Manager, Knowledge Management & Technology Enablement

Revolution Medicines is a late-stage clinical oncology company developing novel targeted therapies for patients with RAS-addicted cancers. The company7s R&D pipeline comprises RAS(ON) inhibitors designed to suppress diverse oncogenic variants of RAS proteins. The company7s RAS(ON) inhibitors daraxonrasib (RMC-6236), a RAS(ON) multi-selective inhibitor; elironrasib (RMC-6291), a RAS(ON) G12C-selective inhibitor; zoldonrasib (RMC-9805), a RAS(ON) G12D-selective inhibitor; and RMC-5127, a RAS(ON) G12V-selective inhibitor, are currently in clinical development.

As a new member of the Revolution Medicines team, you will join other outstanding professionals in a tireless commitment to patients with cancers harboring mutations in the RAS signaling pathway.

We are seeking a Manager, Knowledge Management & Technology Learning Enablement to support our enablement and training strategy for Digital, AI, and technology adoption across Rev Med.

This is an operations role focused on improving how Information Sciences and Digital Innovation (ISDI) turns knowledge into reusable enterprise assets, increases adoption of Digital and AI capabilities, and scales learning through structured content management, use case curation, enterprise communications, and network-based change enablement.

Business Outcome Enabled

This role enables faster and more consistent enterprise adoption of Digital and AI capabilities by creating a governed, scalable system for knowledge capture, training content management, use case curation, and enterprise collaboration.

Success in this role should improve:

• enterprise access to curated Digital and AI learning content
• reuse of internally created knowledge assets and training materials
• visibility and sharing of practical AI and technology use cases
• coordination and effectiveness of the AI Champion Network
• the organizations ability to scale learning, adoption, and change enablement without relying on fragmented one-off efforts

Metrics of success will be co-defined between this role and its Manager.

• Own the operational and knowledge management approach for Digital, AI, and technology learning content across Information Sciences.
• Manage both curated external/internal content and content created internally through training sessions, requests, enablement work, and ongoing learning activities.
• Define and maintain standards for content organization, taxonomy, tagging, metadata, version control, lifecycle management, and accessibility.
• Ensure materials are current, structured, searchable, and reusable across the enterprise.
• Establish lightweight governance that balances consistency, speed, and scalability.

• Own the process for publishing and sharing enablement content through enterprise channels, including Rev Net and ongoing newsletters.
• Translate ongoing learning activity, training outputs, and curated use cases into high-value enterprise-facing content.
• Ensure knowledge assets are packaged for practical consumption by different audiences across the organization.
• Partner with stakeholders to improve visibility, discoverability, and sustained use of enablement content.

• Manage the logistics and operating rhythm of the AI Champion Network as a change champion and enablement community.
• Coordinate meeting preparation, content flow, follow-ups, and operational support for AI Champion Network activities.
• Own the curation, tracking, organization, and sharing of use cases raised through AI Champion meetings.
• Maintain a structured view of escalated use cases, themes, priorities, and reuse opportunities.
• Coordinate closely with AI Champion members and internal AI Team for identifying use cases, while retaining ownership of use case curation, knowledge organization, and enterprise sharing.

• Support enterprise AI capability building by identifying, organizing, and sharing real use cases that help teams understand how Digital and AI tools can create business value.
• Curate examples, patterns, and learning content that improve adoption of priority AI and digital capabilities.
• Partner with Digital, Data, AI, and platform teams to support enablement for new tools, pilots, and enterprise capabilities.
• Apply adult learning and enablement principles to ensure content is practical, scalable, and useful in real workflows.

• Improve how IT onboarding and role-based learning content is structured, maintained, and delivered.
• Support learning journeys, training materials, and knowledge pathways tied to enterprise technologies and Digital / AI capabilities.
• Help ensure internally developed training content aligns with defined learning objectives and enablement standards.
• Support the creation of reusable assets from live and asynchronous learning activities.

• Conduct gap analyses to identify content duplication,…