About this 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.
• Design and build the integrations that connect and extend both platforms, serving as the hands-on technical expert and early validator of new capabilities.
• Build POCs and reference architectures that hand off cleanly to engineering teams to productize, or to customers to deploy.
• Work with our most strategic customers to align their AI architecture and roadmap needs with what Databricks and our partners are building.
• Develop and maintain technical field enablement content to equip internal & external field teams with the knowledge and tools to deliver joint architectures and articulate differentiated 'better together' value propositions.
What we're looking for
• 10+ years in field engineering, consulting, platform architecture, or AI systems development, with the ability to master new technologies quickly while managing multiple partners.
• Depth in how AI systems are built and run in production, across model serving, inference, retrieval, and agent frameworks, and an understanding of how AI products are developed, delivered, and