Product Manager, Local Ads Data Platform

About the role

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.

Responsibilities

• Drive AI-First Data Strategy for acquiring unique first-party and third-party multi-modal data sources to power next-generation Local Ads AI/ML models.
• Drive the end-to-end product lifecycle for new features and models, test their performance, and iterate quickly to deliver user and advertiser impact.
• Analyze escalations regarding data quality and infrastructure, partnering with Engineering to scope robust solutions and define clear success metrics.
• Collaborate closely with engineering, UX, and partner product management teams to translate business needs into detailed technical requirements and prioritize initiatives and effectively communicate strategy and progress to stakeholders at all levels.
• Collaborate with internal and external partners to source data, manage complex project timelines, and unblock high-impact launches.

Requirements

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in product management or related technical role.
• 3 years of experience as a product manager for data analysis and machine learning software products.
• 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc).

Preferred qualifications

• Experience building long-term, scalable, and easy-to-use AI platforms or infrastructure for foundation model based applications.
• Experience managing day-to-day technical and design discussions and decisions in medium-to-large engineering teams.
• Excellent presentation and communication skills, with the ability to distill complex technical concepts into clear strategic narratives for leadership.
• Passion for leveraging advanced ML techniques to solve complex data problems and create differentiated user experiences.

Benefits

The US base salary range for this full-time position is $163,000-$237,000 + 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.

Schedule

Full-time position.

Pay

The US base salary range for this full-time position is $163,000-$237,000 + 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.