Back to jobs

Product Manager, Media Effectiveness

Google · Kirkland, WA · Seattle, WA

Spotted 19h ago

Job details

Pay
$138,000 – $197,000 a year
Level
Mid level
Experience
3+ years
Education
Bachelor's degree
Posted
Oct 12, 2026
Last confirmed open
Oct 12, 2026
Job description

About this role

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

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.

Benefits for this role include

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 Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Kirkland, WA, USA; Los Angeles, CA, USA; Mountain View, CA, USA; Seattle, WA, USA; San Francisco, CA, USA .

Minimum qualifications

  • Bachelor's degree or equivalent practical experience.
  • 3 years of experience in product management or a related technical role.
  • 1 year of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).
  • 1 year of experience as a product manager for data, analytics, or ads measurement software products.
  • Experience integrating generative AI tools or LLM interfaces into workflows.

Preferred qualifications

  • Master's degree in a technology or business related field.
  • 2 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.
  • 1 year of experience in software development or engineering.

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. This Product Management role sits within the media effectiveness measurement team, focusing on our Marketing Mix Model solutions.

We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds to help design and develop technologies that improve access to the world's information.

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: $138000 - $197000 (USD) + 15% bonus target + equity + benefits

Responsibilities

  • Learn more about benefits at Google .
  • Guide products from conception to launch by connecting the technical and business worlds to develop technologies that improve access to information.
  • Collaborate with engineering, product, and UX teams across Google Ads, Google Analytics to identify the future of Marketing Mix Model (MMM) measurement.
  • Define product roadmaps by operationalizing strategy and articulating product goals to drive action.
  • Validate market size and opportunities while identifying new strategic and revenue opportunities in the market landscape.
  • Facilitate product launches, maintenance, and retirement in collaboration with cross-functional teams and stakeholders.
  • Google is proud to be an equal opportunity workplace and is an affirmative action employer.
  • We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
  • We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
  • See also Google's EEO Policy and EEO is the Law.
  • If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Interested in this role?Continue on LinkedIn to apply.
Apply on LinkedIn