Sr. Engineering Manager - Agentic Service Platform

What We Look For

• 8+ years of engineering experience building and operating large-scale distributed systems, service frameworks, or platform infrastructure
• 4+ years of engineering management experience leading strong technical teams
• A track record of high technical judgment in building and operating large-scale distributed systems, and a deep understanding of customer interactions with platform products across multiple components
• Demonstrated success in attracting, hiring, and retaining top-tier talent and experience coaching and mentoring line managers or senior/staff level ICs
• Proven ability to handle complex performance management and promotion cases
• Existing experience building and running cloud platforms, or demonstrated ability to quickly learn new concepts in the SaaS space

The Role

You will lead and scale a multi-faceted team of talented engineers, which may include line managers and senior/staff ICs, building core agentic service platform infrastructure used by every service at Databricks.

You will own and set the multi-year technical strategy and organizational roadmap for a critical, cross-cutting domain within the agentic service platform.

You will drive and ensure the predictable, high-quality delivery of complex, multi-quarter/multi-year strategic initiatives, often spanning multiple teams and product areas.

You will champion the career development and growth of engineers and managers, including coaching senior (L5/L6) ICs and guiding line managers.

You will proactively align and influence product and engineering leadership across multiple partner organizations to ensure the long-term success of the platform.

About the Role

The team's goal is to make every service at Databricks fast, reliable, observable, and secure by default, without each team having to solve these problems independently.

The team owns the core agentic service platform: multi-language service and RPC frameworks, core libraries, request context propagation, overload protection, and abstractions that extend full platform capabilities to any language.

The team’s work is high-leverage - a single improvement we ship benefits thousands of production services and thousands of engineers across the company.

Pay

The pay range(s) for this role is listed below and represents the expected 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 anticipates utilizing 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.

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.

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 click here.

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.

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.