Product Manager, Gemini App, Very Small Businesses

Sorry, this job was removed at 06:22 p.m. (UTC) on Friday, Mar 27, 2026
4 Locations
In-Office
Artificial Intelligence
The Role
Snapshot

As a Product Manager for Gemini App - Very Small Businesses, you will lead a 0→1 effort to architect an "operating system" for millions of micro-businesses and solopreneurs. This IC role is focused on evolving AI from a passive chatbot into a proactive "fractional COO" that provides small businesses with the professional leverage typically reserved for large corporations. You will sit at the intersection of frontier AI research and massive platform scale to deploy agentic workflows that solve tangible, high-stakes business problems within the Google ecosystem.

About Us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The Role

Empowering the world’s micro-businesses and solopreneurs to benefit from AI is a core part of our mission. In this role, you will be architecting the "operating system" for millions of micro-businesses, giving solopreneurs the professional leverage once reserved only for large corporations. You will sit at the unique intersection of frontier research and massive platform scale, allowing you to deploy agentic workflows that solve tangible, high-stakes business problems within the Google ecosystem.

This is a 0→1 effort where your strategy defines how AI evolves from a passive chatbot into a proactive "fractional COO" for the global economy.

Key responsibilities:

  • Shape the VSB Product Vision: Define and build the key product solutions that enable solopreneurs and micro-businesses to leverage Gemini as a proactive "Operations Manager".
  • Architect Business Agents: Responsible for defining and delivering specialized experiences and agent building blocks that orchestrate models and tools to handle multi-step business tasks—from lead nurturing to financial reporting.
  • Bridge AI and Utility: Design intuitive, low-friction interfaces that allow non-technical business owners to unlock high-value AI capabilities instantly, without needing to master prompt engineering.
  • Drive Ecosystem Integration: Ensure Gemini works seamlessly across the tools VSBs rely on (e.g., Gmail, Calendar, and third-party applications) while maintaining enterprise-grade security and privacy.
About You

In order to set you up for success as a Product Manager for GeminiApp at DeepMind,  we look for the following skills and experience:

  • 6+ years of progressive experience in product management, including at least 5 years in senior roles leading consumer products
  • Track record of building consumer products with millions of users that people genuinely love
  • Experience with AI or ML-powered products and a perspective on how AI will change consumer software
  • Comfort with ambiguity and the ability to define product direction in a fast-moving, novel space
  • User-obsessed mindset with a habit of talking to users directly and frequently

In addition, the following would be an advantage: 

  • VSB Domain Expertise: Proven experience building for VSBs, understanding their time-poverty and the need for immediate, tangible ROI.
  • Technical Depth: Strong grasp of AI model limitations, agentic reasoning, and the tool-calling stack required to automate complex professional workflows.
  • 0→1 Execution: A track record of moving from concept to launch on products where product-market fit is still emerging, requiring rapid iteration.
  • Communication: Excellent skills in translating complex AI research into clear business value and influencing cross-functional teams

The US base salary range for this full-time position is between $227,000 - $320,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.


  

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The Company
HQ: London
1,218 Employees
Year Founded: 2010

What We Do

We’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. Our long term aim is to solve intelligence, developing more general and capable problem-solving systems, known as artificial general intelligence (AGI). Guided by safety and ethics, this invention could help society find answers to some of the world’s most pressing and fundamental scientific challenges. We have a track record of breakthroughs in fundamental AI research, published in journals like Nature, Science, and more.Our programs have learned to diagnose eye diseases as effectively as the world’s top doctors, to save 30% of the energy used to keep data centres cool, and to predict the complex 3D shapes of proteins - which could one day transform how drugs are invented.

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