Staff Partner Engineer, AI Partnerships
Databricks2 months ago
Base Salary
$150k - $206k/yr
Responsibilities
- Serve as the primary technical point of contact for strategic AI lab partners and build relationships with senior product and engineering stakeholders.
- Shape joint product roadmaps by translating partner capabilities and integration needs into Databricks platform requirements.
- Design, build, and debug integrations connecting Databricks with partner platforms.
- Create POCs, demos, reference architectures, hands-on labs, and other assets for productization or customer deployment.
- Align strategic customer AI architecture and roadmap needs with Databricks and partner development plans.
- Lead architectural discussions and consensus-building across multiple organizations.
- Develop and maintain technical field enablement content for internal and external teams.
- Travel globally to partner sites, conferences, and events as required.
Requirements
- 10+ years of experience in field engineering, consulting, platform architecture, or AI systems development.
- Deep understanding of production AI systems, including model serving, inference, retrieval, and agent frameworks.
- Hands-on engineering ability with experience using Python, REST APIs, and SDKs to build POCs, demos, and integrations.
- Established relationships with product and engineering teams at major AI labs and cloud providers.
- Experience leading strategic technical partnerships and multi-company engineering initiatives.
- Deep knowledge of the Databricks platform and the ability to design architectures spanning Databricks and partner products.
- Strong communication and influence skills for presenting to engineering teams and executives and translating across functions.
- Preferred experience in Partner Solutions Architect, Solutions Engineering, or Alliance Engineering roles and product-to-product integrations.
- Preferred experience deploying AI systems at enterprise scale, including evaluation, cost and performance tuning, security, and governance.
- Preferred experience working at or with a frontier lab or AI-native cloud provider.
- Preferred track record of producing developer-facing technical content such as reference architectures, deployment guides, blog posts, and conference presentations.
- Preferred familiarity with Cursor, Claude Code, and Codex.
Benefits
- Comprehensive employee benefits and perks are offered, with specific details varying by region.
- Global travel to partner sites, conferences, and events is required.
Tech Stack
DatabricksPython
Categories
Solutions Engineering
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.