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Open nowPosted 6 hours ago

Senior Product Manager, Marketing AI

MongoDB361 open roles

Where
Dublin, Ireland
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Your applicationOpen nowSenior Product Manager, Marketing AIMongoDB · Dublin, Ireland

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The clock on this job

Early applications get read.

13.4% of postings close within 7 days. Measured by our own scanner across the market. MongoDB postings stay open a median of 56 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.6%3 days
  3. 13.4%7 days
  4. 21.6%14 days
  5. 36.2%30 days
  6. 59.0%60 days
This job: posted 6 hours ago

MongoDB median: 56 days open

The posting

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

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