Revolution Medicines is a late-stage clinical oncology company developing novel targeted therapies for patients with RAS-addicted cancers. The company’s R&D pipeline comprises RAS(ON) inhibitors designed to suppress diverse oncogenic variants of RAS proteins. The company’s 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.
The Opportunity:
We are seeking a Manager, Knowledge Management & Technology Learning Enablement to support our enablement and training strategy for Digital, AI, and technology adoption across RevMed.
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 organization’s 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.
Knowledge Management and Content Governance
• 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.
Enterprise Content Sharing and Communications
• Own the process for publishing and sharing enablement content through enterprise channels, including RevNet 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.
AI Champion Network Operations and Use Case Curation
• 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.
Digital and AI Capability Building
• 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.
Onboarding and Learning Enablement
• 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.
Measurement and Continuous Improvement
• Conduct gap analyses to identify content duplication, missing knowledge assets, low-value materials, and opportunities to improve reuse.
• Gather feedback and usage insights to improve content quality, communication effectiveness, and learning impact.
• Track operational metrics related to content health, use case sharing, knowledge reuse, communications reach, and enablement effectiveness.
• Continuously improve the systems and processes that support knowledge flow, use case visibility, and enterprise learning.
Required Skills, Experience and Education:
This is not an engineering role. Candidates without required qualifications listed below are not encouraged to apply until requirements can be met.
• Bachelor’s degree or equivalent experience in information systems, business, learning and development, communications, life sciences, or a related field.
• 8+ years of relevant experience in knowledge management, learning enablement, content operations, change enablement, communications, or related areas.
• Experience managing structured content, knowledge assets, or learning materials in a technology, digital, or enterprise environment.
• Strong ability to organize, govern, and scale content across multiple sources and stakeholder groups.
• Successful measurable outcomes in training or organizational development supporting AI capability development.
• Demonstrated evidence of AI capability through work products including, but not limited to.
• ability to select appropriate tools and models depending on work needs, validating AI tool outputs, responsible AI usage.
• ability to identify practice opportunities to improve quality, speed, insight, or coordination and collaboration.
• uses digital tools in recurring work and improves workflows or deliverables.
• shares useful examples, explains what works and does not work, helps others adopt good habits.
• Experience translating ongoing activity, meetings, requests, or training outputs into reusable and shareable knowledge assets.
• Strong program coordination and operational management skills.
• Strong written and verbal communication skills with the ability to tailor content for technical and non-technical audiences.
• Ability to work cross-functionally, work in teams and in a matrices environment, and able to work independently, drive structure, and manage evolving priorities in a fast-moving environment.
Preferred Skills:
• Experience supporting Digital, AI, technology adoption, or enterprise enablement programs.
• Experience managing internal communications channels such as intranet platforms or newsletters.
• Experience curating and organizing use cases, success stories, or workflow examples for enterprise learning.
• Experience supporting community-based change networks, ambassador programs, or champion networks.
• Familiarity with knowledge and collaboration platforms such as SharePoint, Confluence, Simplrr, or LMS environments.
• Experience working in a regulated or life sciences environment.
• Exposure to adult learning, performance consulting, instructional design, or change enablement methods.
• Experience using data and feedback to improve enablement effectiveness and adoption outcomes.
#LI-Remote #LI-YG1
The base pay salary range for this full-time position for candidates working onsite at our headquarters in Redwood City, CA is listed below. The range displayed on each job posting is intended to be the base pay salary range for an individual working onsite in Redwood City and will be adjusted for the local market a candidate is based in. Our base pay salary ranges are determined by role, level, and location. Individual base pay salary is determined by multiple factors, including job-related skills, experience, market dynamics, and relevant education or training.
Please note that base pay salary range is one part of the overall total rewards program at RevMed, which includes competitive cash compensation, robust equity awards, strong benefits, and significant learning and development opportunities.
Revolution Medicines is an equal opportunity employer and prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital status, medical condition, and veteran status.
Revolution Medicines takes protection and security of personal data very seriously and respects your right to privacy while using our website and when contacting us by email or phone. We will only collect, process and use any personal data that you provide to us in accordance with our CCPA Notice and Privacy Policy. For additional information, please contact privacy@revmed.com.
Base Pay Salary Range $143,000—$178,000 USD
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Please note that Revolution Medicines does not extend unsolicited employment offers and will never ask candidates to provide financial information, purchase equipment, or pay fees as part of the hiring process. All legitimate communication from Revolution Medicines will come from an official @revmed.com email address.
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