Lead GenAI Forward Deployed Engineer, YouTube GTM Operations

Lead GenAI Forward Deployed Engineer, YouTube GTM Operations Share Lead GenAI Forward Deployed Engineer, YouTube GTM Operations

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corporate_fareYouTubeplaceSan Bruno, CA, USA; New York, NY, USA; +2 more; +1 more Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

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info_outline XNote: 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 In gTech Users and Products (gUP), our mission is to advocate for Google’s users by creating helpful and trusted experiences across the product ecosystem. We achieve this by meeting partners and consumers where they are with support and help, representing their needs with our product partners and proposing fixes and features that elevate their engagement with Google's diverse product ecosystem. Additionally we provide a range of product services that ensure our products are optimized for every user, no matter where they are in the world (e.g., localization, digitization, partner integration, and more). 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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.