Revolution Medicines

Senior Director, Customer Engagement Strategy & Operations

Revolution Medicines$244K — $305K *
Pharmaceuticals & Biotech
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree required; MBA or advanced degree preferred.
  • 12+ years experience in commercial strategy, marketing, or related fields within pharma or biotech.
  • Demonstrated expertise in Generative AI, Agentic AI, and large language models.
  • Experience in cross-functional leadership within matrixed organizations.
  • Ability to translate commercial needs into data and technology requirements.
  • Strong understanding of omnichannel engagement platforms like Veeva CRM or Salesforce Marketing Cloud.
  • Preferred experience in oncology commercialization or high-growth biotech environments.

Responsibilities

  • Act as thought leader on AI and emerging capabilities, advising commercial leadership.
  • Identify high-value opportunities and develop a customer engagement roadmap.
  • Connect commercial and technical teams to deliver AI-enabled solutions.
  • Design omnichannel experiences that leverage predictive and prescriptive capabilities.
  • Define data and technology requirements for optimal customer targeting.
  • Shape AI vision and operating model for customer engagement.
  • Foster cross-functional alignment to ensure measurable impact and compliance.

Benefits

  • Competitive cash compensation and robust equity awards.
  • Strong benefits package including health and wellness programs.
  • Significant learning and development opportunities.
  • Collaborative work environment focused on innovation and compliance.
Full Job Description
The Opportunity:

The Senior Director, Customer Engagement Strategy (Generative AI, Agentic AI & GEO) is a newly created role within commercial that will shape how Revolution Medicines uses advanced AI to improve healthcare professional engagement and ultimately commercial performance across the US. is seeking a forward-thinking, digital & AI fluent customer engagement leader strategically focused on creating, shaping and implementing innovative AI capabilities to drive optimal performance while also delivering high-quality customer experiences across our HCP engagement channels. This individual will drive business impact and transformation through the combination of commercial go-to-market strategy, deep AI acumen, commercial data subject mastery, and extensive customer engagement experience. This role reports to the Head of Portfolio Omnichannel Strategy & Operations and is not a software engineering or data science position. This leader is an AI SME and is also a strategic AI advisor to SVP, VP, USLT & other functions with proven success influencing and delivering for executive level.

The successful candidate will bring deep Generative AI and Agentic AI expertise and apply it to identify high-value opportunities, shape implementation approaches, and deliver measurable improvements in HCP & Patient engagement across brands, platforms, channels & data sets. This business leadership position requires experience evaluating, piloting and scaling AI-enabled solutions. The role will set the commercial AI vision and operating model (with solution design), prioritizing high-value use cases, influencing enterprise roadmaps, and guiding capabilities from concept to pilot through adoption and scale. The selected candidate will translate portfolio and brand priorities into AI-enabled orchestrated engagement capabilities that improve with the personalization and timing of engagements via contacts points that are relatable, relevant and resonate with customers & patients.

As an initial individual contributor, this person will lead through expertise, collaboration, and influence while establishing repeatable data, governance, and operating practices that can support multiple brands and functions (portfolio) where applicable. Working in a highly collaborative environment there will be strong collaboration with the Analytics & Insights team and Commercial IS for shared innovation, signals, methodology, computed attributes, segmentation, personalization, dynamic targeting, data management & data pipelines.

