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UX Research Operations Lead, GeminiApp, DeepMind

DeepMindMountain View, CA, USA

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 10 years of experience in Program Management, Operations, or a similar role supporting UX research, design, or product development teams.

Preferred qualifications:

  • Track record of standing up operational programs (like UXR democratization) from scratch in high-growth, fast-evolving technology organizations.

About the job

..

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 various learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

Responsibilities

  • Stand up and lead a research democratization program. Create the playbooks, templates, self-serve workflows, and guardrails that empower the broader UX, Product, and Engineering teams to connect with customers safely, ethically, and responsibly.
  • Manage the GeminiApp UXR budget, navigate complex procurement processes, and own relationships with external research vendors and tool providers.
  • Lead and mentor a small, high-performing team of contractors dedicated to participant recruitment, panel management, and operational support.
  • Design and scale new initiatives that lower the friction for the entire UX organization to get in front of customers, driving a deeply embedded culture of customer obsession.
  • Identify opportunities to leverage AI (including Gemini) to streamline the research life cycle—from automated scheduling and repository tagging to AI-driven synthesis and distribution of insights.

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