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Principal, Strategic AI Partnerships

MongoDB · San Francisco · Hybrid · Active · Greenhouse

Job facts

FieldValue
CompanyMongoDB
TitlePrincipal, Strategic AI Partnerships
Normalized title-
Department / teamPartner Programs
LocationSan Francisco, CA, United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary-
Statusactive
ATS providerGreenhouse
Posted / first seen2026-04-03 / 2026-05-29
Changed / last seen2026-06-06 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from MongoDB.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Department jobsActive postings in Partner Programs.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyMongoDB
Source88998ec6-cc1d-48ba-a390-4f081dbd8e53
ATS providerGreenhouse

Description

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: $162,400 — $203,000 USD

Full job record

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Source ID88998ec6-cc1d-48ba-a390-4f081dbd8e53
Board ID88998ec6-cc1d-48ba-a390-4f081dbd8e53
Providergreenhouse
Provider Job Key7774143
TitlePrincipal, Strategic AI Partnerships
Normalized Title
Statusactive
Activeyes
Location TextSan Francisco
DepartmentPartner Programs
Team
Employment TypeFull-time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionCA
CitySan Francisco
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://www.mongodb.com/careers/job/?gh_jid=7774143
Apply URLhttps://www.mongodb.com/careers/job/?gh_jid=7774143
First Seen At2026-05-29 22:41:08Z
Last Seen At2026-06-06 07:33:49Z
Last Checked At2026-06-06 07:33:49Z
Last Changed At2026-06-06 07:33:49Z
Inactive At
Source Posted At2026-04-03 19:01:41Z
Source Updated At2026-06-04 18:30:04Z
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Extensions
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Native Structured
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