> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt. # Lead GenAI Forward Deployed Engineer, YouTube GTM Operations Canonical URL: https://nextmove.md/fde/jobs/8847cd3282bb9d75 Google posts a FDE role to build for teams inside the company in San Bruno, CA and 2 more, at $186,000–$269,000 base, level with the staff+ FDE median of $225,000 across 388 postings with pay. Lead the AI transformation of YouTube Business GTM operations by identifying operational bottlenecks and deploying enterprise-grade GenAI systems. Read from the employer’s posting on November 8, 2026. - [Google](https://nextmove.md/fde/companies/google) First seen Oct 13, 2026 · open on Google careers as of Nov 8, 2026 **$186,000–$269,000** *annualized* San Bruno, CA +2 Lead the AI transformation of YouTube Business GTM operations by identifying operational bottlenecks and deploying enterprise-grade GenAI systems. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F8847cd3282bb9d75&placement=top) - [View posting at Google](https://www.google.com/about/careers/applications/jobs/results/116850468910441158) Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so. ## At a glance ### Posted base pay $186K–$269K Level with the median Midpoint $228K · median $225K This job $186K to $269K. Staff+ FDE postings, 388 postings: the middle 50% of posted pay is $197K to $262K, median $225K. [Compare pay across all Google postings](https://nextmove.md/fde/salary/google) ### The work Builds for teams inside the company Balance **Mostly building** Project stages 1. Pre-sales (not covered) 2. Proof of concept 3. Implementation 4. Operations (not covered) - **Coding**: Writes production code - **Builds for**: Internal teams - **Level**: Staff+ - **Role**: Technical lead ### What they ask for Experience - **9+ years** Building APIs or web applications and designing scalable microservice or system architectures, including backend data pipelines, distributed systems, and data privacy - **8+ years** Full-stack development using one or more programming languages, with practical experience building enterprise-grade applied AI solutions - **4+ years** Working with teams and business stakeholders to create product roadmaps - **4+ years** Tech Lead or Engineering Manager experience - **4+ years** SRE, InfoSec, or DevOps, including building LLM evaluation pipelines, observability, and optimizing LLM-native metrics at scale *Preferred* - **2+ years** Vulnerability testing, security auditing, implementing AI safety guardrails, and ensuring enterprise accuracy *Preferred* Background - **Software engineering** - **Implementation and data engineering** ### Do you meet what the posting states? The posting asks for 4+ years. How many do you have? The posting reads as a staff-level role. What level are you at now? The job is in San Bruno, CA · New York, NY · +1 more. Could you work in one of these? Which of these have you used in production? Answer each one. Nothing is saved or sent. [What postings ask for, by background →](https://nextmove.md/fde/paths) ## Conditions - **Location**: San Bruno, CA · New York, NY · Mountain View, CA ## More like this [Waymo](https://nextmove.md/fde/companies/waymo) ### [AI Enablement Lead](https://nextmove.md/fde/jobs/c882a164e9bc6d53) Mountain View, CA Hybrid 3mo ago $200,000–$247,000 [Analog Devices](https://nextmove.md/fde/companies/analog-devices) ### [Principal Forward Deployed Engineer, Enterprise AI Productivity](https://nextmove.md/fde/jobs/b3b7fcad5a29fac4) Dallas, TX · San Jose, CA 5w ago $200,000–$275,000 [Benchling](https://nextmove.md/fde/companies/benchling) ### [Software Engineer, Tools and Automation](https://nextmove.md/fde/jobs/c4a1efdff7ee042a) San Francisco, CA Hybrid 1mo ago $195,000–$265,000 - [Other jobs at Google (23)](https://nextmove.md/fde/companies/google) ## The job description from Google ### 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. ### Qualifications ### 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. [View posting at Google](https://www.google.com/about/careers/applications/jobs/results/116850468910441158) ## About Google Builds global consumer, ads, cloud, developer and AI platforms spanning Search, YouTube, Android, Workspace and Gemini. Public · 5000+ people ## Similar jobs [Sprinter Health](https://nextmove.md/fde/companies/sprinter-health) ### [AI Enablement Engineer (Senior / Staff)](https://nextmove.md/fde/jobs/9f6e765ba0277c1d) San Francisco, CA · Menlo Park, CA Hybrid 3mo ago $180,000–$260,000 [Citi (Citigroup Inc.)](https://nextmove.md/fde/companies/citi-citigroup-inc) ### [Lead/Staff Forward Deployed AI Engineer - Senior Vice President](https://nextmove.md/fde/jobs/2dcb530c21606047) New York, NY 2w ago $176,720–$265,080 [Jones Lang LaSalle (JLL)](https://nextmove.md/fde/companies/jones-lang-lasalle-jll) ### [Forward Deployed Engineer](https://nextmove.md/fde/jobs/fd5bdcc3529df2db) San Francisco, CA · Chicago, IL · +1 more On-site 6w ago $150,000–$300,000 [Socure](https://nextmove.md/fde/companies/socure) ### [Senior AI Engineer](https://nextmove.md/fde/jobs/9278b0f5eb6e8bd6) New York, NY Hybrid 5mo ago $200,000–$230,000 [TextNow](https://nextmove.md/fde/companies/textnow) ### [Senior Software Developer, AI](https://nextmove.md/fde/jobs/06e7768cfbe42f86) San Francisco, CA Hybrid 5mo ago $148,700–$298,800 - [Compare staff+ FDE salary ranges](https://nextmove.md/fde/salary/staff) - [Similar jobs in New York metro](https://nextmove.md/fde/jobs?region=nyc-metro) - [Similar jobs that build for teams inside the company](https://nextmove.md/fde/jobs?role=internal-deployment) Hiring at Google and want this page changed or removed? 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