Staff Partner Engineer, AI Partnerships
Databricks · New York City, New York; San Francisco, California · Product · listed July 22, 2026
The shape of it
Seniority
Executive
Where
Not stated
Stated pay
$150,200 – $206,450 USD
Requirements listed
9
Length
1,048 words
In the posting’s own words
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.
What it asks for · 9
- 10+ years in field engineering, consulting, platform architecture, or AI systems development, with the ability to master new technologies quickly while managing multiple partners.
- 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.
- 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.
- 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, with a track record of driving product-to-product integrations.
- 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.
Also a plus
- 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, with a track record of driving product-to-product integrations.
- Experience taking AI systems to production at enterprise scale, including evaluation, cost and performance tuning, and the security and governance requirements that gate deployment.
- Background working at or with a frontier lab or AI-native cloud provider, including an 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.
Degree language
- 10+ years in field engineering, consulting, platform architecture, or AI systems development, with the ability to master new technologies quickly while managing multiple partners.
Tools and skills named
Data
- Databricks6×
Go to market
- Partnerships3×
- Go-to-market
- Solutions architecture
Product & design
- Roadmap3×
- User experience
Frameworks
- REST2×
Languages
- Python
Models & research
- Inference
Security & compliance
- Security
Words the posting leans on
- engineering13×
- partner12×
- product11×
- technical8×
- architectures7×
- customers7×
- platform6×
- build5×
- development5×
- integrations5×
- joint5×
- building4×
- data4×
- experience4×
- hands-on4×
- labs4×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
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