Senior Product Manager, Compute
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in product management or related technical role.
- 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc).
- Experience developing or launching infrastructure products or technologies within networking, storage, compute hardware, databases, file systems, data analytics, cluster management, and other software infrastructure areas.
Preferred qualifications:
- Certifications in Cloud architecture and NVIDIA AI Infrastructure.
- Experience engaging with analyst firms (e.g., Gartner, Forrester, SemiAnalysis) or acting as a media spokesperson.
- Experience in a Cloud provider environment.
- Experience in creating and delivering technical and business content (e.g., pitch decks, whitepapers, engaged battlecards).
- Knowledge of the AI/ML ecosystem (Large Language Models, Generative AI, PyTorch/JAX/TensorFlow) and the underlying specialized compute (TPUs, NVIDIA GPUs).
- Ability to influence product roadmaps and engineering priorities based on engaged intelligence and customer adoption data.
About the job
At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect people every day.In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down problems into steps that drive product development.
One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.
As a Senior Outbound Product Manager, you will define, own, and execute the end-to-end Go-to-Market (GTM) strategy for a portfolio of advanced AI infrastructure hardware and software. You will serve as the lead for cross-product initiatives, wielding influence across multiple product areas to shape key business decisions. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the fastest experience possible.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
- Drive and execute comprehensive GTM strategies for new AI infrastructure products (e.g., next-generation Tensor Processing Units (TPUs), next-generation Graphics Processing Units (GPUs), Artificial intelligence/Machine Learning (AI/ML) software frameworks, AI/ML software products) from Pre-GA through General Availability (GA) and mass adoption.
- Own the positioning, messaging, and differentiation strategy for Google Cloud AI infrastructure against key performers.
- Create technical sales enablement content, training, and tools (e.g., engaged battlecards, pitch decks, whitepapers) to empower the global business and partner field.
- Partner with business and and product management to develop compelling, public-facing customer evidence, including customer case studies, technical blogs, testimonial videos, and presentations that clearly articulate customer return on investment and technical advantage.
- Conduct in-depth search analysis on engaged product roadmaps, pricing, and business models to identify GTM opportunities and threats.
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