# Sr. Manager, Engineering - Search

**Company**: Databricks
**Location**: Mountain View, California
**Experience**: senior
**Job type**: full-time
**Salary**: $222,000-$300,000 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/7959180002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_72279817-d7d

## Description

At Databricks, we enable data teams to solve complex problems by building and running the world's best data and AI infrastructure platform.

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.

Responsibilities:

- 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.

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 , 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).

Pay Range Transparency: The pay range for this role is $222,000-$300,000 USD.

Benefits: Comprehensive benefits and perks that meet the needs of all employees.

## Skills

### Required
- search
- database systems
- AI/ML infrastructure
- cloud services
- leadership
- Elasticsearch
- Lucene
- vector databases

### Nice to have
- Masters or PhD in Computer Science

---

Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/7959180002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)