Engineering Lead, MongoDB
Generative AI
$137-270k
Developer data platform
Be an early applicant
Developer data platform
1001+ employees
Be an early applicant
$137-270k
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
- Demonstrated experience in leading and managing cross-functional teams, fostering collaboration, and driving results
- 5+ years experience developing full stack applications with fluency in React based front end development
- Excellent problem-solving skills, with the ability to analyze complex issues, and propose effective solutions
- An innate agile mindset, able to break down large problems into manageable chunks such as to demonstrate and deliver iterative value
- A passion for Generative AI, eager to learn about the latest innovations, and apply them to real-world business problems
- Nice to have - Strong understanding of generative AI technologies, understanding prompt engineering, building domain-specific models leveraging (ideally) vector search, and/or experience with LLMs
What the job involves
- The Generative AI team is part of the Internal Engineering team responsible for delivering custom software solutions that are used by the rest of the organization
- As the leader of this team you will play a pivotal role in shaping the development and implementation of our generative AI initiatives
- You will be responsible for delivering innovative solutions that provide business value to various departments within the company
- This is a hybrid management position that will require recruiting for and developing junior engineers, leading a cross-functional team, as well as rolling up your sleeves and writing code
- MongoDB Engineering Leads are expected to be both people managers and active developers
- You will have an opportunity to play a leading role in defining and contributing to how MongoDB builds and leverages the latest in AI technologies such as Generative AI and Machine Learning models
- Play a pivotal role in defining how MongoDB leverages some of the latest and most rapidly evolving technologies, frameworks, and tools
- Lead a cross-functional team of individual contributors to deliver maximum value to the organization via solutions built with Generative AI technologies
- Directly manage a subset of the team, responsible for ensuring their success, aiding their career growth, and facilitating their technical work
- Collaborate with cross-functional partners to foster alignment and remove roadblocks for the team. Identify, design, implement, test, and support new features related to generative ai solutions
- Success Measures:
- In three months you will have familiarized yourself with much of our Generative AI stack, forged productive relationships within the team, and developed an initial understanding of our strategic objectives and how to execute on them in this space
- In six months, you will have coalesced the cross-functional team into a single effective unit and delivered at least one product to the organization
- In a year you will have too many pleased customers to do everything they ask of you, and you will be asking to grow your team; You will have delivered several solutions that leverage AI and/or Machine learning in order to measurably increase the productivity of the organization
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
Insights
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 values
- Think Big, Go Far
- Build Together
- Embrace the Power of Differences
- Be Intellectually Honest
- Own What You Do
- Make it Matter
Company HQ
Theater District, New York, NY
Articles
Leadership
Dwight Merriman
(Co-Founder)Previously CTO and Co-founder at DoubleClick for 10 years, and Chairman at AlleyCorp for 15 years.
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