MongoDB Logo

MongoDB

Principal, Strategic AI Partnerships

Posted An Hour Ago
Be an Early Applicant
Easy Apply
Hybrid
San Francisco, CA, USA
130K-162K Annually
Senior level
Easy Apply
Hybrid
San Francisco, CA, USA
130K-162K Annually
Senior level
The Principal, Strategic AI Partnerships will drive partnerships with AI infrastructure providers, lead technical initiatives, and ensure the adoption of integrations to enhance MongoDB's AI capabilities.
The summary above was generated by AI

We’re looking for an experienced and innovative business development and partnerships specialist to help accelerate MongoDB’s vision by building and scaling high-impact partnerships with strategic and complementary AI infrastructure providers. This includes frameworks, hyperscalers, observability platforms, model labs, and other technologies that empower developers to build modern AI applications. To start, this individual will lead the strategy and execution of technical and GTM partnerships with AI-forward platforms, such as Vercel, Lovable, and Replit, that empower developers and agents to build AI and agentic applications on MongoDB as their backend database. They will source and structure integrations, define joint value propositions, and drive co-selling motions to make MongoDB the default data layer across the AI platform ecosystem. This is a high-impact role requiring expertise in partnership development, technical acumen, and the ability to collaborate across teams and organizations.

We're looking to speak with candidates based in the San Francisco Bay Area for our hybrid working model.

What You’ll Do
  • Ecosystem Strategy: Develop a deep understanding of the AI infrastructure landscape, including hyperscalers, observability platforms, frameworks, model labs, and developer tools. Collaborate with internal teams to define priorities and strengthen MongoDB’s partnerships with these key players
  • Partnership Development: Identify, recruit, and activate strategic partnerships across complementary AI infrastructure. Negotiate effective deal structures and maintain MongoDB’s relevance and prominence within these ecosystems
  • Partner Success: Design and lead initiatives that drive adoption of validated integrations, ensure high-quality results, and maintain strong alignment with partner and MongoDB goals
  • Cross-Functional Collaboration: Work with teams across MongoDB—including Product, Sales, Pre-Sales, Marketing, and Legal—alongside partner organizations, to deliver impactful outcomes through technical validations, joint roadmaps, and exceptional developer experiences
  • Measurement of Success: Establish metrics to measure the effectiveness of AI-focused ecosystem partnerships and report on MongoDB’s impact on top-of-funnel growth. Refine strategies based on data-driven insights
  • Community Engagement: Represent MongoDB at relevant industry events, conferences, and communities, ensuring resources and content are accessible to target audiences
Who You Are
  • Experienced: 8+ years of experience in business development, partnerships, product management, or program management, with a demonstrated ability to manage complex technical initiatives from ideation to execution
  • Strategic & Tactical: Proven ability to think both at a high level and dive into details to solve problems and create opportunities
  • Skilled Negotiator: Experience negotiating complex agreements with partners and driving their implementation to deliver exceptional outcomes
  • Technically Strong: You have a technical aptitude to understand AI infrastructure workflows and developer ecosystems, paired with analytical skills that help guide decision-making
  • Collaborative Communicator: Strong verbal and written communication skills—tailored to engage audiences ranging from developers to executives across internal and external teams
  • Program Leader: Proven ability to align stakeholders, direct cross-functional processes, and execute high-value initiatives that drive measurable results
  • Self-Starter: You thrive in fast-paced environments, take ownership of initiatives, and can independently deliver results while rallying others around high-priority opportunities
Success Measures
  • 3 Months: Gain a deep understanding of MongoDB’s products, ecosystem strategy, and internal workflows while building relationships with key stakeholders for 2-3 known priority workstreams
  • 6 Months: Establish an internal working team, prioritize initial partnerships, initiate outreach, define joint value propositions, and execute on some quick wins
  • 12 Months: Successfully lead multiple cross-functional initiatives, demonstrating measurable business impact and meaningful adoption through key AI infrastructure partnerships
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 over 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: 1273404067

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:
$129,600$162,000 USD

Top Skills

Ai Infrastructure
Developer Tools
Hyperscalers
Model Labs
Observability Platforms

MongoDB Palo Alto, California, USA Office

499 Hamilton Avenue, Palo Alto, CA, United States, CA 94301

MongoDB San Francisco, California, USA Office

88 Kearny Street, San Francisco, CA, United States, 94108

Similar Jobs at MongoDB

An Hour Ago
Easy Apply
Remote or Hybrid
2 Locations
Easy Apply
126K-248K Annually
Mid level
126K-248K Annually
Mid level
Big Data • Cloud • Software • Database
In this role, you will promote MongoDB's AI capabilities, engage with developers, create educational content, and build partnerships with AI companies.
Top Skills: AIJavaScriptMlMongoDBPython
An Hour Ago
Easy Apply
Hybrid
San Francisco, CA, USA
Easy Apply
118K-231K Annually
Mid level
118K-231K Annually
Mid level
Big Data • Cloud • Software • Database
The Product Manager will lead API development and adoption, work with engineering and design teams, and engage customers to improve developer experiences and optimize product offerings.
Top Skills: AIAPIsCloud ServicesMlSdks
An Hour Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
75K-75K Annually
Mid level
75K-75K Annually
Mid level
Big Data • Cloud • Software • Database
The Inside Account Executive drives sales strategy within strategic accounts, focusing on closing new workloads and expanding MongoDB's presence.
Top Skills: CloudSaaS

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account