senior marketing Campaign Manager hybrid
$222,000 – $300,000
USD per year

About this role

Databricks is hiring a senior-level Campaign Manager in the marketing function based in Mountain View, CA. The posting calls out experience with Elasticsearch, Spark, Databricks, MLflow. Compensation is listed at $222,000–$300,000 per year.

Role
Campaign Manager
Function
marketing
Level
senior
Track
hybrid
Employment
Full-time
Location
Mountain View, CA
Department
Engineering

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Job description

from Databricks careers

RDQ426R193

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.

Search plays a foundational role in this mission. Whether through keyword-based retrieval, semantic similarity via vector embeddings, or hybrid approaches that combine both, our Search technologies help customers find, discover, and understand information across massive, complex datasets. These capabilities power everything from Retrieval Augmented Generation (RAG), AI assistants, and recommendation systems to enterprise knowledge management, in-product search, and data exploration.

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.

This is an excerpt. Read the full job description on Databricks careers →
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