Senior Technical Evangelist, MongoDB
AI Startups & Ventures
$104-204k
Developer data platform
Be an early applicant
Developer data platform
1001+ employees
Be an early applicant
$104-204k
1001+ employees
Company mission
To empower innovators to create, transform, and disrupt industries by unleashing the power of software and data.
Role
Who you are
- 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 systems
- Successful 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
What the job involves
- We’re seeking a Senior Technical Evangelist To lead engagement across MongoDB’s AI Startup & Venture ecosystem, with a focus on our growing AI capabilities
- As more developers and startups turn to MongoDB to power intelligent applications, you’ll 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
- You’ll 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
- You're self-directed, highly organized, and energized by real-world engagement—whether that's delivering keynotes, leading technical sessions, or mentoring early-stage teams
- With 5+ years of experience as a data scientist, developer, or customer-facing engineer, you’ve built credibility by sharing and contributing code, publishing content, and speaking at events that move the AI conversation forward
- You’re eager to deepen your expertise in MongoDB’s 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, you’ll work closely with Marketing, Sales, Product, and Partnerships to shape thought leadership and drive adoption across MongoDB’s 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 MongoDB’s 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
Our take
MongoDB is an open-source, cross-platform, document-oriented database system. It stores data as JSON-like documents and is written in C++, Go, JavaScript and Python.
Essentially, the company develops tools and blueprints to help businesses and organisations modernise their legacy applications, migrating them to the MongoDB database and the MongoDB Atlas cloud database. With this initiative, MongoDB is particularly taking aim at Oracle customers with ageing applications running on the Oracle relational database system.
Since its release, MongoDB has become one of the most popularly used NoSQL database systems due to its ease of use and efficiency. It is also the fastest-growing database ecosystem, and boasts hundreds of millions of downloads. Recently, the company announced a partnership with Patronus AI, an automated evaluation and security platform, through which it will bring automated LLM evaluation and testing capabilities to enterprise customers.
Freddie
Company Specialist at Welcome to the Jungle
Insights
13% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Jan 2015
$80m
SERIES G
Oct 2013
$150m
SERIES F
Total funding: $311.1m
Company benefits
- Rich health insurance coverage
- Virtual & on-site fitness classes
- Health screenings & telemedicine
- Access to transgender-inclusive health insurance coverage
- Global and internal mobility opportunities
- Equity & Employee Stock Purchase Program
- Pension & retirement programs
- Income Protection
- Flexible PTO is offered to every US employee & competitive time off policies for non-US employees
- Employee Assistance Program
- Mental health counseling
- Free meditation app access
- Fertility & adoption financial assistance
- Parental counseling for new parents
- 20 weeks of fully paid gender neutral parental leave & flexible work arrangements
- 4 weeks of emergency care leave
Company HQ
Theater District, New York, NY
Leadership
Dwight Merriman
(Co-Founder)Previously CTO and Co-founder at DoubleClick for 10 years, and Chairman at AlleyCorp for 15 years.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 171 more jobs at MongoDB