Group Manager, Growth Marketing - Acrobat Engagement

Adobe Adobe · Enterprise · San Francisco, CA +1

Group Manager, Growth Marketing for Adobe Acrobat, focusing on product-led growth and experimentation to improve trialist retention and user engagement. The role involves owning the strategy, process, and execution of in-product experimentation, leading a team, and partnering with Product and Data Science to drive measurable ARR impact.

What you'd actually do

  1. Define and own the experimentation vision, strategy, and roadmap across Acrobat’s in-product messaging and programmable surfaces
  2. Build and scale a high-velocity experimentation engine that delivers measurable ARR impact
  3. Establish guidelines for message and journey hypothesis development, test composition, measurement, and statistical rigor
  4. Drive prioritization frameworks that focus the team on the highest-impact growth opportunities — balancing targeting precision, journey sequencing, and surface reach
  5. Lead, mentor, and grow a team of growth marketing and experimentation managers

Skills

Required

  • Growth marketing
  • Experimentation
  • SaaS/technology experience
  • People management
  • A/B testing
  • Statistical analysis
  • Segmentation
  • Targeting
  • Lifecycle modeling
  • Platform scaling
  • Team leadership
  • Cross-functional collaboration
  • Business acumen

Nice to have

  • In-product messaging
  • Journey-based experimentation
  • Freemium/subscription business models
  • Adobe Acrobat
  • Document productivity tools

What the JD emphasized

  • 10+ years of experience in growth marketing, experimentation, or related roles in SaaS/technology. 5+ years of experience in managing people.
  • Proven track record of leading large-scale experimentation programs focused on message testing and user journey optimization that drive measurable revenue impact
  • Deep expertise in experimentation methodologies, statistical analysis, and A/B testing frameworks
  • Strong experience with segmentation, targeting, and lifecycle-based modeling (e.g., propensity models, LTV, churn prediction)
  • Demonstrated ability to scale experimentation platforms and increase testing velocity through systems and process