Responsibilities include:
  • Serve as the Internal & external thought leader on AI & Emerging capabilities.Provide informed guidance to Commercial Leadership, brand teams, Enterprise AI, Commercial IT, data product owners, and external partners, and help teams understand the benefits, opportunities and risks associated with emerging AI & LLM capabilities.
  • Identify and prioritize high-value opportunities.Translate portfolio, brand, market, and customer insights into a practical customer engagement roadmap (and programs/projects) driving a positive RevMed engagement across HCP & patients spanning personal & non-personal engagement channels.
  • Translate strategy into executable solutions.Connect commercial and technical teams by defining solutions or journeys that include generative or agentic AI solutions, intended outcomes, data requirements, success measures and leading by example to move these solutions from ideation to pilot to production and scale.
  • Advance AI-enabled omnichannel engagementDesign connected HCP experiences across field, digital, media, email, congress, and emerging channels, using predictive, prescriptive, generative, and agentic capabilities to improve when, where, how, and when not to engage. (Builds on the bullet below)
  • (Focused on Ai inputs and outputs) Strengthen data, technology, and measurement for optimal customer experiences.Define any new data, signals, and decision logic needed for targeting, segmentation, orchestration, consent, content distribution, and optimization. Partner on KPIs, dashboards, platform and vendor evaluations, build-versus-buy decisions, and integration needs.
  • Shape the commercial AI vision and operating model that drives customer engagement & impact.Define shared standards, frameworks, governance, and scalable ways of working for Generative AI and Agentic AI in U.S. Commercial customer engagement. This environment will not be static, we will find new solutions as we further mature our capabilities.
  • Enable adoption and measurable impactBuild cross-functional alignment, clear processes, and practical change-management approaches that support innovation while maintaining compliance. Track engagement effectiveness, efficiency, business impact, and return on investment.

Required Experience, Skills, and Education:
  • Bachelor's degree required; MBA or another advanced degree strongly preferred.
  • Commercial experience.12+ years of progressive experience in commercial strategy, marketing, omnichannel customer engagement, marketing operations, data, analytics, or related functions within the pharmaceutical or biotechnology industry.
  • AI subject matter expertiseDemonstrated expertise in the business application of Generative AI, Agentic AI, large language models, AI agents, natural language processing, machine learning, and predictive and prescriptive analytics. Experience must extend beyond general familiarity and include evaluating, shaping, implementing, or scaling AI-enabled solutions. Strong experience in the application of progressive AI & ML technologies including NLP, Bayesian, LLMs, ML Learning & Training.
  • Cross-functional leadership.Demonstrated success leading complex programs in matrixed organizations, building alignment, influencing senior stakeholders, and delivering outcomes without direct authority.
  • Business-to-technical translation.Proven ability to turn complex commercial needs into clear AI, data, product, and technology requirements and to partner effectively with data scientists, engineers, product owners, Enterprise AI, and Commercial IT teams.
  • Data + Omnichannel Expertise & Innovation.Strong understanding of commercial data, analytics, CRM, marketing automation, customer journey orchestration, and digital engagement platforms, including Veeva CRM, Salesforce Marketing Cloud, or comparable tools.
  • Regulated-industry experienceExperience partnering with Legal, Medical, Compliance, promotional review, privacy, procurement, and vendor teams to enable responsible innovation.
  • Preferred background.Oncology commercialization or launch experience, targeted therapy or rare-disease experience, and work in a high-growth or pre-commercial biotechnology environment are strongly preferred.
    #LI-Hybrid #LI-SS2


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.

Base Pay Salary Range

$244,000-$305,000 USD

We are aware of recent recruitment scams in which individuals or organizations falsely represent themselves as being affiliated with Revolution Medicines. These scams may appear as false job advertisements or unsolicited contacts through communication or chat platforms, email, phone, or text message.

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.

If you believe you've been contacted by someone impersonating a Revolution Medicines recruiter, please report it to [email protected] so we can share these impersonations with our IT team for tracking and awareness.

About Revolution Medicines

Revolution Medicines is a clinical-stage precision oncology company focused on developing targeted therapies to inhibit elusive frontier targets within notorious growth and survival pathways, with particular emphasis on RAS and mTOR signaling pathways. The company's proprietary platform enables the discovery and development of small molecules that bind covalently to proteins. Revolution Medicines was founded in 2014 and is headquartered in South San Francisco, California.
Learn more about Revolution Medicines
Size
201 employees
Market Cap
$2.1 billion
Industry
Net Income
-$108.1 million
Revenue
$42.9 million
NASDAQ

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