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Gemini Advanced Capabilities TPM

Mountain View, California, US

Snapshot

Google DeepMind's Gemini program is at the forefront of developing advanced AI models with groundbreaking capabilities. Our teams are continuously pushing the boundaries of what's possible. As a Technical Program Manager focused on Gemini's Advanced Capabilities, you will lead and drive complex technical projects, shaping the strategy and execution to deliver these cutting-edge model capabilities.

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

As a Technical Program Manager for Gemini Advanced Capabilities, you will be responsible for leading and driving complex and often ambiguous technical programs related to the development and improvement of core features and functionalities within the Gemini models. While your initial focus may be on areas such as long context, your scope could evolve to encompass other critical Gemini capabilities. You will work closely with research scientists, engineers, and other stakeholders to define program strategies, set goals and priorities, and perform technical due diligence to scope engineering efforts. This role requires a comprehensive technical understanding of machine learning and AI principles. You will be instrumental in building effective cross-functional teams, managing risks and interdependencies, and implementing continuous improvements to ensure successful delivery. 

Key responsibilities

  • Program Leadership & Strategy: Effectively scope, shape, and lead complex and ambiguous programs focused on advancing Gemini's core capabilities. Co-develop the program’s strategies, goals, priorities, and success metrics.
  • Technical Planning & Execution: Perform technical due diligence to evaluate engineering scope, establish milestones, define timeframes, and determine engineering resource needs for various Gemini features. Drive the execution of these plans.
  • Cross-Functional Team Building: Build and guide effective cross-functional program teams by fostering alignment on goals and direction, and ensuring efficient ways of working.
  • Risk & Dependency Management: Anticipate and manage risks, deliverables, and interdependencies with other related programs, teams, and functions across the Gemini ecosystem.
  • Process Improvement & Optimization: Proactively identify, own, and implement continuous improvement opportunities. Co-develop and optimize governance, decision-making structures, and information flow. This includes identifying and implementing automation or tooling to improve engineering velocity.
  • Stakeholder Management & Communication: Provide clear guidance and direction during times of uncertainty. Communicate effectively with stakeholders at all levels, ensuring alignment and managing expectations.
  • Technical Analysis & Tools: Develop or facilitate the development of technical analysis, tools, and processes across teams that support engineering execution, excellence, and velocity for advanced AI model development.
  • Documentation & Best Practices: Ensure comprehensive documentation of program plans, technical specifications, and processes. Promote and apply program management best practices.
  • Team Support: Provide proactive support to the team, identify and solve operational issues, and act as a mentor and SME where appropriate.

About you

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

  • Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
  • Experience leading and driving complex technical programs from initiation to completion.
  • Demonstrated ability to scope and shape ambiguous programs, define strategies, and set clear goals and priorities.
  • Comprehensive understanding of program management, tools, methodologies, and processes.
  • Comprehensive technical knowledge of machine learning and AI principles. Must possess a strong technical aptitude with the ability to understand complex systems, contribute to technical discussions, and identify opportunities for technical improvements like automation to support the team and increase engineering velocity.
  • Excellent communication, interpersonal, and influencing skills. Ability to guide alignment and provide clear direction.
  • Strong analytical and problem-solving skills, with a proactive approach to identifying and resolving issues.
  • Ability to thrive in a fast-paced, dynamic, and research-driven environment, navigating change effectively.
  • Proven ability to work effectively with cross-functional teams, fostering collaboration and shared objectives.

 

In addition, the following would be an advantage:

  • A strong understanding of large-scale models and challenges related to model capabilities.
  • Experience working on projects directly related to core capabilities of large language models (e.g., long context, reasoning, multimodality).
  • Experience performing technical due diligence and scoping engineering efforts.
  • Experience with scripting languages (e.g., Python) or developing automation tools.
  • Familiarity with computing platforms.
  • Experience developing tools or processes to improve engineering velocity.
  • Experience with different project management approaches and a demonstrated ability to adapt to evolving project requirements.
  •  

The US base salary range for this full-time position is between $156,000 - $229,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: 12pm GMT Friday 11th July 2025

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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