# Staff Product Manager, AI Platform

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** Seattle, WA, San Francisco, CA
**Role:** Product Management
**Salary:** $171k – $235k/yr
**Experience:** 5+ years
**Skills:** MLflow, Unity Catalog, Model Serving, Vector Search, Feature Stores, Llm Infrastructure, Distributed Training, Real-Time Inference, Recommendation Systems, Ml Pipelines
**Posted:** 2026-02-18

> Owns AI platform roadmap at Databricks, driving strategy for ML infrastructure including model training, serving, and monitoring. Requires 5+ years PM experience in ML/AI platforms, deep technical background, and enterprise B2B success.

## Job Description

## The impact you will have:

- 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.
- Define pricing, packaging, and commercialization strategy for AI platform features, working with business teams to maximize value capture.
- Grow end-user engagement with Databricks AI tools by identifying adoption bottlenecks and partnering cross-functionally to remove them.

## What we look for:

- 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. You should be comfortable going deep on system architecture, writing technical specs, and engaging credibly with world-class ML engineers.
- 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). Familiarity with recommendation systems is a bonus.
- 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.

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**Canonical:** https://hotfix.jobs/jobs/c82db2b1-9715-4de1-93aa-008a1b98161f