The worldwide data management software market is massive (IDC forecasts it to be $136 billion by 2027!). At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading developer data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity.

We’re hiring a Director of Engineering to build a new team responsible for designing, building and maintaining an ML platform to power adoption of AI/ML across MongoDB.  The new role will work closely with stakeholders and partners from Product, Engineering, Data Science and our internal Data Platform team to design a solution that addresses both near and longer term platform and product requirements, including infrastructure to support data pipelines, data observability, and the full model lifecycle (training, orchestration, inference, validation). The platform will drive product features and how we run our global Atlas fleet.    

MongoDB’s Developer Data Platform encompasses many developer focused services such as MongoDB Atlas Database, Atlas Search, Atlas Data Federation, Atlas Application Services and many more. The fully integrated platform enables developers to deploy fault-tolerant, secure, globally distributed, fully integrated, services quickly and reliably. The new ML platform will power real-time, mission-critical applications of machine learning and large language models supporting MongoDB’s Developer Data Platform.

The team is a startup within the company.  This role is an opportunity to be a founding member of the team building MongoDB’s ML platform. 

This role can be based out of our New York City office or remotely in the North American region.

Responsibilities / What you’ll do...

• Lead a team responsible for designing, building, and maintaining MongoDB’s ML Platform, supporting real-time data pipelines, data observability, as well as training, orchestration, and productization of machine learning and large language models.
• Accelerate the productization of AI/ML innovations into production code via infrastructure that can perform at scale and is resilient.
• Work closely with data science, product management, product engineering, infrastructure engineering, as well as other teams within the company, to define the first iteration and future evolution of the ML platform.   
• Collaborate with internal Data Platform leadership to minimise duplication of effort.  
• Shape architecture, development practices, and escalation policies as the teams and  platform usage grow.
• Address platform requirements so that support engineers can quickly detect and correct issues in production.
• Develop and maintain tools and processes supporting automated platform testing and live upgrades of platform software.
• Stay in regular communication with data science, product and product engineering teams to understand how the platform can best assist in other teams’ objectives.
• Lead the process, in collaboration with MongoDB recruiting, to hire the right mix of skills and experience for the team, considering both internal and external candidates. 
• Participate in code review and contribute to technical standards.
• Mentor junior developers.

Qualifications / We’re looking for someone with…

• Experience building systems that support robust, large-scale data pipelines and machine learning model training and hosting, designed for scalability, repeatability, automation, and CI/CD/CT.
• Strong understanding of the development and operational patterns of data scientists.
• Proven success designing, building, testing, debugging, and performance tuning of distributed and/or highly concurrent software systems. 
• Ability to think through requirements and choose the right architecture and tooling to incrementally build systems while addressing the needs of the job at hand.
• Proficient with Python.
• Experience reviewing code from junior developers.
• Excellent verbal and written technical communication skills and desire to collaborate with colleagues, mentor fellow engineers and assume project ownership and accountability
• Team player who lives MongoDB’s values and thrives in a diverse and inclusive work culture.

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.