Product Manager, Brands AI

Adobe Adobe · Enterprise · San Jose, CA

Product Manager for Adobe's Brands AI system, focusing on enterprise adoption, scaling creative asset production, and ensuring brand consistency and governance. The role involves defining business outcomes, prioritizing use cases, integrating AI into workflows, leading change management, collaborating with technical teams, delivering proof points, measuring value, and scaling adoption across the organization.

What you'd actually do

  1. Define and articulate high-impact business needs by aligning Brand AI capabilities to enterprise priorities such as speed-to-market, cost efficiency, and brand consistency.
  2. Partner with cross-functional stakeholders (marketing, creative, legal, brand, IT) to identify and prioritize high-value use cases that deliver measurable impact.
  3. Drive the integration of Brand AI into existing creative and marketing workflows, tools, and governance processes to enable seamless adoption.
  4. Lead organizational change efforts by addressing concerns around AI, building trust through clear communication, and establishing responsible AI guardrails.
  5. Collaborate with engineering, solution architecture, and data teams to translate use needs into technical requirements and ensure successful deployment.

Skills

Required

  • product management
  • business consulting
  • branding
  • design
  • marketing technology
  • customer-centric thinking
  • business strategy
  • digital strategy
  • agile software development
  • enterprise software
  • AI/ML
  • cloud deployments
  • data integration
  • communication
  • storytelling
  • analytical skills
  • critical thinking
  • navigating complex organizations
  • influencing executives
  • building alignment
  • translating AI/ML concepts
  • creative processes
  • marketing operations
  • emotional intelligence
  • data-driven decision-making

Nice to have

  • Computer Science
  • Engineering
  • Design
  • Business
  • creative tools
  • user experience building
  • digital marketing systems
  • executive communication
  • consensus building
  • ontology design
  • knowledge graphs
  • brand systems

What the JD emphasized

  • scale products from prototype to production
  • translate innovative research into real-world applications
  • take ownership of both product and business outcomes
  • responsible AI guardrails

Other signals

  • AI system codifies brand identity
  • scale creative asset production using AI
  • ensure brand consistency, integrity, and governance
  • translate innovative research into real-world applications
  • scale products from prototype to production