Engineering Manager • Senior

Who you are

You have over 5 years of experience in engineering management, particularly in AI and machine learning environments — you've successfully led teams that build scalable systems and have a track record of mentoring engineers to achieve their best work. Your technical background includes deep knowledge of Python and Java, allowing you to engage with your team on a technical level while guiding them through complex challenges.

You understand the intricacies of deploying AI/ML models at scale — your experience with Kubernetes and Docker has equipped you with the skills to manage containerized applications effectively, ensuring high availability and performance. You are adept at defining product roadmaps and aligning technical strategies with business goals, ensuring that your team's work directly contributes to the company's success.

Your leadership style emphasizes collaboration and empowerment — you believe in fostering an inclusive environment where team members feel valued and motivated to innovate. You have experience working cross-functionally with product, infrastructure, and research teams, ensuring that all aspects of the product lifecycle are considered in your decision-making.

You are passionate about AI and its potential to transform industries — you stay updated on the latest trends and technologies in the field, and you are eager to implement best practices that enhance model serving capabilities. Your analytical mindset allows you to assess performance metrics and make data-driven decisions that improve product outcomes.

Desirable

Experience with real-time inference systems and low-latency applications is a plus — you understand the importance of delivering timely insights to customers and have strategies in place to optimize performance. Familiarity with governance and monitoring tools for AI/ML models will help you ensure compliance and reliability in your team's outputs.

What you'll do

As a Senior Engineering Manager at Databricks, you will lead a high-performing team responsible for the Model Serving product — your role will involve defining the technical roadmap and overseeing the development of customer-facing capabilities. You will collaborate closely with various teams to ensure that the infrastructure supports both CPU and GPU inference, balancing scalability and performance.

You will mentor and grow your team, providing guidance on best practices in software development and model deployment — your leadership will help cultivate a culture of continuous improvement and innovation. You will be responsible for setting clear objectives and key results (OKRs) for your team, ensuring alignment with the broader company goals.

Your role will also involve engaging with stakeholders to gather feedback and iterate on product features — you will work to understand customer needs and translate them into actionable development tasks. You will oversee the integration of new technologies and frameworks that enhance the Model Serving platform, ensuring that it remains competitive in the rapidly evolving AI landscape.

You will be expected to monitor the performance of the Model Serving product, analyzing data to identify areas for improvement — your insights will drive enhancements that improve user experience and operational efficiency. You will also be involved in strategic planning sessions, contributing your technical expertise to shape the future direction of the product.

What we offer

At Databricks, we offer a collaborative and inclusive work environment where innovation thrives — you will have the opportunity to work with cutting-edge technologies and contribute to projects that have a significant impact on the industry. We provide competitive compensation and benefits, including opportunities for professional development and career advancement.

Join us in our mission to empower data teams and drive meaningful change through AI and machine learning — your contributions will help shape the future of how organizations leverage data to solve complex problems.