Databricks

Databricks

Posted via Greenhouse

Sr. Engineering Manager - Agentic Service Platform

Posted Aug 5, 2026

Role at a glance

Salary
$228.6K – $314.3K/yr
Location
Mountain View, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
8+ years of engineering experience building and operating large-scale distributed systems, service frameworks, or platform...

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Role Summary

AI-generated

The Sr. Engineering Manager will lead the Agentic Service Platform team at Databricks, which builds foundational service frameworks and runtime infrastructure for the company's microservices. The platform provides capabilities such as multi-language service and RPC frameworks, request context propagation, overload protection, observability, reliability, and security across Databricks services.

What You'll Do

  • Lead and scale a multi-faceted engineering team building core agentic service platform infrastructure used by every service at Databricks.
  • Set the multi-year technical strategy and organizational roadmap for a critical domain within the agentic service platform.
  • Drive predictable, high-quality delivery of complex, multi-quarter and multi-year initiatives spanning multiple teams and product areas.
  • Champion the career development and growth of engineers and managers, including coaching senior ICs and guiding line managers.
  • Align and influence product and engineering leadership across multiple partner organizations to support the long-term success of the...

Generated from the employer's posting. Verify important details before applying.

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Qualifications

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; high technical judgment in large-scale distributed systems; experience attracting, hiring, retaining, coaching, and mentoring engineering talent; experience handling complex performance management and promotion cases.

Required

  • 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
  • Experience building and operating large-scale distributed systems
  • Experience attracting, hiring, and retaining top-tier talent
  • Experience coaching and mentoring line managers or senior/staff level ICs
  • Experience handling complex performance management and promotion cases

Original job description

Content provided by the employer

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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. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As a Sr. Engineering Manager on the Agentic Service Platform team, you will be responsible for building the foundational service frameworks and runtime infrastructure that power every microservice at Databricks. 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.

The impact you will have:

  • 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.
  • Own and set the multi-year technical strategy and organizational roadmap for a critical, cross-cutting domain within the agentic service platform.
  • Drive and ensure the predictable, high-quality delivery of complex, multi-quarter/multi-year strategic initiatives, often spanning multiple teams and product areas.
  • Champion the career development and growth of engineers and managers, including coaching senior (L5/L6) ICs and guiding line managers.
  • Proactively align and influence product and engineering leadership across multiple partner organizations to ensure the long-term success of the 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.

 

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. 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. For more information regarding which range your location is in visit our page here.

 

Zone 1 Pay Range
$228,600$314,250 USD

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

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. 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.

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Databricks

About the company

Databricks

Large Enterprise

Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.