Principal Product Marketing Manager, Customer Engagement
Adobe · San Francisco, CA · Marketing and Strategy
About this role
Adobe is hiring a senior-level Marketing Manager based in San Francisco, CA. The posting calls out experience with Express, LLMs, SaaS. Compensation is listed at $145,400–$261,150 per year.
- Role
- Marketing Manager
- Function
- marketing
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- San Francisco, CA
- Department
- Marketing and Strategy
- Posted
- Apr 20, 2026
More roles at Adobe
Job description
from Adobe careersAs a key member of the Creativity & Productivity Enterprise Product Marketing team, you will lead the customer engagement strategy and execution that drives adoption, retention, and expansion across Adobe’s Enterprise solutions. Your deep expertise in building and scaling customer product usage in partnership with marketing and customer success organizations, implementing customer adoption frameworks, and designing customer & marketing programs that drive product adoption—combined with a track record of leading large-scale, high-impact engagement initiatives—will enable you to deliver meaningful outcomes across the customer lifecycle.
In this role, you will partner closely with Product Marketing, Sales, Customer Success, Product, Engineering, and Operations to lead complex cross-functional programs that deepen customer engagement, accelerate product usage, and strengthen long-term retention and growth. You will also drive the implementation of product usage instrumentation to unlock data-driven insights that inform engagement strategies.
Reporting to the head of Enterprise GTM, this role will lead the development and execution of Enterprise customer engagement strategies across Adobe’s growing Enterprise portfolio. You will employ customer health metrics, and cross-functional partnerships to shape strategic priorities, inform executive decision-making, and operationalize engagement programs at scale.
Success in this role requires operating effectively in a large, complex data environment and synthesizing sophisticated product analytics, customer health data, and behavioral insights into clear recommendations, scalable programs, and measurable outcomes.