Staff Partner Engineer, AI Partnerships
$150,200–$206,450 year
On-siteNew York City, New York, United States
Job Summary
Lead the technical relationship with strategic AI partners like Anthropic, OpenAI, and Google Gemini by owning joint roadmaps and driving platform integrations. Serve as the primary technical point of contact to build proof-of-concepts, reference architectures, and hands-on labs that evolve into customer-deployable solutions. Translate partner capabilities into Databricks requirements while navigating complex multi-company initiatives to align on joint product offerings. Design and validate new capabilities as a hands-on technical expert, developing field enablement content to equip teams with differentiated value propositions. Collaborate directly with founders and executives to shape architectures that span both Databricks and partner ecosystems, ensuring seamless deployment for enterprise-scale AI systems.
Required Qualifications
- 10+ years in field engineering, consulting, platform architecture, or AI systems development
- 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
- Understanding of how AI products are developed, delivered, and adopted
- Hands-on engineering skills
- Ability to develop POCs, build demos, and debug integrations
- 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
- Ability to navigate multi-company engineering initiatives
- Ability to build consensus across organizations
- Ability to lead architectural discussions with clarity
- Deep knowledge of the Databricks platform
- Ability to design AI architectures that span it and a partner's products
- Communication and influence skills
- Ability to present to engineering teams and executives
- Ability to translate between Product, Engineering, and partner teams
- Availability to travel globally to partner sites, conferences, and events as required
Desired Qualifications
- Prior experience in Partner Solutions Architect, Solutions Engineering, or Alliance Engineering roles at AI companies, cloud providers, global system integrators, or major enterprise software companies
- Track record of driving product-to-product integrations
- Experience taking AI systems to production at enterprise scale
- Understanding of evaluation, cost and performance tuning
- Understanding of security and governance requirements that gate deployment
- Background working at or with a frontier lab or AI-native cloud provider
- Understanding of how they build, ship, and go to market
- Track record of creating technical content that developers use, including reference architectures, deployment guides, blog posts, and conference presentations
- Strong familiarity with modern development workflows and AI-assisted development tools such as Cursor, Claude Code, and Codex
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