Director, Outbound Product Management, Cloud Computing

Google Cloud has been growing quickly and is leading the market in AI infra advancements and offerings. This is a unique role in shaping and leading a cohesive outbound strategy, go-to-market efforts, and customer relationships to establish Google as “The Cloud for AI”. In this role, you will be responsible for all outbound product management spanning AI Infra (GPUs and TPUs), standard compute, Kubernetes and orchestration products. You will work with senior product and marketing leadership on setting our messaging strategy, events and drive key outreach and customer growth campaigns.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge 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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $281000 - $392000 (USD) + 30% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Develop competitive positioning for Cloud Compute, AI infra, containers and orchestration.
• Develop effective partnerships across all compute engineering, product management, sales and marketing and understand their strategic priorities and infrastructure requirements.
• Synthesize portfolio-wide roadmaps and directions into a single, compelling narrative.
• Drive major analyst efforts such as Gartner MQ and Forrester Wave for infrastructure.
• Drive Google’s external messaging and develop industry recognized speakers within their organization.

Minimum qualifications:

• 15 years of work experience in the tech industry.
• 10 years of experience as a product management leader.
• Experience with Cloud Infrastructure/tooling, metrics, and analytics.

Preferred qualifications:

• Experience considering ambiguous and fast evolving internal environments and internal coordination across many teams.
• Demonstrated track record of technical innovation in Cloud, machine learning or related fields.
• Demonstrated track record of developing infrastructure or solutions within large, cross-functional engineering environments.
• Demonstrated track record of communicating technical subjects to senior company leaders as well as influencing company strategy and decisions.
• Track record of ideation and innovation of technology at scale and passion for development and the use of cross-platform shared code.