Job summary
Job post source
This job is directly from Google DeepMind
Job overview
The Technical Program Manager, GenAI at Google DeepMind leads coordination and delivery of generative AI model programs, driving advancements in Gemini's reasoning capabilities to support the company's AI mission.
Responsibilities and impact
The role involves scoping, planning, and delivering technical programs for model development, managing risks and dependencies, collaborating with cross-functional teams including researchers and engineers, and ensuring smooth information flow and continuous improvement in program execution.
Compensation and benefits
The US base salary range is $183,000 - $271,000 plus bonus and benefits, with specific salary details provided during the hiring process.
Experience and skills
Candidates should have a technical degree or advanced knowledge, experience in program delivery, strong understanding of language models and software engineering, excellent communication skills, and the ability to work in fast-paced, dynamic environments; a Computer Science degree and AI/ML experience are advantageous.
Work environment and culture
Google DeepMind fosters a collaborative and creative environment focused on responsible, groundbreaking AI progress, valuing diversity and inclusion with a commitment to equal employment opportunities.
Company information
Google DeepMind is a leading AI research organization focused on advancing artificial intelligence for public benefit and scientific discovery, emphasizing safety and ethics.
Team overview
The candidate will join a cross-functional team including researchers, engineers, technical program managers, and product managers working on frontier AI model capabilities.
Application process
Applications must be submitted by 12pm PST Thursday 24th July 2025, with employment offers conditional on background checks; further application details are provided by the recruiter.
Unique job features
The role offers the opportunity to work on cutting-edge generative AI models like Gemini, applying novel research techniques in a fast-evolving environment at a pioneering AI research firm.
Company overview
Google DeepMind, a subsidiary of Alphabet Inc., specializes in artificial intelligence (AI) research and its application to real-world problems. They generate revenue primarily through collaborations with other Alphabet companies, such as Google, by integrating AI solutions to enhance products and services. DeepMind gained prominence with its development of AlphaGo, an AI program that defeated a world champion Go player in 2016, marking a significant milestone in AI capabilities. The company continues to push the boundaries of AI, focusing on healthcare, energy efficiency, and other sectors to create innovative solutions.
How to land this job
Position your resume to highlight your expertise in technical program management within AI or machine learning environments, emphasizing experience in coordinating complex projects and delivering technical programs end-to-end.
Emphasize your ability to work cross-functionally with researchers, engineers, and product managers, showcasing skills in risk management, stakeholder communication, and driving continuous improvement in fast-paced, ambiguous settings.
Apply through multiple channels including Google DeepMind's official careers page, LinkedIn, and specialized AI job boards to maximize your application visibility and reach.
Connect with current Technical Program Managers and team members at Google DeepMind on LinkedIn; use ice breakers like commenting on their recent work with Gemini models or expressing enthusiasm for advancing generative AI research to initiate conversations.
Optimize your resume for ATS by incorporating keywords from the job description such as 'program management methodologies,' 'risk management,' 'generative AI,' 'model development,' 'cross-functional collaboration,' and 'technical strategy' to ensure it passes automated screenings.
Leverage Jennie Johnson's Power Apply feature to automate tailored applications, identify the best application channels, and discover relevant LinkedIn contacts, allowing you to focus your time on preparing for interviews and expanding your domain knowledge.
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