Sr. Engineering Manager - Applied AI

P-932

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.

We see the Databricks Data Intelligence Platform as the future of data-driven decision-making. Our Applied AI team is at the heart of the engine that powers this future. We’re making the Databricks product smarter, faster, better, and generally more magical. We use Generative AI (both internal and external LLMs) and predictive AI to make Databricks Assistant, Search, coding experience, automatic documentation, and other user-facing features the best they can be. We are passionate about the quality of these AI-powered features, and improve on them via LLM fine-tuning, improving Retrieval Augmented generation (RAG), and the broader gamut of machine learning algorithms and evaluation strategies. On the Applied AI team, we are basically working on the future of data intelligence, and looking for a manager to support these initiatives. We have built a team, so this would be a great opportunity for learning and growth.

You will report directly to the Senior Director of Engineering.

The Main Responsibilities Include

• You will lead a team of accomplished AI engineers to help build intelligent features for Databricks such as the Assistant, Search, coded completion, automatic documentation, and others.
• You will continue the growth of the team by attracting and hiring top talent.
• You will lead technical discussions and driving decisions related to applied AI, particularly around LLM and predictive ML algorithms and infrastructure.
• You will manage and operate multiple highly-available AI features in the cloud.
• You will grow leaders on the team by providing coaching, mentorship, and growth opportunities.
• You will play a key role in defining the product and engineering roadmap for the team.
• You will partner with other engineering and product leaders on planning, prioritization and staffing.
• You will create a culture of excellence on the team while leading with empathy.

What We Look For

• 5+ years experience building applied AI/ML systems such as search, recommendations, and conversational agents.
• Experience improving the quality of such AI/ML systems iteratively via sound statistical methods.
• Experience with building and managing teams.
• Knowledge of AI systems on the cloud.
• BS in Computer Science or related field (Masters or higher).

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range: $222,000—$300,000 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.