Bachelor's degree in Computer Science, Electrical Engineering, Math, or equivalent experience in software development.
9 years of experience in building APIs or web applications and designing scalable architectures.
8 years of full-stack development experience with languages like Python, Go, Java, C , or TypeScript, focusing on enterprise-grade AI solutions.
4 years of experience collaborating with teams to create product roadmaps.
4 years of experience as a Tech Lead or Engineering Manager.
Responsibilities
Build GenAI proof-of-concepts to demonstrate feasibility and translate business problems into software solutions.
Serve as engineering lead to deliver complex AI applications and transition prototypes to production-grade systems.
Act as a trusted engineering partner to product management, co-creating tool roadmaps for YouTube's operations.
Author technical designs, write clean code, and manage the full development lifecycle from scoping to deployment.
Build high-performance evaluation pipelines and observability frameworks to address AI bottlenecks while ensuring compliance and accuracy.
Benefits
20% bonus target
Equity benefits
Comprehensive health and wellness programs
Flexible working locations including San Bruno, New York, and Mountain View
Opportunities for professional development and growth.
Full Job Description
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X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Bruno, CA, USA; New York, NY, USA; Mountain View, CA, USA.
Minimum qualifications:
Bachelor's degree in Computer Science, Electrical Engineering, Math, a related quantitative field, or equivalent practical experience in software development.
9 years of experience building APIs or web applications, designing scalable microservice or system architectures, including backend data pipelines, distributed systems, and data privacy.
8 years of experience in full-stack development using one or more programming languages (e.g., Python, Go, Java, C , or TypeScript) with practical experience building enterprise-grade applied AI solutions.
4 years of experience working with teams and business stakeholders to create product roadmaps.
4 years of experience as a Tech Lead or Engineering Manager.
Preferred qualifications:
Master's degree or PhD in Artificial Intelligence, Computer Science, or a related field.
4 years of experience with SRE, InfoSec, or DevOps, with experience building LLM evaluation (evals) pipelines, observability, and optimizing LLM-native metrics at scale.
2 years of experience in vulnerability testing, security auditing, implementing AI safety guardrails, and ensuring enterprise accuracy.
Experience with enterprise AI data infrastructure (vector databases, embedding generation, search architectures, data readiness, and state-management).
Experience designing multi-agent systems (ReAct, tool-calling), MCP, and orchestration frameworks.
Knowledge of GTM, sales workflows, or CRMs, with experience driving technical adoption of zero-to-one AI products.
About the job
It's an exciting time to join YouTube's Go To Market Organization's AI Accelerator team, devising the AI transformation for YouTube Business GTM operations. The AI Accelerator is a newly formed task group dedicated to driving AI transformation across the organization. Our mission is to operate as a high-velocity, horizontal transformation engine, partnering directly with YouTube Biz GTM business domains to fundamentally redesign legacy workflows from scratch and leverage applied AI to drive direct business impact for YouTube. We operate at the intersection of consulting, product strategy, applied AI and systems engineering. We identify the most painful operational bottlenecks across the organization and rapidly deploy intelligent, enterprise-grade AI powered solutions to solve them.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $186000 - $269000 (USD) 20% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
Build GenAI PoCs (LLMs, RAG, agentic frameworks) to demonstrate feasibility to stakeholders, translating ambiguous business problems into software solutions.
Serve as engineering Lead delivering complex AI applications, transitioning rapid prototypes to production-grade systems (e.g., multi-agent systems, MCP servers) that drive Return on Investment (ROI).
Act as a trusted engineering partner to product managements and stakeholders, co-creating tool roadmaps that enable YouTube's business operations.
Author technical designs, write clean/maintainable code, build front-ends, and deliver from scoping to deployment.
Build high-performance eval pipelines and observability frameworks to resolve AI bottlenecks (data readiness, system integration, state-management) while ensuring accuracy, safety, compliance, and latency.
About Google
Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
