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Head of AI Partnerships & Ecosystem Strategy

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: MongoDB
Full Time position
Listed on 2026-05-29
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Business Systems/ Tech Analyst, Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Requirements

  • This is a high-impact role requiring expertise in partnership development, technical acumen, and the ability to collaborate across teams and organizations
  • ,
  • 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
What the job involves
  • We’re looking for an experienced and innovative business development and partnerships specialist to help accelerate Mongo

    DB’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 Mongo

    DB as their backend database
  • ,
  • They will source and structure integrations, define joint value propositions, and drive co-selling motions to make Mongo

    DB the default data layer across the AI platform ecosystem
  • ,
  • 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 Mongo

    DB’s partnerships with these key players
  • ,
  • Partnership Development:
    Identify, recruit, and activate strategic partnerships across complementary AI infrastructure. Negotiate effective deal structures and maintain Mongo

    DB’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 Mongo

    DB goals
  • ,
  • Cross-Functional Collaboration:

    Work with teams across Mongo

    DB—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 Mongo

    DB’s impact on top-of-funnel growth. Refine strategies based on data-driven insights
  • ,
  • Community Engagement:
    Represent Mongo

    DB at relevant industry events, conferences, and communities, ensuring resources and content are accessible to target audiences
  • ,
  • Success Measures
  • ,
  • 3 Months:
    Gain a deep understanding of Mongo

    DB’s products, ecosystem strategy, and internal workflows while building relationships with key stakeholders for 2-3 known priority work streams
  • ,
  • 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
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