Product Manager, Gemini App, DeepMind

Product Manager, Gemini App, DeepMind - Google Careers

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Product Manager, Gemini App, DeepMind

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corporate_fareDeepMindplaceMountain View, CA, USA; New York, NY, USA

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XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.

Minimum qualifications:

• Bachelor"s degree or equivalent practical experience.
• 5 years of experience in product management or related technical role.
• 2 years of experience taking technical products from conception to launch.
• Experience working cross-functionally with engineering, UX/UI, legal, marketing, and other stakeholders to deliver products.
• Experience with advanced AI technologies, including Large Language Models (LLMs).

Preferred qualifications:

• Experience in designing, managing, and refining evaluation methods and success metrics for AI models and AI-powered products, converting performance insights into impactful product enhancements.
• Knowledge of user perspectives for AI products, with experience identifying pain points and translating user insights into refined and intuitive AI-powered user experiences.
• Ability to understand and predict emerging AI model capabilities and engage in credible, informed collaborations with technical teams.
• Ability to prepare and deliver compelling technical presentations to senior leadership, communicating product idea and strategy.

About the job

In this role, you will define and lead the product idea for how users interact with AI, strategically integrating AI capabilities amidst an evolving technological landscape. By leveraging large language models (LLMs), you will contribute to the advancement of generative AI technologies, enabling them to serve as intelligent assistants, researchers, collaborators, and coaches.

Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

The US base salary range for this full-time position is $218,000-$237,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Define and lead a clear product idea, roadmap, and strategic plan for extending LLM capabilities via tools, integrating emerging AI technologies, and ensuring alignment with organizational goals and evolving user needs.
• Develop and prioritize product requirements by synthesizing user feedback, UX research, AI model performance metrics, market trends, and competitive analysis, clarifying ambiguities specific to AI"s evolving nature and generating insights from AI model behaviors to deliver impactful product improvements.
• Lead and influence cross-functional teams to design, implement, and launch innovative features, bridging AI"s technical complexity with organizational goals and user needs.
• Own and drive go-to-market strategies for new AI features and products, including strategic positioning, market understanding, and impactful messaging to ensure successful launch and sustained market relevance.
• Maintain knowledge in advanced AI (e.g., LLMs, Diffusion Models, RAG), and predict emerging model capabilities.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google"s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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