Job Description

Minimum qualifications:

+ Master's degree in Economics, Marketing, or a related field with an emphasis on industrial organization, econometrics, and quantitative methods or equivalent practical experience.

+ 4 years of experience in evaluating economic impacts, such as labor, productivity, and inequality, and comprehension of the economic principles underlying Artificial Intelligence and machine learning.

+ Experience in pricing theory and strategy, with conjoint analysis, price elasticity, and optimal pricing models.

Preferred qualifications:

+ PhD in Economics, Marketing, or a related field with an emphasis on industrial organization, econometrics, and quantitative methods.

+ 2 years of experience in academia or appropriate industry roles.

+ Experience in statistical software packages (e.g., R, Stata, Python) and working with large datasets.

+ Experience in market design, including the theoretical foundations and practical implementation of various market mechanisms.

Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.

Our team works across a range of products and platforms, as well as different functional areas such as finance, sales, product, and policy. We are committed to innovation, analysis, and data-driven decision-making.

In this role, you will be involved in pricing and market design for platforms, as well as the economic impact evaluation of technology adoption, especially for Artificial Intelligence (AI). You will work on some of the most testing and impactful economic questions in the technology industry. You will leverage your skills in industrial organization, market design, and econometrics to inform decisions related to product development, partnerships, pricing strategies, and auction design, as well as the broader economic implications of AI adoption across our products and services.

In this role, you will collaborate with engineers, product managers, financial analysts, our policy team, and research divisions to shape the future of Google's offerings.

The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google () .

+ Lead and contribute to projects focused on understanding and quantifying the economic and social impact of AI across various Google products and services, including productivity gains and broader societal effects.

+ Conduct economic analysis on pricing strategies for Alphabet's range of products and services, considering factors such as demand and supply, market dynamics, auction design, competitive landscape, etc.

+ Develop and apply econometric models and conduct statistical analysis to evaluate the impact of product adoptions and changes, pricing interventions, and market design choices. Use datasets to derive actionable insights and provide data-driven recommendations.

+ Communicate economic concepts and findings clearly and effectively to both technical and non-technical audiences, including executive leadership. Collaborate closely with a large range of internal teams.

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 and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: .

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