Engineering Manager, Applied AI

P-426R168

The Applied AI team at Databricks sits at the forefront of advancing GenAI-powered products. Over the past years, we’ve launched Databricks Assistant and AI/BI Genie working with product teams, and made significant strides in using LLM for these products. These products are used by 100s of thousands of Databricks users every day. We are tackling challenging problems like code suggestion, error detection and correction, text-to-sql generation, automatic pipeline generation, knowledge QA and many others.

As our GenAI products continue to evolve, we are looking to hire an Engineering Manager to manage the backend platform which powers these products. This is a brand new stack powering areas like prompt engineering, evaluation harness, calls to multiple LLMs, logging, telemetry and experimentation in order to enable fast build out in this rapidly evolving space. This stack also seamlessly handles scale, cost, compliance and security. In 2025, we will focus on strengthening the platform architecture to make it scalable for mature features and at the same time be able to expand to new use cases.

In this role, you will work closely with leaders across the company, within engineering, as well as with product management, field engineering, recruiting and HR. You will be responsible for ensuring sustained hiring of the highest quality talent, organizational design and alignment with peer/partner teams within and outside engineering and robust processes for efficient execution against product strategy.

The impact you'll have:

• You will shape the direction of our GenAI/ML backend stack aka Assistant Platform that directly impacts the capabilities and performance of Databricks' products and services (e.g., Databricks Assistant and AI/BI Genie).
• You will oversee the recruitment and development of top-tier talent to build a cohesive and dynamic engineering team.
• You will foster leadership within the team through coaching, and providing growth opportunities.
• You will work closely with cross-functional teams, including AI researchers, ML engineers, and product teams, to deliver impactful AI solutions that enhance user productivity and satisfaction.
• You will help evolve the organizational structure to support long-term plans and establish frameworks.

What we look for:

• BS (or higher) in Computer Science, or a related field.
• 5 years of experience as an IC and 2 years of Engineering Management experience.
• Experience with large-scale distributed web services and the processes around testing, monitoring, and SLAs.
• Experience working with partner teams (e.g. Product or ML) that utilize the platform to develop innovative features.
• Ability to attract, hire, and mentor engineers of the highest caliber; experience in growing leaders and integrating top-tier talent.
• Ability to think long term but execute short term.

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

$192,000—$260,000 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.

**Benefits

**At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.

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.