Senior Engineering Manager – Agentic Product

Adobe Adobe · Enterprise · San Francisco, CA +3

Lead a team of engineers building Adobe's Agentic Product, an AI-native experience integrating generative models and creative intelligence for creators. This hands-on leadership role involves daily execution, team growth, and shipping quality agentic experiences across Adobe's surfaces, partnering with Product Management and collaborating with platform teams.

What you'd actually do

  1. Lead day-to-day engineering execution for a team building Agentic Product capabilities — coordinating delivery, managing dependencies, and maintaining a predictable shipping cadence across surfaces.
  2. Grow and develop the engineers on your team through coaching, goal-setting, and hands-on technical engagement that builds both individual and team capability.
  3. Partner with Agentic Product Management to translate product strategy into well-scoped engineering plans, sequence delivery, and surface technical constraints early.
  4. Contribute to 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. Help 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 engineering teams
  • shipping AI products
  • AI/ML product engineering
  • LLM APIs
  • agent frameworks
  • generative models
  • creative contexts
  • technical depth
  • architecture decisions
  • code review
  • product sensibility
  • user experience
  • cross-functional collaboration
  • fast-moving, ambiguous environments
  • quality, reliability, and trust requirements

Nice to have

  • Experience with LLM providers
  • contributing to AI product strategy

What the JD emphasized

  • track record of leading engineering teams to ship complex, high-quality user-facing AI products
  • working knowledge of LLM APIs, agent frameworks
  • Hands-on technical depth
  • quality, reliability, and trust requirements that come with shipping AI features to a large consumer and enterprise audience

Other signals

  • leading engineering teams
  • shipping AI products
  • agentic product