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Staff Partner Engineer, AI Partnerships

Databricks
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Hybrid (New York City, NY; San Francisco, CA)$150.2k - $206.5kPosted 2mo ago

About the role

Partner Engineer to lead the technical relationship between Databricks and strategic AI partnerships (Anthropic, OpenAI, Google Gemini); own joint roadmaps, drive integrations, build POCs, and enable customers with architectures that span Databricks and partner platforms.

Responsibilities

  • 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.

Qualifications

  • 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 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.

Skills

Required:AI partnerships and technical relationship managementPOC design and demosProgramming and APIsCommunication and stakeholder managementTravel readiness
Last updated Sep 10, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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