Job description

As the Senior Director of Product Management for Model Services & Consumer Verticals, you will provide overall product leadership for delivering DeepMind’s (GDM) models and services to internal customers like the Gemini app, YouTube, Search, Ads, Android, Shopping, etc. Your mission is to deliver services and improve our underlying models to power the next generation of consumer experiences across our products. In this role, you will lead a senior team of 25+ PMs tasked with building the platforms, services, and model improvements that drive recommendations, personalization, and interactive user experiences across Google’s consumer ecosystem. You will manage a highly scaled product footprint, navigating a complex, highly dispersed engineering partner ecosystem to support different verticals including education, music, shopping, advertising, and consumer finance. 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 diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $420000 - $467000 (USD) + 40% bonus target + equity + benefits Learn more about benefits at Google . • Own the end-to-end product roadmap for consumer product model services, prioritizing features, capabilities, and vertical capacities based on technical feasibility, market analysis, and Google use cases. • Define and convert the long-term product vision for model services and the vertical and strategy across Google's consumer ecosystem. • Define and track key product metrics, utilizing data-driven insights to evaluate model performance in real-world consumer interactions and user journeys to inform future research and model improvements. • Build and nurture strategic partnerships between the core GDM research team and internal model customers across major consumer apps to rapidly scale breakthrough model capabilities into production. • Bachelor's degree in Computer Science, Engineering, a related technical field, or equivalent practical experience. • 15 years of tech industry experience. • 12 years of experience in product management. • 5 years of experience in an executive leadership role focused on AI/Foundation models, cloud services, or technical enterprise software platforms. Minimum qualifications: • Bachelor's degree in Computer Science, Engineering, a related technical field, or equivalent practical experience. • 15 years of tech industry experience. • 12 years of experience in product management. • 5 years of experience in an executive leadership role focused on AI/Foundation models, cloud services, or technical enterprise software platforms. Preferred qualifications: • Deep understanding of LLMs, APIs, machine learning frameworks, and the lifecycle of fine-tuning models for vertical applications. • Exceptional leadership and communication skills, with a mastery of translating complex technical breakthroughs into clear, actionable narratives for senior leadership, modeling counterparts, and team members. • Strong analytical and problem-solving skills, with a data-driven approach to product decisions and model evaluation. • Proven track record of building and managing large product organizations within a highly matrixed, dispersed engineering ecosystem.

Requirements

Must-haves

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Learn more about benefits at Google .
Own the end-to-end product roadmap for consumer product model services, prioritizing features, capabilities, and vertical capacities based on technical feasibility, market analysis, and Google use cases.
Define and convert the long-term product vision for model services and the vertical and strategy across Google's consumer ecosystem.
Define and track key product metrics, utilizing data-driven insights to evaluate model performance in real-world consumer interactions and user journeys to inform future research and model improvements.
Build and nurture strategic partnerships between the core GDM research team and internal model customers across major consumer apps to rapidly scale breakthrough model capabilities into production.
Bachelor's degree in Computer Science, Engineering, a related technical
field, or equivalent practical experience.
15 years of tech industry experience.
12 years of experience in product management.
5 years of experience in an executive leadership role focused on
AI/Foundation models, cloud services, or technical enterprise software
Bachelor's degree in Computer Science, Engineering, a related technical
field, or equivalent practical experience.
15 years of tech industry experience.
12 years of experience in product management.
5 years of experience in an executive leadership role focused on
AI/Foundation models, cloud services, or technical enterprise software

Nice-to-haves

US: $420000 - $467000 (USD) + 40% bonus target + equity + benefits
Deep understanding of LLMs, APIs, machine learning frameworks, and the lifecycle of fine-tuning models for vertical applications.
Exceptional leadership and communication skills, with a mastery of translating complex technical breakthroughs into clear, actionable narratives for senior leadership, modeling counterparts, and team members.
Strong analytical and problem-solving skills, with a data-driven approach to product decisions and model evaluation.
Proven track record of building and managing large product organizations within a highly matrixed, dispersed engineering ecosystem.

Application prep

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Keywords to mirror

aimachine learning

Platform: google
Effort: medium

Benefits

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