Lead GenAI Forward Deployed Engineer, YouTube GTM Operations
San Bruno, CA, USA +2 · Full-time · Posted Oct 13, 2026
- Location
- San Bruno, CA, USA
New York, NY, USA
Mountain View, CA, USA - Experience
- 9 years in APIs/web applications and scalable architectures; 8 years in full-stack development and applied AI; 4 years in product roadmaps; 4 years as a Tech Lead or Engineering Manager.
- Education
- Bachelor's degree in Computer Science, Electrical Engineering, Math, a related quantitative field, or equivalent practical experience in software development.
About the job
Leads engineering for YouTube GTM’s AI transformation, turning operational bottlenecks into production-grade AI applications and systems.
What you'll do
- Build GenAI proofs of concept and lead their transition into production-grade applications.
- Partner with product management and stakeholders to develop tool roadmaps and deliver software from design through deployment.
- Develop evaluation pipelines and observability frameworks to address AI performance, safety, compliance, integration, and latency.
What they ask for
- Bachelor’s degree in a quantitative or related field, or equivalent practical experience in software development.
- 9 years building APIs or web applications and designing scalable architectures, including backend data pipelines, distributed systems, and data privacy.
- 8 years of full-stack development in one or more programming languages, with practical experience building enterprise-grade applied AI solutions.
- 4 years working with teams and business stakeholders on product roadmaps; 4 years as a Tech Lead or Engineering Manager.
Nice to have
- Master’s degree or PhD in Artificial Intelligence, Computer Science, or a related field.
- Experience with LLM evaluation and observability, AI safety and security, enterprise AI data infrastructure, multi-agent systems, MCP, orchestration frameworks, or GTM workflows.
Pay
$186000 - $269000 USD base salary
Tools
LLMs, RAG, Python, Go, Java, C++, TypeScript, MCP
AI focus
Builds and deploys applied GenAI solutions, including multi-agent systems, evaluation pipelines, observability, and AI safety guardrails.
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