Senior Product Manager
- Mountain View, California
- Onsite
- full time
- $192k–$278k/year
- Posted today
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About the role
MINIMUM QUALIFICATIONS:
* Bachelor's degree or equivalent practical experience.
* 8 years of experience in product management or a 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).
* Experience in AI/ML, Large Language Models (LLMs), recommendation systems, or
search quality.
PREFERRED QUALIFICATIONS:
* Master's degree in a technology or business related field.
* 5 years of experience working cross-functionally with engineering, UX/UI,
sales finance, and other stakeholders.
* Experience analyzing evaluation data and query logs to synthesize quality
trends into product insights.
* Experience shipping products in rapidly evolving technical domains.
* Familiarity with model evaluation techniques, autoraters, or offline/online
experimentation.
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.
In Google Search, we're reimagining what it means to search for information, any
way and anywhere. To do that, we need to solve complex engineering challenges
and expand our infrastructure, while maintaining a universally accessible and
useful experience that people around the world rely on. In joining the Search
team, you'll have an opportunity to make an impact on billions of people
globally.
In this role, you will drive Personalization Quality across Search AI. You will
sit at the intersection of state-of-the-art AI models, user understanding, and
consumer experience, addressing the nuanced algorithmic trade-offs needed to
make AI responses feel naturally tailored, accurate, and trustworthy.In Google
Search, we're reimagining what it means to search for information – any way and
anywhere. To do that, we need to solve complex engineering challenges and expand
our infrastructure, while maintaining a universally accessible and useful
experience that people around the world rely on. In joining the Search team,
you'll have an opportunity to make an impact on billions of people
globally.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
[https://www.google.com/about/careers/applications/benefits/].
RESPONSIBILITIES:
* Define the multi-quarter product strategy and roadmap for Personalization
Quality across Search AI surfaces.
* Establish key quality metrics, design rigorous experiments, and develop
evaluation methodologies to guide data-driven modeling and product decisions.
* Conduct analysis of model responses, live experiments, and user feedback to
identify quality patterns and translate them into concrete product
requirements.
* Partner with Engineering and Research to guide model improvements, prompting
strategies, and orchestration logic that elevate response relevance and
helpfulness.
* Drive alignment and execution across Engineering, Research, UX, and
cross-functional partners while ensuring user trust, transparency, and
privacy are upheld across all features.
Skills
- Product Management
- AI/ML
- Large Language Models
- Recommendation Systems
- Search Quality
- Cross-functional Collaboration
- Data Analysis
- Product Strategy
- Roadmap Development
- Experimentation
- User Experience
- Technical Product Launch
- Model Evaluation
- Algorithmic Trade-offs
- Product Insights
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