Sr. Manager, Engineering - Search
Databricks · Mountain View, California · Engineering · listed April 15, 2025
The shape of it
Seniority
Manager
Experience asked
5+ years
Where
Hybrid
Stated pay
$222,000 – $300,000 USD
Requirements listed
7
Length
775 words
In the posting’s own words
As a Senior Engineering Manager for Search, you’ll play a critical role in building and scaling our next-generation Search product — spanning Vector Search, Keyword Search, and Search Quality. You’ll drive the design and evolution of a highly-performant, cost-efficient, and developer-friendly Search stack that enables customers to build AI applications with accuracy, speed, and scale. Beyond hands-on contributions, you’ll help define the long-term vision, mentor senior engineers, collaborate across teams, and lead strategic efforts that expand the technical and business impact of Search at Databricks.
What it asks for · 7
- 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 — building, growing, and managing high-performing 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).
What the job covers
- Lead a team of talented software engineers to design, build, and operate the next-generation cloud-native Search services.
- Drive innovation across Vector Search, Keyword Search, and Hybrid Search capabilities to improve relevance, latency, and cost efficiency.
- Build a strong partnership with product and research teams to define the roadmap for Search Quality, including ranking models and evaluation frameworks.
- Manage and operate large-scale, highly-available services in the cloud.
- Grow and mentor engineers and emerging leaders through coaching, feedback, and development opportunities.
- Shape and execute the long-term product and engineering strategy for Search.
- Partner cross-functionally with teams across Databricks to ensure the Search platform serves as a core enabler for AI and data applications.
- Foster a culture of technical excellence, accountability, and empathy.
Degree language
- BS in Computer Science (Masters or PhD Preferred).
Tools and skills named
Data
- Databricks3×
- Elasticsearch
Models & research
- Machine learning
Product & design
- Roadmap
Ways of working
- Mentorship
Words the posting leans on
- search19×
- data6×
- systems5×
- building4×
- vector4×
- build3×
- customers3×
- database3×
- engineering3×
- engineers3×
- experience3×
- product3×
- services3×
- applications2×
- business2×
- capabilities2×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
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