Product Manager II, Ads Data Management & ML

Google; Mountain View (CA); Hybrid; USD 163,000 - 236,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

Paid time off

Sick time

Job summary

Google is seeking a Product Manager for the Ads Data Management team in Mountain View. You will guide products from conception to launch, bridging technical and business perspectives.

Your work will involve collaborating with engineers, designers, and marketers to shape data ingestion, management, and activation for advertisers. You will apply ML techniques to improve measurement and performance in a data-constrained environment while navigating evolving privacy and regulatory landscapes.

Qualifications

• Bachelor's degree or equivalent practical experience required.
• 5 years of experience in product management or related technical roles.
• 2 years of experience taking technical products from concept to launch.
• Experience managing Ad tech products.

Responsibilities

• Own the goal, strategy, and execution for a key product area within Ads Data Management.
• Ideate and apply ML/modeling techniques to deliver measurement breadth and accuracy for advertisers.
• Collaborate with Google ads advertiser, Google Analytics and enterprise platforms PMs to bring goals to life in the UI.
• Leverage privacy-preserving techniques and define goals for conversion measurement evolution.
• Define a compelling product roadmap by understanding advertiser needs and regulatory trends.

Skills

Product management

Ad tech products

From ideation to launch

Cross-functional collaboration

Education

Bachelor's degree or equivalent

Master's degree

Tools

JavaScript

Data infrastructure

Data warehousing

Job description

Google is seeking a Product Manager for the Ads Data Management team in Mountain View. You will guide products from conception to launch, bridging technical and business perspectives.

Your work will involve collaborating with engineers, designers, and marketers to shape data ingestion, management, and activation for advertisers. You will apply ML techniques to improve measurement and performance in a data-constrained environment while navigating evolving privacy and regulatory landscapes.