Product Manager, Media Effectiveness
- Los Angeles, California
- Onsite
- full time
- $138k–$197k/year
- Posted today
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About the role
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
Learn more about benefits at Google
[https://www.google.com/about/careers/applications/benefits/].
RESPONSIBILITIES:
* 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.
Skills
- Product Management
- Data Analytics
- Ads Measurement
- Generative AI
- LLM Interfaces
- Marketing Mix Modeling
- Product Roadmap
- Cross-functional Collaboration
- Technical Presentations
- Software Development
- Machine Learning
- Product Strategy
- Market Analysis
- Google Ads
- Google Analytics
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