Senior Technical Evangelist, AI Startups & Ventures

MongoDBs mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, its no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.

Were seeking a Senior Technical Evangelistto lead engagement across MongoDBs AI Startup & Venture ecosystem, with a focus on our growing AI capabilities. As more developers and startups turn to MongoDB to power intelligent applications, youll play a critical role in helping them get started—meeting them where they are, from global conferences and community meetups to hackathons and startup accelerators. Youll be a trusted voice in the AI space, inspiring builders through live demos, technical talks, and hands-on support that accelerates their journey with MongoDB. This role is ideal for someone who thrives in real-world settings, excels at translating and presenting complex concepts, and is passionate about helping early-stage teams bring AI-powered ideas to life.

Youre self-directed, highly organized, and energized by real-world engagement—whether thats delivering keynotes, leading technical sessions, or mentoring early-stage teams. With 5+ years of experience as a data scientist, developer, or customer-facing engineer, youve built credibility by sharing and contributing code, publishing content, and speaking at events that move the AI conversation forward. Youre eager to deepen your expertise in MongoDBs AI features—like Voyage AI embedding models, vector search and aggregation pipelines—while advocating for best practices in document modeling and data architecture. In this high-visibility role, youll work closely with Marketing, Sales, Product, and Partnerships to shape thought leadership and drive adoption across MongoDBs startup ecosystem.

• Establish yourself as a trusted expert in ML/AI and database technologies, becoming a recognized authority both within MongoDB and across the wider developer and founder communities
• Actively represent MongoDB at conferences, founder meetups, hackathons, and other events by delivering engaging live demos, insightful technical talks, and interactive hands-on sessions focused on AI/ML
• Build, nurture, and grow an active, vibrant community by supporting early-stage startups and founders building with MongoDB by providing practical guidance and encouraging collaboration 
• Create and distribute a variety of high-quality technical content—such as code samples, blog posts, videos, and presentations—that clearly demonstrate MongoDBs AI/ML capabilities
• Collaborate closely with Marketing, Sales, and Partnerships teams to coordinate go-to-market strategies, develop authentic messaging and content together, and lead programs that increase MongoDB adoption and growth within the startup community

• 5+ years of hands-on experience in AI and machine learning with strong expertise in integrating these technologies with databases and a proven track record of engaging developer audiences through presentations, educational materials, and live events
• Demonstrated ability to build machine learning solutions, specializing in one or more machine or deep learning workflows that work seamlessly with database systemsSuccessful experience delivering technical presentations to a variety of audiences via conferences, hackathons, demo days, webinars, and other platforms - translating complex ideas into clear, engaging content
• Consistent creator of developer-focused resources such as tutorials and how-to guides that support learning and encourage adoption
• Willingness to attend community events and conferences as needed, with flexibility for occasional evening and weekend commitments

To drive the personal growth and business impact of our employees, were 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 its 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: 2263185697

MongoDBs 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 MongoDBs 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.

MongoDBs base salary range for this role in the U.S. is:

$104,000—$204,000 USD