Sr. Manager, Engineering - Model Serving
Databricks - San Francisco, California
Posted Oct 15, 2025
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified not verified - source URL not recorded; timestamp not recorded
- Family-building benefits
-
- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- $217K-$312K From the posting source checked Jun 20, 2026
- 401(k) match
- Not verified
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
127% above the BLS role benchmark for software engineering aggregate.
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
- Equity
- Offered From the posting source checked Jun 20, 2026
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Sr. Manager, Engineering - Model Serving San Francisco, California RDQ127R51 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. Databricks' Model Serving product provides enterprises with a unified, scalable, and governed platform to deploy and manage AI/ML models - from traditional ML to fine-tuned and proprietary large language models. It offers real-time, low-latency inference, governance, monitoring, and lineage. As AI adoption accelerates, Model Serving is a core pillar of the Databricks platform, enabling customers to operationalize models at scale with strong SLAs and cost efficiency. As a Senior Engineering Manager, you will lead the team owning both the product experience and the foundational infrastructure of Model Serving - shaping customer-facing capabilities while designing for scalability, extensibility, and performance across both CPU and GPU inference - and collaborate closely across the platform, product, infrastructure, and research organizations. The impact you will have: - Lead, mentor, and grow a high-performing engineering team responsible for both the customer-facing Model Serving product and its foundational infrastructure - covering runtime, APIs, scaling, reliability, and integrations. - Define and own the product and technical roadmap for Model Serving, balancing customer experience, functionality, and foundational investments across deployment, inference, monitoring, and scaling. - Collaborate closely with product,
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