Senior Product Manager — AI/ML Platform

Best AI Tools Wiki; San Francisco, Northern (CA, KY); Hybrid; USD 170,000 - 250,000; Full time

Benefits offered by this job

Pre-IPO equity

Remote flexibility

Annual bonus

Unlimited PTO

Job summary

Databricks is seeking a Senior Product Manager to lead the AI/ML platform strategy on the Lakehouse. You will define the vision for model development, deployment, and monitoring, working with engineering, data science, and go-to-market teams to align product goals with customer needs.

The role requires 5+ years in data/ML platforms, strong knowledge of ML workflows and MLOps, and experience shipping enterprise platform features at scale. Remote-friendly with competitive bonus and equity options.

Qualifications

• 5+ years of product management in data/ML platforms.
• Deep understanding of ML workflows and MLOps.
• Experience with enterprise platform products.
• Ability to work with technical and non-technical stakeholders.
• Nice to have Databricks or Spark ecosystem experience.
• Background in data engineering or ML engineering.
• MBA or technical graduate degree is a plus.
• Experience launching platform features at scale.

Responsibilities

• Define the vision for ML model development, deployment, and monitoring on the Lakehouse.
• Collaborate with engineering, data science, and go-to-market teams.
• Own the product roadmap for AI/ML platform features.

Skills

ML workflows

MLOps

Stakeholder communication

Enterprise platform experience

Data/ML platform product management

Education

MBA or technical graduate degree

Tools

Databricks

Spark ecosystem

Job description

Databricks is seeking a Senior Product Manager to lead the AI/ML platform strategy. You will define the vision for ML model development, deployment, and monitoring capabilities on the Lakehouse, working with engineering, data science, and go-to-market teams.

Requirements

• 5+ years of product management in data/ML platforms
• Deep understanding of ML workflows and MLOps
• Experience with enterprise platform products
• Ability to work with technical and non-technical stakeholders

Nice to Have

• Experience with Databricks or Spark ecosystem
• Background in data engineering or ML engineering
• MBA or technical graduate degree
• Experience launching platform features at scale

Pre-IPO equity

Remote flexibility

Annual bonus

Unlimited PTO