Sr. Engineering Manager - Agentic Service Platform
- Salary
- $228,600 - $314,250
- Level
- Lead
Not stated in the posting: work type, visa.
Open. First seen 3 October 2026.
About the role
RDQ427R330
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
Databricks's standard text
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.
What this role asks for
In most of Databricks's ads
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Named in most of its open postings, whatever the role.
75% of this description is written for the role. The rest is Databricks's standard text, folded away below.
Read against Databricks's other open postings on this site.
The team: Engineering HIRES STEADILY
This role is one of 44 open in Engineering. 1 was posted in the last 30 days and the oldest in June: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Databricks (44 of 44), Unity (44 of 44), Azure (20 of 44), AWS (16 of 44), GCP (15 of 44), Machine Learning (13 of 44), LLM (12 of 44)
OTHER ROLES ON THIS TEAM
- Sr. Manager, Engineering - AI/BI posted Oct 2
- Senior Software Engineer, Compute Infrastructure posted Sep 14
- Staff Software Engineer – Genie One Mobile & Desktop posted Sep 9
- Engineering Manager, App Traffic posted Sep 9
- Senior Engineering Manager for Self-Serve (Learning) posted Aug 21
- Engineering Manager, CustomerLake Profile Agents posted Aug 13
- Staff Software Engineer- Foundation Model Inference posted Jul 24
- Sr Software Engineer- CXI posted Jul 15
- Senior Software Engineer, AI Native Web Platform posted Jul 15
- Staff Software Engineer, AI Native Web Platform posted Jul 15
- Staff Software Engineer, Agentic Applications posted Jul 15
- Staff Machine Learning Engineer, CustomerLake (ML/LLM) posted Jun 30
- Engineering Manager, Serverless Compute Platform posted Jun 22
- Staff Software Engineer, AI Runtime posted Jun 8
- Senior Software Engineer, AI Runtime posted Jun 8
- Staff Software Engineer, AI Search posted Jun 4
- Sr. Staff Software Engineer — Observability, Insights & Governance posted Jun 2
- Sr. Staff Software Engineer — Observability, Insights & Governance posted Jun 2
- Sr. Manager, Engineering Configuration Platform Team posted May 28
- Senior Staff Applied AI Engineer - Context Retrieval posted May 7
- Sr Staff Production Engineer- Public Sector posted Apr 22
- Staff Production Engineer- Public Sector posted Apr 22
- Staff Software Engineer- Public Sector posted Apr 21
- Staff Backend Software Engineer- (Databricks AI) posted Mar 31
- Engineering Manager - Databricks SQL Control Plane posted Mar 20
- Staff Backend Software Engineer posted Mar 18
- Sr. Engineering Manager - Customer Experience Intelligence (CXI) posted Feb 25
- Staff Software Engineer - Backend posted Jan 29
- Sr. Software Engineer- Backend posted Jan 16
- Sr. Staff Software Engineer - Money Team posted Nov 12
- Senior Software Engineer, Model Serving posted Oct 14
- Sr Software Engineer-Networking posted Oct 14
- Sr Software Engineer-Networking posted Oct 14
- Sr. Engineering Manager - Notebook Dataplane posted Sep 29
- Manager, Engineering - AI/BI posted Sep 19
- Senior Engineering Manager for Workspace Platform posted Jun 12
- Sr. Manager, Engineering - Search posted Apr 15
- Senior Software Engineer - Partner Ecosystem posted Apr 3
- Senior Staff Software Engineer - App and Partner Ecosystem posted Mar 19
- Sr Designated Support Engineer posted Jan 30
- Senior Manager, Infrastructure Data Science posted Nov 18
- Senior Manager, Infrastructure Data Science posted Nov 18
- Senior Software Engineer - Backend posted Jun 1
From the team and dates on Databricks's own job board.
See Engineering Manager salaries in the United States →
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