Sr. Manager, Engineering - Search
$222k - $300k • Remote • Mountain View, California
Posted 5d ago
Job Location
Mountain View, California
Tech Stack
Remote Work Policy
Fully remote
Categories
Machine Learning Engineer
About the job
Databricks is seeking a Senior Engineering Manager for Search to lead the development and scaling of their next-generation Search product. This role is critical in building and evolving a highly performant, cost-efficient, and developer-friendly Search stack that enables customers to build AI applications with accuracy, speed, and scale. The manager will drive innovation across Vector Search, Keyword Search, and Search Quality, and will be responsible for shaping the long-term vision, mentoring engineers, and collaborating across teams to expand the impact of Search at Databricks.
Responsibilities
- Lead a team of software engineers in designing, building, and operating cloud-native Search services.
- Drive innovation in Vector Search, Keyword Search, and Hybrid Search to improve relevance, latency, and cost efficiency.
- Partner with product and research teams to define the roadmap for Search Quality.
- Manage and operate large-scale, highly-available cloud services.
- Grow and mentor engineers and emerging leaders.
- Shape and execute the long-term product and engineering strategy for Search.
- Partner cross-functionally to ensure the Search platform enables AI and data applications.
- Foster a culture of technical excellence, accountability, and empathy.
Requirements
- 5+ years of experience in search, database systems, or AI/ML infrastructure.
- Proven track record of building and scaling highly-available cloud services.
- Strong leadership experience in building, growing, and managing engineering teams.
- Experience defining and meeting SLOs for distributed, production-grade systems.
- Solid understanding of search and indexing systems (e.g., Elasticsearch, Lucene, or vector databases).
- Familiarity with database internals or large-scale data processing systems.
- BS in Computer Science (Masters or PhD preferred).
Benefits
- Eligibility for annual performance bonus
- Equity
- Comprehensive benefits and perks