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Applied AI Insights Lead, Creator and Consumer Experience Operations, YouTube

Google

New York, NYJob$140–204K/yrSeen todaySeen in employer's feed today

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At a glance

Compensation
$140–204K/yr
Location
New York, NY
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Applied AI Insights Lead will own measurement and insights for YouTube’s consumer-facing Agentic AI support agent and related AI capabilities. The role defines performance measures, evaluates virtual-agent quality and user experience, and partners with AI, design, data science, and engineering teams to develop capabilities. It also leads cross-functional initiatives involving intent identification, personalization signals, and route-to-value implementation.

Skills & qualifications

RequiredNice to have

Skills

AI AnalyticsPredictive ModelingLarge Language ModelsAgentic PlatformsAutomated PipelinesAI-Assisted WorkflowsInteractive SimulationsSelf-Serve Data ApplicationsPythonSQLBigQueryAPIsConsumer BehaviorUser Experience PrinciplesConsumer Support StrategyChange ManagementLeadershipCommunicationBusiness JudgmentModelingSpreadsheet SoftwarePresentation Software

Qualifications

Bachelor's Degree or Equivalent8 Years Customer Support OperationsEnglish Proficiency

Full job description

Applied AI Insights Lead, Creator and Consumer Experience Operations, YouTube

Share Applied AI Insights Lead, Creator and Consumer Experience Operations, YouTube

corporate_fare YouTube place New York, NY, USA; San Bruno, CA, USA

Mid

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

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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: New York, NY, USA; San Bruno, CA, USA .

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.

  • 8 years of experience in customer or consumer support operations within a B2C, technology, consulting, financial services, or media industry.

  • Experience leveraging AI analytics, predictive modeling, or large language models (LLM) to streamline customer journeys and automate service workflows.

Preferred qualifications:

  • Experience working with agentic platforms.

  • Experience building automated pipelines, AI-assisted workflows, and interactive simulation or self-serve data applications (using Python, SQL/BigQuery, and APIs).

  • Understanding of consumer behavior and user experience principles.

  • Ability to develop and implement consumer support strategies and solutions either in a B2C company or at a consulting firm, ideally in the media, internet or e-commerce industries.

  • Ability to effectively influence and drive change with cross-functional stakeholders at all levels of management, including senior-level executives.

  • Excellent leadership, communication, business judgment, modeling, spreadsheet and presentation software skills.

About the job

The mission for Creator and Consumer Experience Operations (CCXO) at YouTube is to give everyone a voice and show them the world, by removing everything that stands in their way. We meet user needs with moments of delight, education and growth, helping Creators to scale their ambitions and Consumers to deepen their engagement. Powered by AI and human empathy, we deliver One YouTube: an experience that is preemptive, personal, and easy across every product, channel and surface.

In this role, you will own the measurement and insights of CCXO’s consumer-facing Agentic AI support agent, as well as other related AI-based capabilities. You are responsible for defining how Google measures the performance of Agentic experiences–including measuring agent quality, resolution, and user experience–and partnering with AI business, design, journey measurement, data science, and engineering teams to develop new capabilities. You will pursue analyses to better assess the performance and experience of the virtual agents and collaborate with partner teams to implement, and lead and own cross-functional strategic initiatives related to delivering great AI experiences, including LLM intent identification and taxonomy, personalization signals, and route-to-value implementation.

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: $140000 - $204000 (USD) + 15% bonus target + equity + benefits

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

Responsibilities

  • Own the end-to-end measurement strategy for agentic experience metrics, including quality, resolution, and sentiment. Own the methodology, supporting data integrity and setting global performance benchmarks.

  • Define AI-driven support measurements and evaluations. Develop next-generation measurement frameworks to score agentic interactions, ensuring that the AI/LLM solutions are held to the highest standards of trust, user effort, accuracy, and fluency. Transition from traditional operational metrics (e.g., Containment) towards measures that provide greater insight into a user’s experience.

  • Build and own models that tie qualitative user experience to business outcomes. Establish the correlation between upstream journey health (e.g., Resolution, Sentiment) and downstream growth metrics (e.g., sign-up rate, customer lifetime value).

  • Identify opportunities to improve AI support interactions and improve journey health through unit-of-one experiences. Work cross-functionally to support the implementation, evaluation, and assessment of these capabilities.

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 2,449 open Data Analytics jobs on Olive Jobs, counted November 7, 2026.

Pay
  • This posting$140–204K/yr
  • New York median$125–180K/yr172 salary ranges
  • US median$118–195K/yr1,688 salary ranges

This range's midpoint, $172K, is 11% above the New York median midpoint ($155K) — in the middle half of Data Analytics salary ranges in New York.

Openings
Olive Jobs lists 255 open Data Analytics jobs in New York and 2,449 across the US. 7% of them nationwide are listed as remote or flexible.
Hiring the most in New York
Experience
This posting asks for at least 8 years of experience; Data Analytics postings that state a minimum ask for 5 years at the median (1,919 postings).
Education
1,178 of the 2,449 open Data Analytics jobs (48%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 7, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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