Product Manager, AI, Measurement and Optimization

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.

Chrome is dedicated to building a better, more open web. We’re focused on making a better browser (on both desktop and mobile) to help users take advantage of all the web has to offer in a safe and secure way. Chrome is available across all major platforms — iOS, Android, Windows, Mac, Linux and Chrome OS. We also built Chrome as an open source project so the entire web ecosystem could benefit from the latest innovations in speed, simplicity and security.

The US base salary range for this full-time position is $156,000-$229,000 + 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.

Responsibilities

• Build user trust by designing solutions that ensure control, transparency, and data privacy.
• Unify user data by the building of relationships and integrations with other partner teams across Google like Sian, Android, etc.
• Optimize ambient data collection by developing resource-efficient, continuous data extraction from app and web interactions while building effective evaluation systems that can measure effectiveness and drive improvements and innovation.
• Navigate privacy and security by addressing the inherent complexities of ambient user data collection using state of the art technologies like trusted execution environments.
• Foster cross-functional collaboration by partnering across the Chrome organization and beyond to products delightful using our user data.

Responsibilities (

Note:

Duplicate header retained for clarity in this refined version.)

• Build user trust by designing solutions that ensure control, transparency, and data privacy.
• Unify user data by the building of relationships and integrations with other partner teams across Google like Sian, Android, etc.
• Optimize ambient data collection by developing resource-efficient, continuous data extraction from app and web interactions while building effective evaluation systems that can measure effectiveness and drive improvements and innovation.
• Navigate privacy and security by addressing the inherent complexities of ambient user data collection using state of the art technologies like trusted execution environments.
• Foster cross-functional collaboration by partnering across the Chrome organization and beyond to products delightful using our user data.

Requirements and 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).
• Experience in Generative AI (Large Language Models, Multi-Modal, Large Vision Models) and designing products that rely on machine learning algorithms and tools (e.g., Tensorflow), artificial intelligence, deep…