AAI Deployment Program Manager, Cloud Applied AI
corporatefare_ Google place Sunnyvale, CA, USA; Kirkland, WA, USA
Advanced
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
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XIn accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
Health, dental, vision, life, disability insurance
Retirement Benefits: 401(k) with company match
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
Baby Bonding Leave: 18 weeks
Holidays: 13 paid days per year
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Kirkland, WA, USA .
Minimum qualifications:
Bachelor's degree in a technical field or equivalent practical experience.
8 years of experience in program management.
8 years of experience working with machine learning.
Preferred qualifications:
10 years of experience managing complex cross-functional or cross-team projects.
10 years of experience working with direct customer executives and stakeholder management.
Experience with deployment Agentic AI to enterprise customers.
About the job
A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Program Manager at Google, you'll lead complex, multi-disciplinary projects from start to finish - working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines.
Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for customer experience, along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed.
As a Program Manager, you are the primary delivery for DRI orchestrating cross-functional teams for agentic AI deployments. You drive velocity to transition enterprise customers from pilots to full-scale production, acting as the centralized account owner. Your responsibilities include leading customer interactions, advising on GenAI-native architectures, and partnering with technical DRIs to translate complex builds into business solutions. You also collaborate with leadership to establish transparent program management, define performance metrics, balance resources, and ensure cross-team accountability so engineering can focus on building while you manage risks and executive reporting.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $188000 - $274000 (USD) + 20% bonus target + equity + benefits
Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
Responsibilities
Coordinate cross-functional teams, including solution architects and engineers, to guide GenAI agents from discovery to high-scale production.
Implement robust testing pipelines and golden datasets to validate LLM prompts, ensuring accuracy, persona alignment, and brand voice.
Oversee complex enterprise stack connections (CRMs, APIs) while resolving latency, infrastructure, and compliance (GDPR, SOC2) issues.
Lead executive syncs to transition customers to GenAI architectures, prioritizing high resolution rates and CSAT over static milestones.
Monitor agent performance metrics to proactively prevent pilot stalls, manage RAG knowledge bases, and relay feature requests to product managers.
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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/) .
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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/OFCCPEEOPost.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.
