Multimodal Generation Model Launch TPgM

Snapshot

Multimodal generation is one the key capabilities of Google DeepMind’s generative AI models. Several of these technologies, including Veo (video), Imagen (image), and Lyria (music) have made groundbreaking impact in the world of generative modelling, contributing to numerous products and features at the intersection of creativity, entertainment and multimedia communication.  As a Launch TPgM in the Multimodal Generation team, you will be at the heart of these developments, driving the complex release processes and working with cross-functional partners to ensure smooth and rapid delivery of models. 

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 Multimodal Generation Launches, you will be responsible for release planning and coordination of models, managing launch roadmaps and timelines in partnership with Product Managers, handover of models to cross-functional partners, internal governance documentation and coordinating external-facing content for marketing. This role requires a strong technical background in AI, excellent program management skills, and the ability to navigate the challenges of large-scale research and engineering efforts. You will work closely with research scientists, engineers, product managers, program managers and other cross-functional teams to solve problems around delivering and deploying massive models. Your work will be instrumental in powering future advancements in multimodal generative modelling. 

Key responsibilities

• Program Leadership & Strategy: Lead complex and ambiguous programs focusing on execution and delivery. Partner with research and engineering leads to translate strategic goals into well-defined program plans, timelines, and success metrics.

• Large-Scale Execution: Drive the end-to-end execution of large-scale initiatives, including deployment planning & coordination, infrastructure readiness, safety testing, and model evaluation processes.

• Cross-Functional Integration: Act as a key liaison between the Multimodal Generation team and other critical Google DeepMind projects, including teams working on Gemini, AI Platform, Trust & Safety, Marketing & Communications, Legal and more. Ensure seamless integration and alignment.

• Risk & Dependency Management: Proactively identify, assess, and mitigate risks and dependencies associated with large-scale model deployment and launches. 

• Process Improvement & Scalability: Develop and implement efficient processes and systems to manage deployment and launches at scale. Identify opportunities for automation and tooling to improve research and engineering velocity.

• Stakeholder Management: Build strong relationships and provide clear, consistent communication to stakeholders across research, engineering, and leadership.

• Technical Due Diligence: Perform technical due diligence to understand engineering scope, define milestones, and anticipate resource needs for ambitious research projects.

• Team Support: Provide proactive support to the team, and act as a mentor and point of escalation. Support rapid team and project growth and build processes to handle increasing numbers of contributors and project sub areas.

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 a technical field (Computer Science, Engineering, or related), or equivalent practical experience. A technical background is essential for navigating the complexities of this role.

• 5+ years of experience as a Technical Program Manager, Project Manager, or in a similar role, with a proven ability to lead and deliver complex, large-scale technical programs.

• Strong understanding of Artificial Intelligence (AI) principles, particularly in areas related to generative models, or large-scale model training.

• Experience working in a fast-paced, ambiguous, and research-driven environment.

• Proven ability to manage complex projects with multiple stakeholders and dependencies, demonstrating resourcefulness and creativity in solving novel challenges.

• Excellent communication, interpersonal, and influencing skills. Able to distill complex technical ideas for broad audiences, including leadership.

• Demonstrated ability to improve processes, workflows, and governance models to enhance efficiency within development teams.

• Ability to think strategically while also managing detailed execution plans.

In addition, the following would be an advantage:

• Experience with training massive AI models or managing large-scale compute resources.

• Experience working with multimodal generative models or multimodal datasets.

• Experience with projects related to media technology or interactive entertainment.

• Familiarity with computing platforms (e.g., Google Cloud Platform).

• 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 $183,000 USD - 271,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: 12pm PT, Friday August 22, 2025

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