Primary record

Staff Partner Engineer, AI Partnerships

Databricks Indexed employerNew York City, New York; San Francisco, California · San Francisco, California
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Workplace

On-site

Employment

Internship

Published

Aug 11, 2026

Closes

No date supplied

The role

RDQ427R534

At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

About the Role

We're looking for a Partner Engineer to lead the technical relationship between Databricks and our strategic AI partnerships - including Anthropic, OpenAI and Google Gemini. You'll own the joint roadmap with their product teams, drive the development of integrations that connect and extend both platforms, and get hands-on with new product features and tooling. You'll collaborate with partners to build POCs that become new products, demos, and hands-on labs - and ultimately the architectures our customers deploy. With direct visibility and engagement with our founders and executives, this high impact role sits in Partner Engineering and works closely with Product, Engineering, Strategic Partnerships and Global GTM teams.

Impact you will have

• Serve as the primary technical point of contact across the AI labs, building relationships with senior product and engineering stakeholders to drive joint innovation.

• Work alongside our technical executives to shape the joint product roadmap by translating partner capabilities and integration needs into Databricks platform requirements

• Navigate complex relationships in order to align on joint product offerings that address the needs of Databricks, our partner organizations, and our customers.

• De

Requirements

Department: Product