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Revolution Medicines

Clinical-stage oncology company developing RAS inhibitors

Manager AI Learning Enablement & Coaching

Corporate & Technical TrainingConfirmed live in the last 24 hours
Full-timeRedwood City, CA, USA

About the Job

Requirements

  • At least 8 years of experience in training delivery, coaching, learning enablement, digital adoption, technology enablement, or a related field, including teaching or tutoring in technical fields.
  • Hands-on experience using AI tools in a professional environment.
  • Experience coaching or training employees on technology tools, digital workflows, or AI-enabled ways of working.
  • Strong facilitation skills for small-group sessions, workshops, office hours, or hands-on learning labs.
  • Ability to translate AI concepts into clear, practical examples for non-technical audiences.
  • Measurable successful outcomes in training or organizational development supporting AI capability development.
  • Experience creating or curating AI learning content, job aids, prompt libraries, or use-case playbooks.
  • Demonstrated success in a teaching, facilitation, tutoring, or coaching role.
  • Demonstrated evidence of AI capability through work products, including the ability to select appropriate tools and models for work needs, validate AI tool outputs, and use AI responsibly.
  • Ability to identify practice opportunities to improve quality, speed, insight, coordination, and collaboration.
  • Uses digital tools in recurring work and improves workflows or deliverables.
  • Shares useful examples, explains what works and does not work, and helps others adopt good habits.
  • Strong understanding of adult learning and applied skill-building approaches.
  • Strong written, verbal, and organizational skills.
  • Ability to collaborate and influence across all levels and functions.
  • Ability to work effectively with technical teams, business stakeholders, and learners with varying levels of AI fluency.

Responsibilities

  • Deliver small-group coaching sessions, office hours, practical learning labs, and role-based working sessions focused on approved AI tools.
  • Coach employees on applying AI to real work scenarios, including drafting, summarization, research support, analysis, ideation, workflow improvement, and productivity use cases.
  • Teach employees to assess where AI adds value, when human judgment is required, and how to validate AI-generated outputs before use.
  • Reinforce responsible-use expectations for AI in a regulated environment, including privacy, sensitivity, and appropriate-use boundaries.
  • Adapt sessions by role, function, skill level, and confidence level to improve relevance and practical uptake.
  • Translate real employee needs, coaching themes, and Catalyst Network insights into practical learning experiences.
  • Gather and refine examples of approved AI use across functions and convert them into reusable demonstrations, exercises, and guided practice.
  • Help employees connect enterprise use cases to their own workflows and identify immediate next-step applications.
  • Curate practical learning resources such as prompt examples, job aids, quick-reference guides, FAQs, recordings, and self-paced materials based on employee demand, and define and track effectiveness measures.
  • Identify recurring learning gaps and recommend or develop targeted materials to address them.
  • Partner with the Knowledge Management & Technology Enablement role to keep content organized, current, discoverable, and governed.
  • Capture feedback from sessions, office hours, surveys, and learner interactions to identify barriers, priority topics, and common questions.
  • Use feedback to improve coaching formats, content relevance, and training priorities.
  • Share recurring themes and recommendations with Digital & AI Enablement leadership to inform ongoing program refinement.
  • Execute AI learning activities in line with the established enablement strategy and roadmap.
  • Coordinate with subject matter experts and stakeholders to prepare relevant examples, materials, and demonstrations.
  • Track participation, feedback, session themes, and coaching outcomes.
  • Support onboarding by contributing approved-tool orientation, practical examples, and foundational AI fluency content for new hires.

Desired Qualifications

  • Experience with ChatGPT Enterprise, Microsoft Copilot, Microsoft 365, Teams, SharePoint, or similar enterprise tools.
  • Experience in biotech, pharmaceutical, life sciences, healthcare, or another regulated environment.
  • Familiarity with responsible AI, privacy, information security, and governance expectations.
  • Experience supporting champion networks, peer learning models, or communities of practice.

About the Company

Revolution Medicines

Clinical-stage oncology company developing RAS inhibitors

Revolution Medicines develops precision oncology drugs focused on cancers driven by RAS mutations. Its RAS(ON) inhibitors are small molecules that bind the active form of RAS to block cancer signaling, with candidates like Daraxonrasib (RMC-6236), Elironrasib (RMC-6291), and Zoldonrasib (RMC-9805) advancing in global Phase 3 trials. The company funds its research through collaborations, royalties, and upfront funding, and has not yet marketed a product. Its goal is to bring effective RAS-targeted therapies to patients and advance multiple candidates through late-stage trials toward approval, supported by strong cash reserves.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Redwood City, CA
Founded
2014

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