Senior Product Manager, Images Feed Quality, Google Search
Primary stack
Nice to have's
Job description
About the Position
Senior Product Manager, Images Feed Quality, Google Search
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.
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.
Responsibilities
- 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.
Requirements
- 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.
- Experience in software engineering for recommendation systems or feed ranking architectures.
Nice to Have
- 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.
We Offer
- Competitive salary: $192,000 - $278,000 (USD) + 20% bonus target + equity + benefits
- Opportunity to work in one of the following locations: Mountain View, CA, USA; New York, NY, USA
- Comprehensive benefits package
About the Company
Google LLC started as a PhD project by Larry Page and Sergey Brin in 1998 at Stanford University. Google LLC has blossomed into a behemoth of the tech world. With its mission to organize the world's information and make it universally accessible and useful, Google’s search engine is its crown jewel. Online advertising, via AdWords and AdSense, forms the backbone of its financial success. Beyond search, Google has ventured into cloud computing, hardware, and software development. The innovative PageRank algorithm revolutionized search engine technology, and surviving the dot-com bubble burst and going public in 2004 spurred its meteoric growth. Acquiring YouTube stands as a testament to Google’s strategic expansion.
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.
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Recruitment & HR Tech,AI & Automation,Fintech,E-learning,Healthcare,E-commerce
About the Company MindPal is a project initiated by Sky Gate Company, designed to address challenges in IT recruitment by connecting companies with candidates through a unique platform. The company focuses on delivering talent, technology, and traction to clients, having successfully partnered with over 250 businesses globally. MindPal specializes in AI-driven digital transformation, offering scalable solutions for startups and enterprises across various industries. Products, Services & Tech Stack Core Solutions AI Agents & Assistants: Intelligent AI agents that automate tasks, manage workflows, and provide real-time support. MVP Development: Transforming business ideas into working products for quick testing and validation. AI Consulting: Expert guidance on AI strategy and implementation. Chatbots: Custom conversational bots for user engagement and support. SaaS Solutions: Scalable cloud-based products tailored to business needs. AI Automation: Tools for optimizing workflows and increasing operational efficiency. Technologies & Frameworks Ruby on Rails React TypeScript Docker Heroku Django Angular Python VOIP Jenkins Project Scope & Target Clients Client Base Verticals: Fintech, e-learning, healthcare, e-commerce. Client Types: Startups and established Fortune 500 corporations. Engineering Scale Scope: Full-stack digital product consulting and partnership. Complexity: Projects range from MVP development to full-scale SaaS solutions.
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