Product Manager, Cyber Security, DeepMind

In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.

In this role, you will help shape the future of Google Cloud’s next-generation AI infrastructure, architecting high-performance Machine Learning silicon designed to power hyperscale AI inference. You will have an opportunity to drive accelerator technology that powers Generative AI models, large language models (LLMs), and emerging agentic workloads where throughput, latency, memory bandwidth, and energy efficiency are mission-critical. You will be part of a silicon architecture team pushing the boundaries of custom computing. Leveraging your deep expertise in hardware-software co-design, machine learning algorithms, and computer architecture, you will define and optimize custom compute engines and memory hierarchies that accelerate the world's most advanced AI models across Google Cloud datacenters. The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Responsibilities

• Define product outlook, roadmap, and success metrics for high-impact GDM research initiatives, translating complex innovation into enterprise and commercial solutions.

• Lead the end-to-end product lifecycle from incubation to launch, collaborating cross-functionally with GDM and Cloud teams to define opportunities, requirements, and priorities.

• Secure leadership buy-in and cross-functional alignment by converting product strategy and articulating the strategic business and societal impact of your portfolio.

• Drive product delivery by mediating challenges, optimizing resource allocation, and harmonizing processes to track performance and scale product quality.

• Act as the primary subject matter expert for your domain, providing decisive guidance to internal teams and external partners to ensure cohesive and responsible product execution.

Qualifications Minimum qualifications:

• Bachelor’s degree in Computer Science, Life Sciences, Bioengineering, a related quantitative/technical field, or equivalent practical experience.

• 8 years of experience in product management, technical product management, or software engineering, including leading products through the full development lifecycle.

• 3 years of experience leading cross-functional technical projects from concept through production launch, partnering across engineering, research, or external stakeholders.

• Experience leading any one production AI/LLM product through lifecycle evaluation, testing, or benchmark deployment.

Preferred qualifications:

• Experience directly engaging enterprise, government, or academic users to translate domain challenges into product requirements.

• Experience designing or deploying multi-agent systems, LLM-based agents, or autonomous multi-step reasoning frameworks in production.

• Track record of building self-improving quality frameworks or automated meta-agent orchestration models.