Job Description

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in product management or a 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).
• 2 years of experience as a Product Manager working on AdTech or digital advertising measurement.
• Experience integrating generative AI tools or LLM interfaces into workflows.

Preferred qualifications

• 5 years of experience in product management, data science, or technical program management working on data-intensive, ML-driven, or infrastructure products.
• Experience translating ambiguous technical and statistical concepts into clear product requirements, roadmaps, and executive narratives.
• Experience in AdTech, digital advertising measurement, Multi-Touch Attribution (MTA), Marketing Mix Modeling (MMM), causal inference/lift experimentation, or conversion bidding systems.
• Demonstrated ability to lead cross-organizational initiatives and align senior engineering, data science, and business stakeholders without direct authority.
• Familiarity with Google's advertising and measurement ecosystem (e.g., Google Ads, Google Analytics, SA360, CM360, DV360, Floodlight).

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.

We are looking for an entrepreneurial, technically strong Product Manager to join the Attribution team within the Analytics, Insights, and Measurement (AIM) organization.

Attribution is a complex problem that many advertisers do not have the resources to effectively manage in-house. Our team's mission is to develop best-in-industry attribution models to help advertisers properly recognize the impact of their marketing programs in a more nuanced (data-driven) way compared to traditional rule-based methods (e.g. Last Click). With these insights we aim to drive more effective spend and ultimately higher customer satisfaction.

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. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.

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

• Define the multi-year direction and roadmap for Google's core attribution modeling portfolio across Google Ads, Google Analytics, and Google Marketing Platform (GMP)
• Manage the full product lifecycle—from opportunity sizing in SQL/Plx and authoring product required documents to navigating complex cross-product area launch approvals, running causal impact experiments, and validating realized business growth with Finance.
• Partner closely with Engineering, Research Data Science, UX, Go-To-Market (GPS/GPL), Legal, and Privacy teams to align incentives across horizontal infrastructure and vertical ad channels.
• Engage directly with advertisers, Sales, and gTech to diagnose complex attribution behaviors, design causal validation frameworks for Last-Click opt-out cohorts, and build customer trust in AI-driven measurement.