Staff Partner Engineer AI Partnerships
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will lead technical relationships with strategic AI partners, define joint roadmaps, and design integrations between platforms. You will build proofs of concept, demos, and reference architectures, support strategic customers, create field enablement content, and travel to partner sites, conferences, and events as required.
Requirements
- 10+ years of field engineering, consulting, platform architecture, or AI systems development experience
- AI systems
- Model serving
- Inference
- Retrieval
- Agent framework
- Python
- REST API
- SDK
- Strategic technical partnerships
- Databricks platform
- AI architecture
- Technical enablement
- Global travel availability
Responsibilities
- Lead technical relationships with strategic AI partners
- Shape joint product roadmaps
- Design and build platform integrations
- Build proofs of concept and reference architectures
- Align customer AI architectures with joint roadmaps
- Develop technical field enablement content
- Travel globally to partner sites, conferences, and events as required
Benefits
- Annual performance bonus eligibility
- Equity eligibility