Sr. Product Manager - Technical

Databricks
New York
Workplace: OnsiteFull timeFunction: Product ManagementExperience: 5+ yearsSkills: ["Communication","Customer empathy","Collaboration","Cross-functional teamwork","Problem-solving"]

Technical Product Manager who bridges product, engineering, and technical field teams to translate functional and non-functional requirements into the Databricks Data Intelligence Platform. Focus areas include OLTP Databases or Data Governance, evaluating workloads for performance, reliability, and compliance, and shaping product roadmaps while guiding governance and adoption across multiple stakeholders.

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FursaFursa
Databricks
Databricks
7 months ago

Sr. 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 who bridges product, engineering, and technical field teams to translate functional and non-functional requirements into the Databricks Data Intelligence Platform. Focus areas include OLTP Databases or Data Governance, evaluating workloads for performance, reliability, and compliance, and shaping product roadmaps while guiding governance and adoption across multiple stakeholders.
Location: New York
Workplace: Onsite
Employment Type: Full time
Job Function: Product Management
Seniority: Sr. Manager level

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 hands-on technical experience with a strong product mindset.
  • •Strong empathy for customers across the full spectrum of Data Platform users.
  • •Deep domain expertise in one of: (a) transactional databases (OLTP), cloud-native databases, or distributed systems; (b) data governance, data catalogs, lineage, and access management.
  • •Experience evaluating and comparing technologies across performance, reliability, governance, and compliance.
  • •Strong Python and SQL skills; experience using AI-assisted development tools; experience with systems design and architecture.
Experience:5+ yearsData platformOLTPData governanceCloud-nativeAI
Skills:CommunicationCustomer empathyCollaborationCross-functional teamworkProblem-solving
Languages:English
Tech Stack:PythonSQLAI-assisted development toolsDistributed systemsCloudDatabases

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