Director of Product Management, Hyperforce

The Hyperforce team is seeking a Product Management leader with a strong builder mindset for building an AI-first compute infrastructure platform. The role requires technical expertise in infrastructure and platform-as-a-service (IaaS/PaaS), API management, and passion for delivering rich user experiences. The role will focus on building platform technologies for high-availability and scale.

- As a product leader, develop vision, strategy and multi-release roadmap for the compute infrastructure platform with emphasis for AI and data workloads.

- Own improving platform maturity for new AI and data application patterns and across critical platform capabilities such as availability, and scalability.

- Innovate at infrastructure and platform level by deeply understanding user needs and product fit while leveraging the knowledge of Infrastructure/platform-as-a-service and open-source technologies.

- Partner with Salesforce product clouds so that all services are available on Hyperforce. Including gap analysis on requirements

- Engage with customers and partners to deliver roadmap updates, get product feedback, and identify additional challenges and opportunities.

- Represent Salesforce as a domain and product expert at customer interactions, industry and corporate events, and through community sites and social media.

- 12+ years minimum of Product Management, Solution Architect or similar experience.

- Specialization in user facing products, enterprise scale infrastructure/platform-as-a-service (IaaS/PaaS) platform, high-availability architecture, application networking and API management.

- Proficiency and growth mindset in leveraging data analytics tools (eg. SQL) to query for product analytics and applying AI tools (eg. Claude Code) to build product prototypes.

- Passion for creating seamless user experience through value-chain and user journey mapping.

- Demonstrated experience in building product prototypes, writing strategy and translating customer needs into product capabilities.

- Direct experience of working on and leveraging AWS, Google Cloud and Azure services.

- A technical degree required, preferably in Software Engineering.

- Experience with cloud native technologies such as Kubernetes and Service Mesh.

- Background in applying AI and AIOps to develop strategic platform capabilities.

The typical base salary range for this position is $197,300 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $237,700 - $344,700 annually.