage metrics in SaaS or cloud products.
Go-to-Market Strategies for Developer Tools
Study successful go-to-market approaches for technical products, including positioning, messaging, and collaboration with sales and customer success.
Questions to ask
, 6 itemsHow does MongoDB define and measure success for the Developer and Agentic Experience within Atlas?
Why ask this? Clarifies expectations for impact and key metrics in the role.
What are the biggest challenges currently faced by developers and AI agents when building on Atlas?
Why ask this? Identifies immediate pain points and priorities for the team.
How does the product team collaborate with engineering and design to deliver cohesive programmatic experiences?
Why ask this? Reveals the cross-functional dynamics and decision-making processes.
What is the vision for AI agent integration in Atlas over the next 12 months?
Why ask this? Provides insight into the strategic direction and innovation focus.
How are customer insights and feedback incorporated into the product roadmap?
Why ask this? Shows how customer discovery and validation are operationalized.
What opportunities exist for influencing go-to-market strategy and product positioning?
Why ask this? Clarifies the scope of ownership and collaboration with commercial teams.
Register now to upload your CV
Create a free account, save a PDF or Word CV, and quick apply on roles that take applications here.