Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 5 years of experience with software development and experience with coding in Python, JavaScript/TypeScript, or similar languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• Experience with Machine Learning systems or Large Language Models (LLMs).
• Experience in a customer-facing role, managing client relationships or external stakeholders.

Preferred qualifications:

• Experience working with developer tools, APIs, SDKs, or platform integration.
• Ability to collaborate directly with external customers or partners in a technical capacity.
• Ability to work independently with minimal oversight across global time zones.
• Excellent technical writing and communication skills, along with the ability to produce documentation, tutorials, or engineering case studies.

About the job

Responsibilities

• Embed with strategic partners, own the technical relationship with top strategic partners, helping them architect, optimize, and build production-grade GenAI applications. Serve as the primary technical escalation path for strategic partners during critical launch windows and production issues.
• Drive joint evaluations and benchmarking, build and run systematic evals on partner-specific datasets to deliver high-fidelity performance signals directly to modeling teams.
• Optimize GenAI workloads, guide partners on advanced implementation techniques, including prompt engineering, complex Retrieval-Augmented Generation (RAG) architectures, and multimodal integrations.
• Author high-visibility case studies, developer blogs, and reference implementations to showcase Gemini's production capabilities.
• Build feedback loop tooling, collaborate with product engineering to develop tooling that aggregates and surfaces developer feedback patterns at scale.