About the role

What will you do at Google?

MINIMUM QUALIFICATIONS:

* Bachelor's degree or equivalent practical experience.

* 8 years of experience in product management or related technical role.

* 3 years of experience taking technical products from conception to launch

(e.g., ideation to execution, end-to-end, 0 to 1, etc).

* Experience developing or launching products or technologies within artificial

intelligence or machine learning (AI/ML).

PREFERRED QUALIFICATIONS:

* Master's degree in a technology or business related field.

* 5 years of experience in a business function or role (e.g., strategic

marketing, business operations, consulting).

* 4 years of experience in a role preparing and delivering technical

presentations to senior leadership.

* 3 years of experience in software development or engineering.

* 3 years of people management experience with direct reports, and in technical

leadership.

* Experience using SoTA LLMs to create new product experiences (e.g., prompting

or SFT with Gemini to create user-visible experiences) and with highly scaled

Search, Recommendation, or Ads products.

ABOUT THE JOB:

At Google, we put our users first. The world is always changing, so we need

Product Managers who are continuously adapting and excited to work on products

that affect millions of people every day.

In this role, you will

work cross-functionally to guide products from conception
to launch by connecting the technical and business worlds. You can break down
complex problems into steps that drive product development.
One of the many reasons Google consistently brings innovative, world-changing
products to market is because of the collaborative work we do in Product
Management. Our team works closely with creative engineers, designers,
marketers, etc. to help design and develop technologies that improve access to
the world's information. We're responsible for guiding products throughout the
execution cycle, focusing specifically on analyzing, positioning, packaging,
promoting, and tailoring our solutions to our users.
The Ads in AI Experiences team is responsible for one of the highest-priority
initiatives at Google: reinventing Search Ads for the AI era (AI Overview, AI
Mode). We are building the tech stack, the user experience, and the business
model simultaneously. Our mission is to ensure that as Search experience evolves
with AI, we unlock new ways for users to discover and engage with businesses
through seamless, next-generation commercial experiences. We are a team of
risk-takers and builders, responsible for experimenting with rapid velocity to
define the next decade of Google’s revenue engine.
Google Ads is helping power the open internet with the best technology that
connects and creates value for people, publishers, advertisers, and Google.
We’re made up of multiple teams, building Google’s Advertising products
including search, display, shopping, travel and video advertising, as well as
analytics. Our teams create trusted experiences between people and businesses
with useful ads. We help grow businesses of all sizes from small businesses, to
large brands, to YouTube creators, with effective advertiser tools that deliver
measurable results. We also enable Google to engage with customers at scale.
Individual pay is determined by factors including job-related skills,
experience, and relevant education or training.
US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google
[https://www.google.com/about/careers/applications/benefits/].
RESPONSIBILITIES:
* Re-invent Search ads for these new AI experiences - AI Mode and AI Overviews
(AIX2). Experiment with a wide variety of new Ad experiences in AI
Experiences and launch the subset of these that are successful.
* Navigate Search Ads through the AI platform shift. Experiment and launch
novel ad experiences for AI Experiences like AI Mode, leveraging Gemini to
ensure that we can continue to provide excellent user and advertiser value
with ads in AI experiences.

Which skills does this role require?

Product ManagementArtificial IntelligenceMachine LearningSearch AdsTechnical PresentationsStrategic MarketingLarge Language ModelsRecommendation SystemsCross-functional LeadershipProduct LaunchData AnalysisAI OverviewsAI ModeTechnical LeadershipAdvertisingAnalyticsCross-functionalProduct LifecycleSearch EngineRevenue EngineUser ExperienceCommercial ExperiencesTech Stack

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