Sr. Product Manager, Databricks AI

Databricks
San Francisco
Workplace: OnsiteFull timeFunction: Product ManagementExperience: 5+ yearsSkills: ["Communication","Storytelling","Analytical thinking","Collaboration","Problem-solving"]

Lead the vision and execution for enterprise AI products at Databricks, partnering with engineering and research teams to turn AI breakthroughs into practical tools. Define strategy for generative AI, agents, and new workloads, engage with data/AI leaders to identify use cases, and guide product development from concept through launch for scale and longevity.

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FursaFursa
Databricks
Databricks
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Sr. Product Manager, Databricks AI

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Last checked: 3 hours agoStatus: Live

Job Summary

Lead the vision and execution for enterprise AI products at Databricks, partnering with engineering and research teams to turn AI breakthroughs into practical tools. Define strategy for generative AI, agents, and new workloads, engage with data/AI leaders to identify use cases, and guide product development from concept through launch for scale and longevity.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Product Management
Seniority: Sr. Manager level

Key Responsibilities

  • •Shape the product vision and strategy for Databricks AI, defining how customers harness generative AI, agents, and new workloads
  • •Partner with engineering and research teams to translate AI breakthroughs into validated, usable tools for millions of users
  • •Engage with data and AI leaders to identify and design new use cases that make complex AI capabilities accessible and repeatable
  • •Inspire roadmap and guide engineering from concept to launch, communicating value to customers, engineering, and GTM teams
  • •Define scalable principles and strategy to ensure Databricks AI remains relevant as the industry evolves

Key Requirements

  • •5+ years of product management or equivalent experience in enterprise SaaS or developer platforms
  • •Strong technical background in computer science, AI/ML, or related engineering fields
  • •Proven ability to partner with senior engineers and research leaders, tackling technical concepts while maintaining customer value
  • •Track record of bringing products from vision to launch in fast-moving, competitive spaces
  • •Strong analytical skills, comfortable with SQL, product usage data, and operational dashboards
Experience:5+ yearsEnterprise SaaSAIDeveloper platforms
Skills:CommunicationStorytellingAnalytical thinkingCollaborationProblem-solving
Languages:English
Tech Stack:SQLAIMachine LearningGenerative AI

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn