Senior Product Manager, Marketing AI

Senior Product Manager, Marketing AI
Company: MongoDB
Location: Dublin, Ireland
Department: Marketing Operations
About the Role
We are looking for a Product Manager to own the marketing agent layer as a product: the agents marketers interact with, the marketing workflows those agents execute, and the context that makes agentic output reliable. You will treat the marketing organization as your user base and the agent layer as your product.
This is a build-together role. The agent layer runs on an orchestration and execution tier owned by the Marketing Automation team. You articulate which workflows go agentic, in what order, and why; the Automation team decides how agents are allowed to act in systems of record and owns the path from prototype to production. You bring the product discipline, the user understanding and the delivery cadence. The ideal candidate has shipped AI in internal systems teams, has product ownership experience, and understands how a B2B marketing organization plans, executes, and measures campaigns.
We are looking to speak to candidates who are based in Dublin for our hybrid working model.
Key Responsibilities
Own the product roadmap for the marketing agent layer: prioritize use cases by business impact, feasibility and risk, and propose delivery sequencing
Map marketing processes end to end, identify where agents remove or reshape steps, and publish the target-state process before an agent is built
Write requirements, acceptance criteria, and success metrics for each agent workflow, and define the system actions each workflow needs
Co-author the agent governance standard with other marketing technology teams
Run cross-functional forums to surface dependencies, resolve blockers and keep Marketing, Data and platform teams aligned
Own user communication and backlog impact when agents fail
Measure and report adoption, roadmap status, risks and decisions to stakeholders from individual contributors to executives in plain language
Drive adoption across marketing with enablement, documentation, office hours and feedback loops
Skills and Qualifications
Required
7+ years in Product Management, Marketing Technology, Marketing Operations or Platform roles
Working knowledge of MCP-based integrations, agent frameworks and LLM APIs and how they connect to enterprise systems
Understanding of the marketing stack (marketing automation, CRM, CDP, product analytics, orchestration and BI) and how marketing teams use it end to end
Track record of taking a capability from prototype to adopted standard across a large organization, with evidence that adoption persisted
Comfort working with data: defining KPIs, querying or reading analytics, and using data to make prioritization decisions
Track record of delivering through teams you do not manage: aligning platform owners, engineers and security on a shared design and keeping momentum without direct authority
Clear written and verbal communication across technical and business audiences
Preferred
Experience in a high-growth B2B SaaS or developer-focused company with a product-led or consumption business model
Hands-on experience building agent workflows: writing and iterating prompts, structuring context, defining tools, and evaluating output quality
Experience with Marketo, Salesforce, Segment, Mixpanel or Adobe Experience Cloud
Experience with workflow automation and integration platforms (for example Workato) or building internal tooling on them
Familiarity with AI governance frameworks, data privacy requirements and model risk management
Bachelor's degree in Computer Science, Information Systems, Marketing or a related field
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: 4273608237