Senior Product Manager, Predictive AI
About The Position
Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! As a Senior Product Manager, Predictive AI within the Adobe Journey Optimizer team you'll build predictive AI that improves user experiences and boosts business results. You will bring an intuitive understanding of predictive AI technology and point of view on using it to solve marketing challenges.
Requirements
- 7+ years relevant practical experience
- Strong quantitative background, with a degree in Computer Science, advanced degree in econ/math/stats/physics, MBA highly preferred
- Familiarity with predictive AI techniques including regression analysis, machine learning, collaborative filtering, random forest, deep learning
- Hands-on technical skills & ability to communicate effectively with engineers
- Strong intuition for enterprise use cases, empathy for marketing challenges, and basic familiarity with B2B SaaS markets
- Experience Collaborating with UX teams and contributing valuable insight
Responsibilities
- Customer Research: Facilitate customer-facing co-development with Fortune 500 enterprises, including requirements gathering, pre-sales field support, post-sales review of standard methodologies, and customer compliance & model risk reviews.
- Requirements Definition: Translate business needs into product requirements for novel AI capabilities like journey path optimization, offer ranking, channel preference, and model interpretability.
- Product Definition: Collaborate with UX, engineering and data science to build and launch predictive AI features.
- Data-Driven Insights: Analyze AI model performance, usage, and conversion data to define 6-12 month product roadmap.
- User Adoption: Produce product docs and enablement materials that explain model behavior and value.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
