# Staff Product Manager, AI Platform

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** San Francisco, CA, Seattle, WA, California
**Role:** Product Management
**Salary:** $180k – $248k/yr
**Experience:** 5+ years
**Skills:** MLflow, Unity Catalog, Model Serving, Vector Search, Feature Stores, Llm Infrastructure, Distributed Training, Real-Time Inference, Ml Pipelines, Recommendation Systems
**Posted:** 2026-02-18

> Staff Product Manager owns AI platform roadmap, driving strategy for ML lifecycle infrastructure including model training, serving, vector search, and LLMs. Requires 5+ years PM experience, deep technical background, and enterprise B2B success.

## Job Description

## Impact/Responsibilities

- Own the product roadmap for AI platform areas to accelerate customer adoption of AI/ML in production
- Drive strategy for key AI platform capabilities and enterprise operationalization at scale
- Partner with engineering on technical decisions for ML infrastructure (distributed training, real-time serving)
- Engage with enterprise ML teams to translate pain points into platform capabilities
- Collaborate with GTM, Solutions Architecture, and Customer Success for adoption and competitive positioning
- Define pricing, packaging, and commercialization strategy for AI features
- Identify adoption bottlenecks and drive cross-functional solutions

## What We Look For

- **5+ years** as Product Manager on platform/infrastructure products (ML/AI, data, or cloud services preferred)
- Deep technical background (**CS/EE degree strongly preferred**; former software engineer a plus)
- Experience with ML/AI infrastructure (model training/serving, feature stores, vector search, LLM infra, ML pipelines)
- Proven B2B enterprise product management with technical customers and commercial outcomes

**Bonus**: Familiarity with recommendation systems

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**Canonical:** https://hotfix.jobs/jobs/e3f53402-e846-4711-b9e9-34cd85523033