Sr. Engineering Manager - Agentic Service Platform
- Pay
- $228,600 – $314,250 per year
- Location
- Mountain View, CA · On-site
- Job type
- Full-time
- Level
- Director
- Experience
- 8+ years
- Listed
- 30 days ago
Skills & highlights for this role
- distributed systems
- service frameworks
- platform infrastructure
Also useful
- cloud platforms
- SaaS
Stated benefits & perks
- Health
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
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
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.
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.
Equal opportunity and legal notices
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.
From Databricks's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
Rolev.ai is a job search and application tool for US job seekers. For this Sr. Engineering Manager - Agentic Service Platform role at Databricks, it shows how your resume fits, tailors your resume to the posting, and prepares the application for you to review.
See how you fit
Openings from employer career sites are ranked against your whole resume—and searchable inside Claude, ChatGPT, and Cursor via Rolev.ai MCP.
Tailor without inventing
Every change to your resume is checked against your original. New experience goes in only with your yes—zero fabricated claims.
Draft the full kit
Tailored and Full Match resumes, role-specific cover letters, and answers to employer screening questions are prepared in seconds.
1-Click Extension Autofill
The Chrome extension fills the employer's Greenhouse, Workday, Lever, or Ashby form in 1 click. You review it and press Submit.
Similar roles
All Engineering Manager jobs- Engineering Manager - Promotional Artwork EngineeringNetflix · Los Gatos, CA · $436k – $710k/yr
- Engineering ManagerSunSource · Hartland, WI
- Engineering ManagerDeploy · San Francisco, CA
- New Product Development - Sr. Refrigeration Systems EngineerCarrier · East Syracuse, NY
- Engineering Manager, Sustaining & LifecycleTrane Technologies · Pueblo, CO
- Senior Principal SEIT LeadNgc · Baltimore, MD · $136k – $204k/yr
Common questions
What is the salary for the Sr. Engineering Manager - Agentic Service Platform role at Databricks?
The Sr. Engineering Manager - Agentic Service Platform posting at Databricks states compensation of $228,600 – $314,250 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Databricks's official career site.
Where is the Sr. Engineering Manager - Agentic Service Platform job at Databricks located?
This Sr. Engineering Manager - Agentic Service Platform position at Databricks is located in Mountain View, CA (On-site). Always check Databricks's application page for specific state eligibility or relocation policies.
What qualifications are required for Sr. Engineering Manager - Agentic Service Platform at Databricks?
For the Sr. Engineering Manager - Agentic Service Platform role, Databricks highlights 8+ years of relevant experience; experience with distributed systems, service frameworks, platform infrastructure. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Sr. Engineering Manager - Agentic Service Platform position at Databricks?
This listing links directly to Databricks's Greenhouse application page. You can apply directly on Databricks's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.