Senior Product Manager, Images Feed Quality, Google Search
Mountain View, California, United States · On-site
$192k–$278k/yr
Senior$26M raised
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 la…
Mountain View, California, United States · On-site
$174k–$252k/yr
Senior$26M raised
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DIRECTOR OF PRODUCT, ECOSYSTEM AND INTEGRATIONS HYBRID (3 DAYS/WEEK) MOUNTAIN VIEW, CA EGNYTE YOUR CAREER. SPARK YOUR PASSION. Egnyte is a place where we spark opportunities for amazing people. We believe that every role…
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Mountain View, California, United States · On-site
$120k–$200k/yr
Mid level
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Skills: Full-stack development, React, TypeScript, API design, Data modeling
Mountain View, California, United States · On-site
$140k–$200k/yr
Mid level
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Skills: Backend engineering, API design, Data modeling, Distributed systems, Databases
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Mountain View, California, United States · On-site
$134k–$199k/yr
Senior+$67M raised
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Mountain View, California, United States · On-site
Senior$4.1B raised
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Mountain View, California, United States · Hybrid
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Mountain View, California, United States · On-site
$147k–$210k/yr
Mid level$26M raised
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Skills: Software development, Machine learning infrastructure, Model deployment, Model evaluation, Data processing
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Mountain View, California, United States · On-site
$174k–$252k/yr
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Skills: Machine learning, Deep learning, Foundation models, Generative AI, Python
Mountain View, California, United States · On-site
$147k–$210k/yr
Mid level$26M raised
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Financial Analyst II, Laptop, Tablets and Enterprise
Mountain View, California, United States · Hybrid
$116k–$166k/yr
Mid level$26M raised
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Mountain View, California, United States · On-site
$141k–$205k/yr
Senior$26M raised
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Mountain View, California, United States · Remote OK
$212k–$265k/yr
Senior+$459M raised
About Coursera + Udemy Coursera and Udemy are now one company, bringing together two mission-driven brands to create the world’s most powerful platform for turning learning into progress. Together, we help more than 300 …
Mountain View, California, United States · On-site
$300k/yr
Senior$950M raised
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🚨 HIRING: Senior / Staff Full Stack Engineer – AI 🤖 📍 Location: Mountain View, CA – 3 Days Hybrid ⏰ Interview Panel Availability: 7 AM – 12 Noon CST 🎯 Experience: 8+ Years We are looking for a Senior/Staff Full Stack…
Skills: React, TypeScript, Python, Go, Java
Senior Product Manager, Images Feed Quality, Google Search
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$192k–$278k/yr
Full-time
bachelor degree, postgraduate degree
Bonus, Equity, Health Insurance
Posted 26d ago
~40 hrs/week
Responsibilities
You will lead the quality and personalization roadmap for the Google Images feed by bridging the gap between AI research and production at scale. This involves developing evaluation frameworks, optimizing recommendation systems, and collaborating cross-functionally to deliver a seamless user experience.
Requirements
Candidates must have at least 8 years of product management experience, including 3 years taking technical products from conception to launch. A strong technical background in recommendation systems, ranking architectures, and machine learning is required.
Full job description
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 software engineering for recommendation systems or feed ranking architectures.
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.
5 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).
4 years of experience in a role preparing and delivering technical presentations to senior leadership.
Experience translating advanced machine learning research into highly stable, consumer-facing feeds and recommendation products at global scale.
Deep technical understanding of retrieval, ranking techniques, value modeling, and the nuances of large-scale recommendation systems.
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.
Building on the foundation of Google Images, the world's third-largest search engine, we see a tremendous opportunity to evolve beyond traditional search to serve the next generation of users. More than just answering questions, we are embarking on a mission to help users explore through visual discovery.
In this technical role, you will require deep expertise across the AI stack, focusing on driving the quality and personalization of the Images Feed. You will bridge the gap between frontier AI research and production at scale, ensuring that the feed seamlessly brings together world knowledge with personal context to deliver a highly inspiring user experience. Your work will provide the essential grounding, retrieval strategies, and evaluation frameworks required to power the next-generation of visual inspiration experiences for millions of 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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Oversee secure, privacy-compliant systems that dynamically surface relevant user data to ground and personalize AI responses.
Lead the "Quality Hillclimbing" roadmap, balancing high-quality personalization metrics against feed load latency to ensure optimal speed.
Develop context-specific autoraters and evaluation frameworks to continuously measure AI accuracy, helpfulness, and performance.
Define intelligence strategies that leverage search interactions to build a continuously evolving, consistent understanding of user preferences.
Collaborate on technical strategies utilizing state-of-the-art modeling techniques (e.g., Gemembed, Generative Retrieval) to advance the recommendation stack and feed growth.
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
Check out our career opportunities at goo.gle/3DLEokh
Offices: 1600 Amphitheatre Parkway, Mountain View, CA 94043, US · 111 8th Ave, New York, NY 10011, US · Claude Debussylaan 34, Amsterdam, North Holland 1082 MD, NL · Avenida Brigadeiro Faria Lima, 3477, Sao Paulo, SP 04538-133, BR · 51 Breithaupt St, Kitchener, ON N2H 5G5, CA
How much do Data & Analytics jobs in Mountain View, CA pay?
Based on 633 listings with disclosed salaries, most data & analytics jobs in Mountain View, CA pay between $140k–$293k per year. Individual offers vary with seniority, company size, and specialization.
How many Data & Analytics jobs are open in Mountain View, CA right now?
There are currently 700 open data & analytics positions in Mountain View, CA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Mountain View, CA?
Companies currently hiring include Google, LinkedIn, NewsBreak, Databricks, ServiceNow, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Mountain View, CA?
Yes — 208 of the 700 open data & analytics positions offer remote or hybrid work (26 remote, 182 hybrid).
How do I apply for Data & Analytics jobs in Mountain View, CA?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.