Software Jobs in Mountain View, CA (Now Hiring) — 1,096 open — Page 17

Minimum qualifications:

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

Preferred qualifications:

• 5 years of experience with ranking and relevance systems at scale.
• Experience with A/B testing and experimentation.
• Deep experience with data and experimentation and deduce product nuanced insights.
• Strong understanding of AI/machine learning, information retrieval, and statistical concepts.
• Familiarity with large-scale AI/ML, deep learning models, LLMs, data analysis.
• Ability to work with executive leadership to drive alignment across business areas, and understand technical algorithms.

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.

As a Senior Product Manager for YouTube Ads Quality, you will lead the goals and execution for how we match the right ad to the right user at the right time. You will own the core machine learning and ranking strategies that dictate ad delivery across YouTube’s surfaces (In-Stream, Shorts, Feed). In this role, you will partner closely with executive Engineers, Data Scientists, and cross-functional leaders to evolve our auction dynamics and recommendation models.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 YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities:

• Define and own the product goals, strategy, and roadmap for YouTube’s User Quality ranking systems to enhance user satisfaction and achieve business goals.
• Partner deeply with Engineering and Data Science teams to conceptualize, develop, and refine ranking models, auction dynamics, and recommendation algorithms.
• Lead complex technical execution to build and deploy next-generation machine learning and predictive engagement models across YouTube surfaces.
  
• Drive metrics and experimentation by defining key performance indicators and designing A/B tests to evaluate changes and guide data-driven decisions.
  
• Collaborate cross-functionally and communicate complex ranking concepts, product plans, and experiment impacts to leadership and partner teams.