Product Manager II, Ads Data Management

Applicants in the County of Los Angeles:
Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees.

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

You may share your preferred working location from the following:
Mountain View, CA, USA;
Irvine, CA, USA;
Kirkland, WA, USA

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in product management or related technical roles.
• 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, 0 to 1, etc).
• Experience managing Ad tech products.

• Master's degree in a technology or business related field.
• 3 years of experience in a role preparing and delivering technical presentations to executive leadership.
• 2 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.
• Experience in data infrastructure, tag/JavaScript, data warehousing and handling first-party data for advertisers, agencies and partners.
• Experience with machine learning and modeling.

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.

The Ads Data Management team is a group of innovators passionate about empowering advertisers by enabling them to see and share their data easily for better return on ad spend, with guarantees that their data is only used for the purposes they see fit. We are the driving team behind several impactful 0 to 1 products that are reshaping how businesses leverage their first-party data.

Our creations include the game-changing Google tag gateway, the unified data manager platform, the versatile data manager API, and compute solutions for enhanced privacy. Our mission is to make data ingestion, management, and activation seamless and powerful, enabling marketers to achieve better results while building customer trust.

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to You Tube creators, with effective advertiser tools that deliver measurable results.

We also enable Google to engage with customers ividual pay is determined by factors including job-related skills, experience, and relevant education or training.

US:…