Currently tracking 66 active AI roles, down 30% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $130k–$425k (avg $220k).
| Title | Stage | AI score |
|---|---|---|
| Digital Native Go-to-Market (GTM) Leader This role leads the global go-to-market strategy for Databricks' Data and AI platforms, targeting high-growth digital native companies. The leader will act as a technical authority, engaging with CTOs and Engineering leaders, driving revenue growth, and influencing the product roadmap. Key responsibilities include scaling GTM motions, strategic sales partnerships, technical advisory, and thought leadership. Requires deep experience in the Data/AI landscape, hands-on AI system building, and strong program management skills. | Ship | 7 |
| Staff Product Manager, AI Platform Staff Product Manager for Databricks' AI Platform, focusing on driving the vision and roadmap for AI/ML infrastructure products that enable enterprises to build, train, deploy, and monitor AI systems. The role involves deep technical collaboration with engineering, customer engagement, and commercialization strategy for AI platform features, aiming to make it easier for enterprises to put AI into production. |
| ShipServe |
| 7 |
| Staff Product Manager, AI Platform Staff Product Manager for Databricks' AI Platform, focusing on the infrastructure that powers machine learning and AI at scale. The role drives the vision and roadmap for AI platform product areas, enabling enterprises to build, train, deploy, and monitor AI/ML systems. It involves deep technical collaboration, customer engagement, and commercialization strategy for AI platform features. | ServeAgent | 7 |
| Outbound Product Manager, AI Operations Product Manager to own AI-powered GTM agents end-to-end, defining product strategy, roadmap, and partnering with the AI Ops builder team on delivery. The role translates field reality into a product roadmap that improves how Databricks sells. | Agent | 7 |
| Sr. Product Manager, Databricks AI Product Manager to define and drive the vision for Databricks' enterprise AI offerings, focusing on generative AI, agents, and new workloads. The role involves partnering with engineering and research to turn AI advancements into practical products, engaging with customers to uncover use cases, and shaping the long-term strategy for Databricks AI. | Agent | 7 |
| Sr. Product Manager, Databricks AI Product Manager for Databricks AI, focusing on defining and driving the vision for enterprise AI, generative AI, and agents. The role involves partnering with engineering and research to turn AI advancements into practical tools, uncovering new use cases, and building products for scale and longevity. Requires strong technical background in AI/ML and experience with enterprise SaaS or developer platforms. | Agent | 7 |