Summary written by USA Jobs 24 from MongoDB's advert and our data on 16,959 current US jobs. How we check every job
At a glance
MongoDB is hiring a Senior Product Manager, Marketing AI in Seattle, WA. It is a full-time role in Data, AI & Analytics, asking for at least 7 years of experience, first listed on November 6. The description mentions Generative AI, Salesforce, AWS, Google Cloud and Azure. MongoDB has 99 other openings in the US, 9 of them in Seattle, WA. Across all employers on USA Jobs 24 there are 167 Data & AI openings in Seattle, WA today; the typical one asks for 6 years and advertises about $217,000 a year at the midpoint.
How the pay compares
MongoDB has not published pay for this job, or we could not find it in the advert. Of the 229 data & AI jobs in Washington on USA Jobs 24, 67% show pay, and the typical yearly midpoint among them is $216,000. That gives you a fair starting point when the subject comes up. Washington has a pay transparency law that requires most employers to give a pay range for jobs there, so it is reasonable to ask the recruiter for it.
Skills in this advert
How often each skill named in this advert appears across the 1,762 data & AI jobs we list today. Generative AI is the most widely requested (35% of jobs), while Salesforce is the least common (4%). Widely requested skills are what employers expect as a baseline; rarer ones show what is special about this job.
Paste your resume and this advert into our resume match tool to see which of these words your resume already covers.
Before you apply
- Check it is still open. We found this job on MongoDB's Greenhouse site on November 6 and checked it again November 6, 5:17 AM ET. When an employer takes a job down, we remove it at our next daily update.
- Check the location works for you. This role is based in Seattle, WA. If you would need to move, ask whether relocation help is offered.
- Match the experience. The advert asks for at least 7 years of experience. If you are a little short, a close match on the skills in the advert can still win an interview.
- Tailor your resume. Use the advert's own words, such as Generative AI, Salesforce and AWS, wherever they are true for you. Our resume guide shows how.
- Apply only through MongoDB's own site. Our Apply button goes straight to MongoDB's Greenhouse page. If anyone contacts you about this job and asks for money, gift cards or bank details, stop and check it with our scam checker. Read how to spot a fake job offer.
About hiring at MongoDB
MongoDB has 100 openings on USA Jobs 24 today across 18 states. Most are in software & IT (35), sales & BD (13) and customer service (10). The biggest locations are New York, NY (50), Austin, TX (28) and Palo Alto, CA (22). 12% of them are remote, 4% are open to entry-level candidates and 87% show pay. We collect MongoDB's jobs every day straight from its own careers system (Greenhouse), never from job boards or agencies.
The employer's advert
This is MongoDB's own description of the job, copied word for word from its careers site. We have not edited it.
Show the full advert from MongoDBHide the advert771 words
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
USA Jobs 24 copied this listing from MongoDB's official careers site on November 6, 2026 and checked it again November 6, 5:17 AM ET. MongoDB will never ask you to pay to apply or to buy equipment with a check they send you. If anyone does, it is a scam.
Something wrong with this listing? Tell us and we will look into it.
Get data & AI jobs in Washington by email
Similar data & AI jobs in Seattle, WA
Principal Product Designer, AI
Atlassian
Lead the strategic vision and conceptual design outcomes which provide a clear direction for our customer experiences across the AI landscape
- San Francisco, CA; Seattle, WA
- Remote
- 10+ yrs
NewSenior Data Engineer
Atlassian
Partner across engineering organizations to spearhead and execute high-impact, company-wide initiatives,. Mentor and upskill junior engineers, fostering a culture of technical excellence and…
- Austin, TX; Mountain View, CA +3
- Remote
- 6+ yrs
NewSenior Engineering Manager - Core Engineering, Trusted Data Platform
Atlassian
Lead, coach, and develop engineering managers and engineers, establishing clear expectations and accountability.
- Seattle, WA; San Francisco, CA +4
- Remote
NewSenior Finance Manager, AI & Infrastructure
Atlassian
Serve as a strategic Finance business partner for Central AI (partnering across, Engineering, Product and BizOps), providing financial thought leadership and helping influence investment…
- Seattle, WA; San Francisco, CA
- Remote
- 10+ yrs
NewSenior Machine Learning Engineer
Atlassian
Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and…
- Seattle, WA
- Remote
New