Sr. Manager, Engineering Model Serving
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Job Location:
San Francisco, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
RDQ127R51
At Databricks we are passionate about enabling data teams to solve the worlds 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 worlds 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 research platform and infrastructure teams to drive end-to-end delivery from ideation and prioritization to launch and operation.
- Ensure Model Serving meets stringent SLAs SLOs and performance and reliability goals continuously improving operational efficiency and customer experience.
- Drive architectural decisions and product design around latency throughput autoscaling GPU/CPU placement and cost optimization.
- Advocate for customer needs through direct engagement ensuring engineering decisions translate to clear product impact.
- Promote best practices in code quality testing observability and operational readiness.
- Foster a culture of excellence inclusion and continuous improvement across the team.
- Partner with recruiting to attract hire and develop top-tier engineering talent.
What we look for:
- 5 years of experience in technical leadership or management.
- Proven track record building and operating large-scale distributed systems preferably real-time or low-latency APIs.
- Deep understanding of real-time serving systems.
- Experience driving architectural design and operational excellence for production systems with measurable SLAs and SLOs.
- Familiarity with CPU/GPU performance optimization concurrency caching and scalability concepts.
- Excellent collaboration and communication skills across engineering product and research organizations.
- Ability to lead teams through ambiguity and deliver complex cross-functional projects.
- BS in Computer Science (Masters or PhD Preferred).
Required Experience:
Manager
Key Skills
- Python
- C/C++
- Fortran
- R
- Data Mining
- Matlab
- Data Modeling
- Laboratory Techniques
- MongoDB
- SAS
- Systems Analysis
- Dancing
About Company
The Databricks Platform is the world’s first data intelligence platform powered by generative AI. Infuse AI into every facet of your business.
