Sr. Partner Engineer
Leads technical partnerships with major AI labs by shaping joint roadmaps, building integrations and proofs of concept, and designing production AI architectures. Requires 10+ years in field engineering, consulting, platform architecture, or AI systems development, plus strong Python and partner-influence skills.
About the job
Responsibilities
- Serve as the primary technical point of contact across AI labs, building relationships with senior product and engineering stakeholders to drive joint innovation.
- Shape joint product roadmaps by translating partner capabilities and integration needs into platform requirements.
- Navigate complex relationships to align joint product offerings with the needs of the company, partners, and customers.
- Design and build integrations connecting and extending both platforms.
- Build proofs of concept and reference architectures for engineering teams to productize or customers to deploy.
- Work with strategic customers to align AI architecture and roadmap needs with partner and platform development.
- Develop and maintain technical field-enablement content, including joint architectures and value propositions.
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 to develop proofs of concept, build demos, and debug integrations.
- Experience with Python, REST APIs, and SDKs.
- Established relationships within product and engineering functions at major AI labs and cloud providers.
- Experience with strategic technical partnerships, multi-company engineering initiatives, consensus building, and architectural leadership.
- Deep knowledge of the Databricks platform and ability to design AI architectures spanning Databricks and partner products.
- Strong communication and influence skills across Product, Engineering, partner teams, and executives.
- Willingness to travel globally to partner sites, conferences, and events.
Preferred Qualifications
- Experience in Partner Solutions Architect, Solutions Engineering, or Alliance Engineering roles at AI companies, cloud providers, global system integrators, or enterprise software companies.
- Experience taking AI systems to production at enterprise scale, including evaluation, cost and performance tuning, security, and governance.
- Experience working at or with a frontier lab or AI-native cloud provider.
- Track record of creating developer-facing technical content, such as reference architectures, deployment guides, blog posts, and conference presentations.
- Familiarity with modern development workflows and AI-assisted development tools such as Cursor, Claude Code, and Codex.
Compensation and Benefits
- Zone 1 pay range: $150,200–$206,450 USD.
- Compensation may include an annual performance bonus, equity, and benefits.
- Comprehensive benefits and perks are offered, with details varying by region.
Skills
Python, REST APIs, SDKs, Model Serving, Inference, Retrieval, Agent Frameworks, Databricks, Ai Architectures, Reference Architectures, Cloud Providers, Cursor, Claude Code, Codex
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