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Salary
≈ $191k – $394k per year (Estimated)
Location
In office (Mountain View)
Seniority
Staff · 10+ years exp

First seen by Alion on Sep 25, 2026.

Overview
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Impact
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Google DeepMind is the artificial intelligence research and engineering division of Alphabet, formed in 2023 by merging the London laboratory founded in 2010 with the Google Brain team. It builds frontier foundation models such as the Gemini family, generative media systems including Veo and Imagen, and scientific tools like AlphaFold, whose protein structure predictions earned a share of the 2024 Nobel Prize in Chemistry. The unit pairs long-horizon research on reinforcement learning and general intelligence with product delivery across Google Search, Workspace, Android and Google Cloud.

About the job

Within DeepMind, Kaggle operates as an independent brand with a vital mission, to help the world understand what works (and what doesn't) in AI. We empower a community of researchers, developers, and frontier labs by providing the ultimate arena to learn, build, and evaluate the next generation of AI systems.

Kaggle is at an inflection point. We’re evolving from static ML competitions to becoming the trusted industry standard for public AI evaluation with community at its heart.

In this role, you will be at the forefront of this transformation. You will lead the strategy and execution for ambitious campaigns that shift perceptions of Kaggle and massively amplify our mission of discovering "what works" in frontier AI to benefit humanity. You will own how and where we tell the story of Kaggle’s brand, product, and community to the world with authenticity and technical excellence.

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: $300000 - $333000 (USD) + 25% bonus target

Learn more about benefits at Google.

Responsibilities

  • Define and execute a holistic strategy for Kaggle's public presence-including brand, content, community, and go-to-market-in close partnership with Kaggle's leadership and DeepMind stakeholders.
  • Build a content engine that establishes Kaggle as the authoritative voice on AI evaluation, spanning blogs, social media, video, newsletters, and events.
  • Own the GTM playbooks for Kaggle's key moments, such as benchmark launches, competition announcements, model releases, and product launches.
  • Define how Kaggle earns trust and builds relationships with the AI research community, developer ecosystem, and frontier labs.
  • Oversee daily marketing operations, including email programs, social channel management, campaign execution, and analytics, while managing external vendors and agencies.

Qualifications

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 10 years of experience in developer marketing, developer relations, or a similar field.
  • 5 years of experience managing and leading teams, including cross-functional collaboration and vendor/agency management.
  • Experience leading go-to-market strategies for developer or researcher-facing tools, APIs, or platform ecosystems.

Preferred qualifications:

  • Exceptional storytelling ability with experience translating technical concepts into compelling narratives for researchers and developers.
  • Expertise in the modern AI ecosystem, including an opinionated understanding of LLMs, agentic frameworks, and model evaluation methodologies.
  • Strong existing networks within AI labs, research organizations, or open-source AI communities.
  • Ability to operate in a fluid, agile environment.
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