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60 Databricks Senior Engineer Jobs Hiring in CA

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What is it like to work at Databricks?

Databricks is known for its collaborative and innovative culture, prioritizing teamwork, open communication, and continuous learning. The company's structure is designed to foster a sense of community, with cross-functional teams working together to drive product development and customer success, often in an open and modern office environment. Working at Databricks may appeal to candidates who are passionate about data and AI, as the company offers opportunities to work on cutting-edge projects, collaborate with industry experts, and contribute to the growth of a rapidly expanding field.

What are the most popular jobs at Databricks in California?

What are the most popular states for Databricks Senior Engineer Jobs?

Infographic showing various Senior Engineer job openings at Databricks in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 93% Physical, and 7% Remote job distribution.

Sr. Product Manager, Databricks AI

Databricks

San Francisco, CA • On-site

$149K - $196K/yr

Full-time

Re-posted 26 days ago

Job description

Job Summary:
Databricks is a leading company in data and AI, aiming to empower organizations to leverage the power of data and artificial intelligence. The Senior Product Manager will shape the future of enterprise AI by defining the vision, transforming AI advancements into practical products, and engaging with customers to uncover new use cases.
Responsibilities:
• Shape the future of enterprise AI: Define and drive the vision for how Databricks helps customers harness generative AI, agents, and new workloads that don’t exist yet
• Turn breakthroughs into products: Partner with world-class engineering and research teams to transform cutting-edge AI advancements into practical, trusted tools for millions of users.
• Expand what’s possible for customers: Engage directly with data and AI leaders to uncover new use cases — then design products that make the once-impossible accessible and repeatable.
• Be the voice of vision and execution: From concept to launch, you will inspire the roadmap, guide engineering, and tell the story of how Databricks AI is changing what customers can achieve.
• Build for scale and longevity: Define the strategy and principles that will guide Databricks AI for years, even as the industry evolves at unprecedented speed.
Qualifications:
Required:
• 5+ years of product management or equivalent experience, preferably with enterprise SaaS or developer platforms.
• Strong technical background in computer science, AI/ML, or related engineering fields (educational or professional).
• Proven ability to partner with senior engineers and research leaders, going deep on technical concepts while maintaining clarity on customer value.
• Track record of bringing products from vision to launch in fast-moving, competitive spaces.
• Strong analytical skills—comfortable working with SQL, product usage data, and operational dashboards.
• Excellent communication and storytelling skills to engage diverse stakeholders (customers, engineering, go-to-market).
Preferred:
• Bonus: exposure to building AI/ML or generative AI–powered products.
Company:
Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. Founded in 2013, the company is headquartered in San Francisco, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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