Director, Engineering – Agentic Product

Adobe Adobe · Enterprise · San Jose, CA

Director of Engineering for Adobe's Agentic Product, focusing on leading the technical execution of an AI-native experience for creators. The role involves defining, building, and shipping agentic experiences, ensuring end-to-end product quality, and growing the engineering team. Requires strong experience in AI/ML product engineering, LLM APIs, agent frameworks, and shipping user-facing AI products at scale.

What you'd actually do

  1. Lead the engineering execution of Adobe's Agentic Product — collaborating to define what the agent does, driving the quality of its outputs, and ensuring it ships on a predictable cadence across surfaces.
  2. Grow and lead the engineering team building Agentic Product capabilities, driving technical strategy, team health, and execution velocity.
  3. Partner closely with the Agentic Product Management leads to define technical scope, sequence delivery, and translate product strategy into executable engineering plans.
  4. Lead the design and delivery of agent capabilities spanning in-app creative workflows, multi-step task execution, and context-aware assistance across Adobe's surfaces.
  5. Establish and maintain the quality bar for agent behavior — what good looks like, how it's measured, and how the team systematically improves it over time.

Skills

Required

  • leading and scaling high-performing engineering teams
  • shipping complex, high-quality user-facing AI products at scale
  • Deep experience with AI/ML product engineering
  • working knowledge of LLM APIs
  • agent frameworks
  • capabilities and limitations of current generative models in creative contexts
  • Hands-on technical expertise
  • engage deeply in architecture decisions
  • review designs with a substantive point of view
  • recognize good and brittle agent behavior at the implementation level
  • Strong product sensibility
  • Strong cross-functional leadership instincts
  • history of effective partnership with Product, Design, and platform engineering teams
  • Comfort operating in fast-moving, ambiguous environments
  • Experience with the quality, reliability, and trust requirements that come with shipping AI features to a large consumer and enterprise audience
  • Demonstrated ability to lead change management and drive continuous innovation in engineering processes and practices

Nice to have

  • Experience working with LLM providers or contributing to AI product strategy

What the JD emphasized

  • end-to-end product quality of the agent
  • shipping high-quality, user-facing AI experiences
  • Hands-on technical expertise
  • quality, reliability, and trust requirements

Other signals

  • leading engineering teams
  • shipping AI products
  • agentic product