Staff Product Manager, AI Platform

Databricks
San Francisco, Seattle
Workplace: OnsiteFull timeUSD 180,000 - 247,500 annuallyFunction: Product ManagementExperience: 5+ yearsSkills: ["Leadership","Communication","Stakeholder management"]

Lead the vision and roadmap for Databricks AI Platform products, defining how customers build, train, deploy, and monitor AI/ML systems on Databricks. Collaborate with engineering to balance technical depth with product impact, drive enterprise adoption, and shape pricing, packaging, and field enablement for AI infrastructure capabilities.

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FursaFursa
Databricks
Databricks
6 months ago

Staff Product Manager, AI Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

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

Job Summary

Lead the vision and roadmap for Databricks AI Platform products, defining how customers build, train, deploy, and monitor AI/ML systems on Databricks. Collaborate with engineering to balance technical depth with product impact, drive enterprise adoption, and shape pricing, packaging, and field enablement for AI infrastructure capabilities.
Location: San Francisco, Seattle
Workplace: Onsite
Employment Type: Full time
Job Function: Product Management

Key Responsibilities

  • •Own the product roadmap for AI platform areas — defining what we build, why, and in what order — to accelerate customer adoption of AI and ML in production.
  • •Drive strategy for key AI platform capabilities, shaping how enterprises operationalize AI at scale.
  • •Partner closely with engineering teams to make deeply technical decisions about ML infrastructure — from distributed training architectures to real-time serving systems.
  • •Represent the voice of the customer by engaging directly with enterprise ML teams, translating their pain points and workflows into platform capabilities that simplify the path to production AI.
  • •Collaborate with GTM, Solutions Architecture, and Customer Success teams to drive enterprise adoption, shape field enablement, and inform competitive positioning.

Pay and Benefits

Salary: USD 180,000 - 247,500 annually

Key Requirements

  • •5+ years of experience as a Product Manager working on platform or infrastructure products, ideally in ML/AI, data, or cloud services.
  • •Deep technical background — CS, EE, or equivalent degree strongly preferred; former software engineer experience is a significant plus.
  • •Experience with ML/AI infrastructure, data platforms, or cloud services (e.g., model training, model serving, feature stores, vector search, LLM infrastructure, ML pipelines, or similar systems).
  • •Proven enterprise B2B product management experience with highly technical customers — you have shipped platform products, driven commercial outcomes, and worked with field teams to land enterprise deals.
Experience:5+ yearsMlAiCloudData platform
Skills:LeadershipCommunicationStakeholder management
Languages:English
Tech Stack:MLflowUnity CatalogModel ServingVector SearchLLM infrastructureFeature EngineeringDistributed training

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