Product Manager, Ask Advisor AI Agent

Google LLC; Mountain View (CA); On-site; USD 163,000 - 236,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

Paid Time Off

Sick Time

Maternity Leave

Baby Bonding Leave

Holidays

Job summary

Google LLC in Mountain View, CA is seeking a product manager for the Ask Advisor team to own the Google Ads experience across products. You will shape vision, strategy, and roadmaps to help advertisers understand performance and take action.

You will partner with Merchant Center, Google Analytics, and Support to create a unified advisor that spans advertising and commerce products, guiding journeys from insight to completed action.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in product management or related technical role.
• 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).
• 1 year of experience working in Adtech products.
• Experience integrating generative AI tools or LLM interfaces into workflows.
• Experience shipping AI-powered, conversational, or machine learning products.

Responsibilities

• Own the vision, strategy, and roadmap for Ask Advisor in Google Ads, the AI agent that helps advertisers understand performance, fix problems, and take action.
• Partner with Merchant Center, Google Analytics, and Support teams to build one advisor that carries context across products.
• Prioritize journeys advertisers cannot complete today, such as campaign creation, account verification, conversion tracking, and troubleshooting, and take them from insight to completed action.
• Grow the share of requests the agent completes end-to-end, with previews, approvals, and undo and make it proactive.
• Define a shared quality bar for agent journeys, and measure engagement and advertiser outcomes with Data Science and UX Research.

Skills

Bachelor's degree or equivalent

5 years product management or related

2 years end-to-end product launches

1 year Adtech experience

AI tools / LLM integration

AI-powered / ML products shipping

Education

Bachelor's degree

Master's degree

Job description

In 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: Mountain View, CA, USA; Kirkland, WA, USA; New York, NY, USA .

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in product management or related technical role.
• 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).
• 1 year of experience working in Adtech products.
• Experience integrating generative AI tools or LLM interfaces into workflows.
• Experience shipping AI-powered, conversational, or machine learning products.

Preferred qualifications:

• Master's degree in a technology or business related field.
• 3 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).
• 3 years of experience in a role preparing and delivering technical presentations to senior leadership.
• 2 years of experience in software development or engineering.
• 2 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.
• 1 year of experience in technical leadership.

About the job

The Infrastructure & Experiences team delivers a reliable, helpful, and low-latency product experience for advertisers and internal Ads clients by providing the data, scaled tooling, and conversational assistance they need to achieve their business outcomes.

This role sits on the Ask Advisor team, which builds Google's AI agent for advertisers. Inside Google Ads, hundreds of thousands of advertisers use Ask Advisor every month to understand performance, fix problems, and make changes to their accounts with their approval. Feature teams across Google Ads contribute skills to it, from campaign creation and creatives to billing, policy, and reporting.

We are now extending Ask Advisor beyond Google Ads into one advisor that works across Google's advertising and commerce products, including Merchant Center and Google Analytics, so a business can start anywhere and get help everywhere. This PM owns the Google Ads experience and helps lead the journeys that span products.

Advertisers don't want another dashboard. They want a partner that knows their business, tells them what matters, and gets the work done. Ask Advisor is Google's AI agent for advertisers. Inside Google Ads, hundreds of thousands of advertisers use it monthly to understand performance, fix problems, and make changes with their approval.

You own the Google Ads experience of that advisor and help lead the journeys that span products.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

Responsibilities

• Own the vision, strategy, and roadmap for Ask Advisor in Google Ads, the AI agent that helps advertisers understand performance, fix problems, and take action.
• Partner with Merchant Center, Google Analytics, and Support teams to build one advisor that carries context across products.
• Prioritize journeys advertisers cannot complete today, such as campaign creation, account verification, conversion tracking, and troubleshooting, and take them from insight to completed action.
• Grow the share of requests the agent completes end-to-end, with previews, approvals, and undo and make it proactive.
• Define a shared quality bar for agent journeys, and measure engagement and advertiser outcomes with Data Science and UX Research.

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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .