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Forward Deployed Engineer, GenAI, Youtube Go-To-Market Technology and Insights

Google

Mountain View, CAJob$128–184K/yrSeen todaySeen in employer's feed today

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At a glance

Compensation
$128–184K/yr
Location
Mountain View, CA
Work Authorization
Not specified

Olive focuses on jobs in the United States, including remote roles you can work from there.

Job overview

The Forward Deployed Engineer will join YouTube’s AI Accelerator team to transform business go-to-market operations through applied AI and systems engineering. The role partners with stakeholders to turn business problems into software solutions, advances GenAI prototypes into production applications, and builds evaluation and observability systems. It also addresses data readiness and integration challenges. Applicants may indicate a preferred work location among San Bruno, Mountain View, or New York.

Skills & qualifications

RequiredNice to have

Skills

Full-Stack Development, requiredSystem Design, requiredJavaScript, requiredTypeScript, requiredJava, requiredPython, requiredC++, requiredDatabase Technologies, requiredSQL, requiredNoSQL, requiredAPI Design, requiredSystems Engineering, requiredCloud Architectures, nice to haveMicroservice Architectures, nice to haveLLM Applications, nice to haveMulti-Agent Systems, nice to haveGenAI Frameworks, nice to haveMCP, nice to haveDatabase Optimization, nice to haveVector Databases, nice to haveEmbedding Generation, nice to haveSearch Architectures, nice to haveAI Data Readiness, nice to haveRequirements Collaboration, nice to haveGTM Operations, nice to haveEnterprise Sales Workflows, nice to haveCRM/CMS Integrations, nice to haveSRE, nice to haveInfoSec, nice to haveDevOps, nice to haveLLM Evals, nice to haveObservability Frameworks, nice to haveAI Guardrails, nice to haveTech Consulting, nice to haveEntrepreneurship, nice to haveZero-to-One Initiatives, nice to haveScalable Product Development, nice to have

Qualifications

Bachelor's in CS or Related, required4+ Years Software Development, required4+ Years Cloud or GenAI Experience, nice to have2+ Years GTM or CRM Experience, nice to have2+ Years SRE or DevOps Experience, nice to haveEnglish Proficiency, required

Full job description

Forward Deployed Engineer, GenAI, Youtube Go-To-Market Technology and Insights

Share Forward Deployed Engineer, GenAI, Youtube Go-To-Market Technology and Insights

corporate_fare YouTube place San Bruno, CA, USA; Mountain View, CA, USA; +2 more; +1 more

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Share Forward Deployed Engineer, GenAI, Youtube Go-To-Market Technology and Insights

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XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: San Bruno, CA, USA; Mountain View, CA, USA; New York, NY, USA .

Minimum qualifications:

  • Bachelor's degree in Computer Science, Electrical Engineering, Math or related quantitative field, or equivalent practical experience in software development.

  • 4 years of experience in full-stack software development and system design.

  • Experience with front end languages (e.g., JavaScript or TypeScript).

  • Experience with backend languages (e.g., Java, Python, or C++).

  • Experience working with database technologies (e.g., SQL, NoSQL).

  • Experience with full-stack development, API design, and systems engineering.

Preferred qualifications:

  • 4 years of experience with cloud/microservice architectures, building LLM applications, multi-agent systems, or GenAI frameworks (e.g., MCP).

  • 4 years of experience optimizing databases, alongside vector databases, embedding generation, search architectures, and AI data-readiness issues.

  • 2 years of experience collaborating on requirements, bringing domain knowledge of GTM operations, enterprise sales workflows, or CRM/CMS integrations.

  • 2 years of experience in SRE, InfoSec, or DevOps, plus background in LLM evals, observability frameworks, and AI guardrails.

  • Experience in tech consulting or entrepreneurial environments, delivering zero-to-one initiatives and building scalable products from the ground up.

About the job

It's an exciting time to join the AI Accelerator team, a newly formed task force dedicated to driving AI transformation for YouTube Business Go-To-Market (GTM) operations. Our mission is to operate as a high-velocity, horizontal transformation engine at the intersection of consulting, product strategy, applied AI, and systems engineering—redesigning legacy workflows from scratch to drive direct business impact for YouTube.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $128000 - $184000 (USD) + 15% bonus target + equity + benefits

Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .

Responsibilities

  • Partner with stakeholders to co-create tool roadmaps, translating ambiguous business problems into tangible software solutions that enable YouTube's operations.

  • Iterate GenAI proof-of-concepts (LLMs, RAG, agentic frameworks) into production-grade AI applications (multi-agent systems, MCP servers) that drive measurable ROI.

  • Execute the full software development lifecycle: author technical design documents, ship maintainable code, build intuitive frontend surfaces, and manage deployment.

  • Build high-performance evaluation (eval) pipelines and observability frameworks to ensure agentic systems meet accuracy, safety, compliance, and latency requirements.

  • Resolve technical hurdles preventing AI maturity, including data readiness gaps, system integration complexities, edge-case managing, and state-management issues.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

How this job compares

Set against the 9,034 open Software Engineering jobs on Olive Jobs, counted November 14, 2026.

Pay
  • This posting$128–184K/yr
  • California median$190–280K/yr1,420 salary ranges
  • US median$146–251K/yr7,057 salary ranges

This range's midpoint, $156K, is 33% below the California median midpoint ($233K) — in the lowest quarter of Software Engineering salary ranges in California.

Openings
Olive Jobs lists 1,896 open Software Engineering jobs in California and 9,034 across the US. 9% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
This posting asks for at least 4 years of experience — less than three in four Software Engineering postings that state a minimum ask for (median 7 years, across 6,893 postings).
Education
2,084 of the 9,034 open Software Engineering jobs (23%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 14, 2026. Figures based on too few postings are left out.

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