Staff Product Marketing Manager

Posted 6 Hours Ago
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Austin, TX
Hybrid
104K-204K Annually
Senior level
Big Data • Cloud • Software • Database
MongoDB empowers innovators to create, transform, and disrupt industries by unleashing the power of software and data.
The Role
The Staff AI Technical Product Marketing Manager will enhance MongoDB's AI market positioning, create technical content, and work collaboratively with cross-functional teams to educate developers on AI applications.
Summary Generated by Built In

We are hiring a Staff AI Technical Product Marketing Manager to help craft and strengthen MongoDB’s AI positioning and messaging. This role’s focus spans developers and technical decision makers. This person will need both hands-on technical depth (e.g., experience building as a PM or engineer, developing meaningful side projects, or working in technical sales or marketing) and product marketing expertise to help drive strategic go-to-market activities. This person will need to have the ability to stay on top of emerging AI technologies, quickly perform research, and form points of view on MongoDB’s position in the market. This person evokes confidence in both one-to-one and one-to-many (e.g., webinars and events) engagements, whether internal to MongoDB or externally through MongoDB marketing activities.

This role presents an exciting opportunity to play a key role in driving further education and increasing mindshare for MongoDB among developers building today’s most cutting-edge applications. You’ll be a member of a high-performing, globally distributed team dedicated to giving developers a best-in-class experience. You’ll work closely with an exceptional group of cross-functional peers across the rest of Marketing, Developer Relations, Product Management, Engineering, Partners, and more. 

This role can be in-office or hybrid in one of our US offices, or based remotely in the US.

Responsibilities
  • Collaborate with our Marketing, Developer Relations, Product Management, Engineering, Partner Marketing, and field (sales, CS, and solutions architects) teams to create and execute initiatives that strengthen MongoDB’s position as the market-leading data foundation for developers building AI applications
  • Empower our Marketing, Sales, and Customer Success teams with concise, creative, and technically rich positioning and messaging that builds a preference for MongoDB among developers
  • Build compelling technical content (e.g., blog articles, architectural diagrams, tutorials, demos) that educates developers on how and why MongoDB is the best data platform for their AI stack
  • Serve as a technical subject matter expert who drives awareness and adoption of MongoDB’s AI search and retrieval capabilities
Qualifications
  • Minimum of 8-10 years of experience in product marketing, product management, developer relations, or solutions engineering, particularly with B2B SaaS, enterprise-scale cloud services, and/or developer-facing products. Other roles and experiences related to developer marketing may also be considered
  • Experience building RAG and agentic applications or projects using leading LLMs and AI frameworks. Bonus points if this is a public project used by developers building applications
  • Experience presenting to and educating non-technical and technical audiences on complex topics related to databases, search, and AI applications
  • Excellent written and verbal communication skills, and the ability to lead with a point of view and create high-quality technical content under tight deadlines
  • Ability to thrive in fast-paced collaborative environments, effectively engaging with cross-functional teams and external partners, while also being able to move the ball forward independently 
  • A low ego-to-talent ratio and collaborative spirit
Success Metrics
  • Within the first three months, you will have established working relationships with key stakeholders across Marketing and Product. You have started building technical resources that strengthen MongoDB’s AI story
  • Within the first six months, you will be familiar with the existing resources (technical and non-technical) used to promote MongoDB’s AI search and retrieval capabilities—text search, vector search, embedding models and rerankers, AI framework integrations, and the MongoDB MCP Server. You will have established strong points of view on MongoDB’s place in the AI landscape, as well as an agenda for further strengthening MongoDB’s AI story
  • Within the first twelve months, you will have meaningfully impacted MongoDB’s market position, setting us up to drive further adoption of search and retrieval capabilities for AI workloads
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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—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, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 4263307447

MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.

MongoDB’s base salary range for this role in the U.S. is:
$104,000$204,000 USD

Top Skills

AI
Cloud Services
Databases
Llms
Mongodb Atlas
SaaS

What the Team is Saying

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The Company
HQ: New York, NY
5,550 Employees
Year Founded: 2008

What We Do

The database market is big. How big? Well, according to IDC, it’ll reach $153 billion by 2027. And MongoDB is at the forefront of that innovation with thousands of customers across the globe. We empower developers and businesses to build and deploy the applications they want, wherever they want.

Why Work With Us

We are ambitious. We are passionate about creativity. And we believe the best paths are the ones we have yet to forge.

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MongoDB Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

MongoDB provides multiple working model options for our employees, including the flexibility to work from home to opportunities for collaboration and social interaction in a MongoDB office.

Typical time on-site: Flexible
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