Job description
MongoDB’s 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, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.
MongoDB is seeking a Senior Engineer, AI Developer Productivity to operationalize our AI-powered developer infrastructure. The last year has seen a revolution in AI tool capabilities, and we want our engineers to be at the forefront with these tools.
In this role, you’ll get a chance to define & implement the AI strategy for developer productivity for MongoDB. This includes building out from scratch AI agents and other AI-enhanced developer tooling; sorting out which AI tools in the marketplace are worth our while; and teaching us how to quantify the impact of new AI capabilities.
The Developer Productivity team is building solutions to keep MongoDB developers moving quickly, delivering high-quality features that our customers rely on. We’re looking for someone with a startup mindset who can make use of the resources of a larger company to make a big impact. This role requires comfort with breaking down complex problems and working at the forefront of generative AI technologies.
We are seeking candidates located in North America for in-office, remote, or hybrid work options.
What You’ll Do
Drive AI projects end-to-end, from ideation through adoption/growth.
- Including prompt engineering, fine-tuning, performance assessment
- Collaborating with key stakeholders throughout the company
Empower engineers to get more done with state-of-the-art AI tooling for the problems they encounter daily (e.g. debugging, documentation, coding, etc).
Be a thought leader in the company in the latest developments in the AI field, including following industry trends and the latest papers.
Strategize where in the development lifecycle we can inject AI to speed up engineers and reduce toil.
Build evaluation and monitoring frameworks for AI products in production
Contribute to the development of our agent framework and capabilities
Help establish best practices for AI development and deployment
What You Bring To The Table
- Degree in Computer Science, Engineering, related quantitative field or equivalent experience
- Demonstrated effectiveness in delivering new products in research or startup environments
- 5+ years of software engineering and/or product engineering experience
- Experience building Generative AI applications, specifically Agentic flows, RAG, or any state of the art methods in leveraging large language models
- Experience building evaluation frameworks for AI applications that leverage foundational models
- Strong fundamentals in Software Engineering
- Ability to drive 0-1 / MVP projects, rapid prototyping
What Makes You a Great Fit
- You thrive in environments with significant uncertainty and enjoy defining problems as much as solving them
- You’re passionate about generative AI technology and stay current with the latest developments
- You’re comfortable taking initiative on new concepts without detailed direction
- You’re excited about joining a growing team and helping shape its culture and direction
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: 1263125167
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:
$118,000—$231,000 USD
