ABOUT THE TEAM AND POSITION…

The NGCP team is a passionate and collaborative group of experts in Product, Design, Data Science, and Engineering who are redefining customer experience at Carvana. At the heart of our work is a cutting-edge communication platform that empowers car buyers and sellers to enjoy an effortless car shopping experience every day. We build our systems from the ground up with a relentless focus on the end-consumer, and we’re looking for someone who shares our vision to join our team.
As the Team Lead of the NGC Machine Learning Team, you will not only shape the future of our LLM-based omnichannel bot system – Sebastian – but also take an active, hands-on role in coding, architectural decision-making, and mentoring. We are seeking a leader with a strong full stack background who has managed engineering teams, and who thrives on rolling up their sleeves alongside their team. You’ll also contribute to our overarching data and AI strategy, enhancing a suite of ML-driven services that support our customers and advocates. Collaborating closely with our Product, Data Science, and Software Engineering teams, you’ll help transform every stage of the purchase process—from search right through to vehicle delivery.
As an engineering leader, you will support engineers building out this platform while we continue to add more capabilities and features. Our services are built on different technology frameworks, including Python, .NET Core, Scala, and React.

LEGAL STUFF…

Hiring is contingent on passing a complete background check. This role is not eligible for visa sponsorship.
Carvana is an equal employment opportunity employer. All applicants receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, marital status, national origin, age, mental or physical disability, protected veteran status, or genetic information, or any other basis protected by applicable law. Carvana also prohibits harassment of applicants or employees based on any of these protected categories.
Please note this job description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice

As a Team Lead in Engineering, you’ll work hand in hand with Product Managers and fellow engineers to define the vision, direction, and objectives for your team’s projects—with a special emphasis on leveraging AI tools to solve challenges across the board. In this role, you’ll be expected to:

• Engage in every phase of the software development life cycle—from understanding requirements and crafting solution designs to planning, developing, testing, and deploying—all while integrating cutting-edge AI technologies that streamline processes and bolster innovation.
• Serve as a “player-coach” by actively engaging in code reviews, debugging, and contributing code on both the client and server sides.
• Swiftly adapt and respond to rapidly changing business needs by harnessing analytics and decision-making tools, ensuring your team remains agile and ahead of the curve.
• Discover new opportunities to scale our business, enhance our culture, and improve the quality of our tools, code, and processes.
• Contribute directly to the development of groundbreaking applications, where integrating AI solutions will be key to solving complex problems and achieving business milestones.
• Recognize that your team’s talent is your greatest asset, and invest in their growth by introducing AI-enhanced training and development tools that support personal and professional success.
• Consistently seek opportunities to guide, nurture, and empower your team members, ensuring they achieve their personal objectives while delivering sustainable and significant value to the business.

This role is perfect for someone ready to push the boundaries of traditional engineering, who is inspired by what solutions are now possible by blending traditional and modern ML & AI technologies.