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About the Role

Guide products from conception to launch by connecting the technical and business worlds. Break down complex problems into steps that drive product development. Work on building new algorithms and optimization layers, pursuing new product paths to drive more advertiser value, and go to market with new suites of ads product features. Work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.

Responsibilities

Work with partner teams (e.g., engineers, PgMs, UX) during product design and development to implement the requirements to turn PRDs into OKRs for one or more teams.
Analyze the ads system to find new areas of opportunity for both advertiser-facing and backend algorithm product improvements.
Develop new bidding approaches to drive more advertiser value across existing and future bidding strategies.
Work closely with engineering and data science to further optimize the bidding system.
Find opportunities for more advertiser value and business growth within overlapping systems (budget pacing, targeting, auctions) and bidding.

Requirements

Bachelor's degree in Statistics, Physics, Economics, Robotics, Math, a related technical field, 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.
1 year of experience building ads algorithm products.
Experience integrating generative AI tools or LLM interfaces into workflows.
Master's degree in a technology or business related field.
3 years of experience in a business function or role (e.g., marketing, business operations, consulting).
3 years of experience in a role preparing and delivering technical presentations to executive 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.

Skills

Product Management
Technical Product Management
Ads Algorithm Products
Generative AI
LLM Interfaces
Machine Learning
Optimization Systems
Data Systems
Platforms
Advertiser-facing products
Backend improvements
Gemini

Location

New York, NY, USA
Mountain View, CA, USA

Work Type

Full-time

Experience Level

5 years of experience in product management or related technical role
2 years of experience taking technical products from conception to launch
1 year of experience building ads algorithm products
Experience integrating generative AI tools or LLM interfaces into workflows
Master's degree in a technology or business related field
3 years of experience in a business function or role
3 years of experience in a role preparing and delivering technical presentations to executive 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

Education Level

Bachelor's degree in Statistics, Physics, Economics, Robotics, Math, a related technical field, or equivalent practical experience.
Master's degree in a technology or business related field.

Salary/Compensations

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

Benefits

15% bonus target
equity
benefits

About the Company

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.
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.
The Bidding team is focused on building and growing adoption of the next generation of bidding products to drive value to all types of advertisers (all sizes, verticals, levels of sophistication, etc). This includes managing the Search and Shopping Bidding systems (ML, optimization systems, new bid strategies and algorithms, data systems, and platforms) and launching both advertiser-facing bidding products and backend improvements.
Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.
Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment.
We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges.

Equal Opportunity

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.