Engineering Manager, AI Powered: Custom Models

GitLab is an open core software company that develops the most comprehensive AI-powered DevSecOps Platform, used by more than 100,000 organizations. Our mission is to enable everyone to contribute to and co-create the software that powers our world. When everyone can contribute, consumers become contributors, significantly accelerating the rate of human progress. This mission is integral to our culture, influencing how we hire, build products, and lead our industry. We make this possible at GitLab by running our operations on our product and staying aligned with our values. Learn more about Life at GitLab.

Thanks to products like Duo Enterprise, and Duo Workflow, customers get the benefit of AI at every stage of the SDLC. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier. All team members are encouraged and expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact across our global organisation.

An overview of this role

The Custom Models team is responsible for providing customers with the ability to use their self-hosted and even fine-tuned models for use within the GitLab product and beyond. They will work collaboratively with numerous teams in the AI space to ensure a full lifecycle of evaluating models, fine-tuning models, storage models, deploying models, implementing models as underlying engines behind AI agents, and protecting these models through means of various hosting techniques.

In this role, you will lead the Custom Models team, which is currently made up of 5 Engineers, to build innovative AI solutions tailored to our customers' needs. You will define processes and best practices as you grow a high-performing team from the ground up. Success in this position requires strong technical skills, managerial experience, and a passion for advancing AI technology.

What you’ll do

• Manage a team of engineers across multiple disciplines
• Collaborate cross-functionally to gather requirements and deliver customer-focused AI products
• Assist in the architecting of solutions that enable customization of GitLab's AI models
• Monitor progress, unblock obstacles, and ensure on-time delivery for the team
• Coach and mentor team members to support their professional growth
• Promote a culture of innovation, inclusion, and delivery

What you’ll bring

• 5+ years managing high-performing engineering teams
• Expertise in machine learning and experience with techniques like running models, transfer learning, open source models and model fine-tuning
• Data-driven approach to improving team productivity and effectiveness
• Strong communication, collaboration, and stakeholder management abilities
• Passion for advancing AI technology and building a world-class team

About the team

The AI-powered:Custom Models team focuses on GitLab’s suite of Custom Model features and is responsible for all backend aspects of the product categories that fall under the Custom Models group of the AI Powered stage of the DevOps lifecycle.

The team works closely with these other teams within the organization:

• AI Framework
• MLOps
• Model Validation
• Duo Chat

How GitLab will support you

• Benefits to support your health, finances, and well-being
• All remote, asynchronous work environment
• Flexible Paid Time Off
• Team Member Resource Groups
• Equity Compensation & Employee Stock Purchase Plan
• Growth and development budget
• Parental leave
• Home office support

Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people fromunderrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.

Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.

Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us.

GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.

Originally posted on Himalayas