Senior Engineering Manager - AI Agent Evaluation

P-932

Senior Engineering Manager - AI Agent Evaluation

Join Databricks: Pioneering the Future of Data and AI

At Databricks, we are driven by a passion to empower data teams in tackling the world's most challenging problems—from revolutionizing transportation to accelerating medical innovations. Our mission is to build and operate the premier data and AI infrastructure platform, enabling our customers to leverage deep data insights for transformative business improvements. If you are passionate about advancing data and AI technologies and are eager to lead a cutting-edge product to success, we invite you to join our dynamic team at Databricks.

About The Role

Enterprise customers prioritize the quality of Retrieval-Augmented Generation (RAG) and Large Language Model (LLM) applications. However, without a robust platform to evaluate this quality, making informed, data-driven decisions to enhance these systems over time becomes nearly impossible. The AI Agent Evaluation team is dedicated to addressing this critical need. By leveraging LLMs and specialized models, we assess the quality of RAG and LLM application responses across multiple dimensions, including correctness, relevance, and toxicity.

We empower our customers to build, optimize, and monitor their LLM and RAG applications at scale, efficiently and effectively. This year, we proudly announced the Public Preview of our AI Agent Evaluation suite at the Data and AI Summit. Now, we seek an exceptional engineering leader to elevate this product to General Availability, shape its strategic direction, and propel it to new heights.

Key Responsibilities

1. Lead the product strategy and development for the AI Agent Evaluation.
2. Drive the platform from Public Preview to General Availability.
3. Innovate and optimize to ensure the highest quality and performance.
4. Collaborate with cross-functional teams to deliver scalable solutions.
5. Engage with customers to understand their needs and enhance their experience.

What We Look For

1. 5+ years of AI Infra experience
2. Experience building highly-available cloud services
3. Building, growing, and managing high performance teams
4. Experience in defining and meeting SLOs for highly-available systems
5. Ability to attract and hire engineers who meet the Databricks hiring standards
6. Knowledge of database internals (highly Preferred)
7. BS in Computer Science (Masters or PhD Preferred)

Benefits

1. Medical, Dental, and Vision
2. 401(k) Plan
3. FSA, HSA and Commuter Benefit Plans
4. Equity Awards
5. Flexible Time Off
6. Paid Parental Leave
7. Family Planning
8. Fitness Reimbursement
9. Annual Career Development Fund
10. Home Office/Work Headphones Reimbursement
11. Employee Assistance Program (EAP)
12. Business Travel Accident Insurance
13. Mental Wellness Resources

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.