Senior Developer, Partnerships Engineering

Details

• Strong backend or full-stack engineering experience building APIs, SDKs, platform capabilities, and integrations with AI-native technologies (LLM APIs, agent frameworks, embeddings, or retrieval systems)
• A track record of delivering complex integrations across organizational boundaries
• Comfort engaging directly with external technical stakeholders and representing engineering decisions clearly
• Experience designing secure systems, including authentication, authorization, and policy-driven access models
• Ability to reason about partner architectures and translate them into pragmatic integration designs
• Clear technical writing and documentation skills
• Strong ownership mindset you drive work forward without waiting for perfect clarity
• Sound judgment on when to build reusable infrastructure versus solving a narrow partner need
• Experience building or maintaining developer platforms or SDK ecosystems
• Familiarity with browser integrations or extension architectures
• Experience migrating systems to new platform primitives or security models
• Hands-on experience integrating with external AI companies or AI-native technologies such as LLM APIs, agent frameworks, embeddings, or retrieval systems
• Lead technical design and implementation for complex external integrations spanning SDKs, service accounts, browser surfaces, new platform systems, and AI-native platforms
• Partner closely with the Strategic Partnerships team to validate feasibility, assess partner architectures, and shape practical integration approaches
• Build and extend platform components required to support in-flight integrations
• Identify common integration patterns and abstract them into reusable infrastructure
• Contribute to the external integrations program, including tracking lifecycle progress from initial discussion through GA
• Produce clear technical artifacts (design docs, sequence diagrams, integration guides) that support both internal alignment and partner execution
• Improve self-service documentation and tooling so integrations become increasingly plug-and-play
• Support partner migrations to new platform capabilities, including new platform systems-based systems with auditing and policy controls
• Use focused POCs to de-risk new integration patterns, including integrations with external AI platforms and model providers, and inform platform investments