Staff Product Manager - Technical

Databricks
Amsterdam, Colorado
Workplace: RemoteFull timeFunction: Product ManagementExperience: 5+ yearsSkills: ["Communication","Collaboration","Problem-solving"]

Technical Product Manager partnering with product, engineering, and technical field teams to shape and ship features for a data platform. Focus areas include OLTP Databases or Data Governance, balancing functional and non-functional requirements, and bridging customer insights to product decisions and field communications.

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FursaFursa
Databricks
Databricks
6 months ago

Staff Product Manager - Technical

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Technical Product Manager partnering with product, engineering, and technical field teams to shape and ship features for a data platform. Focus areas include OLTP Databases or Data Governance, balancing functional and non-functional requirements, and bridging customer insights to product decisions and field communications.
Location: Amsterdam, Colorado
Workplace: Remote
Employment Type: Full time
Job Function: Product Management

Key Responsibilities

  • •Identify and drive impactful product improvements in your domain of expertise.
  • •Define and run performance benchmarks (OLTP focus) or governance best practices and reference architectures (governance focus).
  • •Shape and prioritize a meaningful product roadmap.
  • •Support go-to-market efforts and guide product adoption.
  • •For governance focus: define processes and mechanisms for how AI agents securely and compliantly access the Databricks Data Intelligence Platform.

Key Requirements

  • •5+ years of experience with a strong, hands-on technical background.
  • •Strong Python and SQL skills.
  • •Deep domain expertise in one of: (a) Transactional databases (OLTP), cloud-native databases, or distributed systems OR (b) Data governance, data catalogs, lineage, and access management.
  • •Experience evaluating and comparing technologies across dimensions such as performance, reliability, governance, and compliance.
  • •Proven ability to work effectively across product, engineering, and technical field teams.
Experience:5+ yearsData platformAIDatabases
Skills:CommunicationCollaborationProblem-solving
Languages:English
Tech Stack:PythonSQLAI-assisted development tools

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