Fullstack Engineering Manager, Applied ML

Key Skills

Cloud computing, Machine learning techniques, Python Programming, React.js, SQL, Vue.js

Job Description

The Applied ML group is focused on how to extend GitLab functionality to provide additional value by leveraging ML/AI. This group will build on existing successful GitLab categories and features to make them smarter, easier to use, and more intelligent. You can find more information about our most recent release, Suggested Reviewers, in GitLab 15.4.

The role:

The Fullstack Engineering Manager specializes in Engineering Management as a manager of people. Engineering Managers at GitLab see their team as their product. While they are technically credible and know the details of what engineers work on, their time is spent safeguarding their team's health, hiring a world-class team, and putting them in the best position to succeed. They own the delivery of product commitments and are always looking to improve productivity. They must also coordinate across departments to accomplish collaborative goals.

What you’ll do in this role:

• Manage and grow a team of backend, frontend, and machine learning engineers
• Collaborate with the Product Manager to help inform planning and author project plans for epics, and influence the overall direction of Applied ML
• Run agile project management processes. We work iteratively and release monthly.
• Provide guidance and coaching to team members on technical contributions, product architecture, and other areas.
• In addition to the Product Manager, work with the rest of the team (e.g. Engineers, Software Engineers in Test) to ensure the team direction is clear, and the team is delivering value aligned with business needs.
• Maintain empathy for the team by keeping awareness of engineering processes and practices. Examples may include:
• evaluating individual workflow during one on ones
• ensuring production readiness reviews are being conducted
• collaborating with internal stakeholders throughout the department, as the single point of contact for any internal Applied ML requests
• Actively seek and hire globally-distributed talent
• Contribute to the sense of psychological safety in your team
• Foster technical decision making on the team, but make final decisions when necessary
• Draft quarterly OKRs and Engineering KPIs

What you’ll need to apply:

• Exquisite brokering skills: regularly achieve consensus amongst departments
• Demonstrated experience as a People Manager for backend teams with a servant leadership mindset
• A track record of supporting engineering teams in building scalable and impactful ML solutions
• Excellent written and verbal communication skills
• You share our values, and work in accordance with those values

You’ll stand out if you bring:

• Experience with the GitLab product as a user or contributor
• Working knowledge of modern frontend frameworks such as React or Vue.js
• Product company or startup experience
• Computer Science education or equivalent experience
• Passionate about open source and developer tools

Also, we know it’s tough, but please try to avoid the confidence gap. You don’t have to match all the listed requirements exactly to be considered for this role.

Hiring process and compensation:

Our hiring process for the Applied ML team typically follows five stages including an initial call with our Technical Recruitment team. Candidates will have access to the compensation calculator after the initial screen conversation with a member of our recruiting team. Additional details about our process can be found on our hiring page.

Colorado/Washington pay range

$126,000—$229,500 USD

California/New York/New Jersey pay range

$126,000—$256,500 USD