Staff Partner Engineer, AI PartnershipsActive$150K

Databricks
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The opportunity

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…

What you'll do

  • 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.

What they're looking for

  • + 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 adopted.
  • Hands-on engineering skills, with the ability to develop POCs, build demos,: and debug integrations that hold up in front of partner engineering teams and customers. Experience with Python and REST APIs and SDKs.
  • Established existing relationships within the product and engineering: functions of major AI labs and cloud providers.
  • Experience in strategic technical partnerships, navigating multi-company: engineering initiatives, building consensus across organizations, and leading architectural discussions with clarity.
  • Deep knowledge of the Databricks platform and the ability to design AI: architectures that span it and a partner's products.
  • Communication and influence skills, with the ability to present to: engineering teams and executives, and to translate between Product, Engineering, and partner teams.
  • Availability to travel globally to partner sites, conferences, and events as required.