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Senior Technical Program Manager, GeminiApp

Google DeepMind
G
apartmentGoogle DeepMindlocation_onMountain View, California, US; New York City, New York, USschedulePosted 10 days ago
Full-timeTechnical Program ManagerGemini Appmachine learninggenerative AI$183,000 - $271,000

About the Role

  • This is an exciting opportunity to join Google DeepMind and play a key role in shaping the future of the Gemini App! As a Technical Program Manager, you'll drive the strategy and execution of high-impact Gemini launches across web, mobile, and iOS platforms. You'll be working directly with our Engineering, Product and UX teams and other GDM units on cutting-edge language models to deliver groundbreaking solutions to a massive user base. This role offers hands-on project leadership, the opportunity to build innovative features, and make a real difference in how people interact with AI. Join our dynamic, fast-paced, and startup-like environment where you'll be constantly pushing the boundaries of what's possible with AI.
  • 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. This is a unique opportunity to join the GeminiApp team and contribute to shaping the future of the Gemini App.

Responsibilities

  • Lead and drive progress on critical feature launches across the Gemini App ecosystem.
  • Identify and manage cross-functional dependencies across teams and organizations.
  • Partner with engineering and product leads to shape product direction and ensure successful execution.
  • Drive engineering teams to identify, prioritize, and track tasks towards completion.
  • Proactively identify risks, develop mitigation plans, and implement solutions.
  • Communicate progress, risks, and plans to leadership regularly.
  • Identify and implement process improvements to enhance team efficiency.
  • Manage multiple time-sensitive projects concurrently.
  • Foster a collaborative and inclusive team culture that values innovation and excellence.
  • Advocate for the team's needs and ensure they have the resources and support to succeed.

Requirements

  • Strong technical background with demonstrated expertise in machine learning and generative AI.
  • Excellent program management and strategic planning skills to effectively drive projects forward.
  • Exceptional communication and influencing skills, with the ability to build strong relationships and drive alignment among diverse stakeholders.

Qualifications

  • Master’s degree in Computer Science or a related field, or equivalent practical experience.
  • 10+ years of experience in technical program management, with a proven track record of leading complex, cross-functional programs from inception to launch.
  • Experience working in a fast-paced, dynamic environment (e.g., startup) with a bias toward action.
  • Proven experience shipping successful products or features to consumers, showcasing a deep understanding of user needs and the ability to translate them into tangible results.

Benefits

US base salary range: $183,000 USD - 271,000 USD + bonus + equity + benefits.

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Google DeepMind
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Google DeepMind

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Program & Project ManagementMountain View

Frequently Asked Questions

How do I apply for this Senior Technical Program Manager, GeminiApp position?

Click the "Apply Now" button on this page to be directed to the application. You will be taken to the employer's application page.

Is this position remote?

This role is based in Mountain View, California, US; New York City, New York, US. Check the full description for remote or hybrid options.

What is the salary range?

The listed salary range for this position is $183,000 - $271,000. Final compensation may vary based on experience, qualifications, and location.

When was this job posted?

This position was posted 10 days ago. We recommend applying promptly as positions can fill quickly.

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