GTM Operations Lead, GeminiApp, DeepMind

Mountain View, CA, US Until 9/20/2026 11+ years exp First posted July 22, 2026 Last posted July 22, 2026
Job description

About the Job

The Gemini App team is building the future of conversational AI. Our goal is to bring helpful, high-quality, and experiences to users around the world. As we continue to expand our reach, we need a leader to drive our Go-to-Market efforts.

As the Go-To-Market (GTM) Operations Lead for the Gemini App, you will be responsible for collaborating on our growth strategy and executing large-scale initiatives to bring the app to more users. You will use the framework for growth to guide resource allocation across multiple channels, including partnerships, marketing, and product integrations. This is a highly cross-functional role that requires a blend of thinking, business acumen, and strong execution skills.

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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $236000 - $257000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Develop and execute a comprehensive growth framework to drive Gemini App adoption across key markets and pillars, prioritizing key Go-to-Market levers like marketing, partnerships, and product integrations.
  • Make data-driven decisions on resource allocation (e.g., TPU compute) and collaborate with marketing teams to optimize funding across various channels and regions to maximize Return on Investment (ROI).
  • Evaluate, prioritize, and manage partnership opportunities (such as OEMs and carriers), working closely with Business Development teams to discuss optimal outcomes.
  • Lead the execution of major Go-to-Market initiatives, such as extended free trials or carrier partnerships, by coordinating with cross-functional and cross-product area teams.
  • Monitor post-launch progress, report key metrics to executive leadership, and collaborate with cross-functional teams on course correction or acceleration efforts as needed.

Qualifications

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 11 years of experience in management consulting, product management and strategy, or analytics in a technology company.
  • Experience working with and analyzing data, and managing multiple cross-functional programs or projects.

Preferred qualifications:

  • Advanced degree or equivalent practical experience.
  • Experience developing, instituting, and running product development processes at scale.
  • Proven ability to work with and present to leadership.
  • Strong collaboration skills, working with engineering, product management, UX, and other technical and non-technical teams.
About this role

Summary

Lead growth initiatives, manage partnerships, and optimize AI app go-to-market strategies.

Job title

GTM Operations Lead, GeminiApp, DeepMind

Experience level

11+ years

Minimum experience

11+ years exp

Industry

technology

Location requirements

Mountain View, CA; remote work not specified

Salary

$236k–$257k

Management role

No

Skills & keywords

Required skills

data analysisprogram managementcross-functional collaborationstrategy development

Preferred skills

product development processesleadership presentationAIpartnership management

Specializations

growth strategypartnershipsAIdata analysis
Locations

Structured locations inferred from the posting.

Mountain View, CA, USA

Work arrangement unknown City