Engineering Manager, AI Developer Productivity and Frameworks

Adobe Adobe · Enterprise · San Jose, CA

Engineering Manager to lead a team building Generative AI frameworks, tooling, and delivery infrastructure for Adobe Document Cloud. The role focuses on agentic frameworks, developer productivity, and observability, aiming to enable AI squads to ship features quickly and at scale. Requires strong software engineering craft, influence, and a product approach to internal platforms.

What you'd actually do

  1. Own the Generative AI development frameworks: the agentic frameworks, tooling, and observability teams rely on to build and ship. Set the technical direction and hold a high bar for clean abstractions and interfaces.
  2. Own your team's delivery and roadmap. Set priorities with product and engineering partners, remove blockers, and hold the team to a high production-quality bar.
  3. Drive the org in assuming responsibility. Guide AI squads to bring rigor and accountability to continuous integration, delivery, and deployment quality. s in their DORA metrics.
  4. Champion developer experience. Cut onboarding friction and move toward AI-native tooling that lets engineers ship from their own codebase with agents handling the busy work.
  5. Lead, grow, hire, and develop the team. Provide coaching, direct feedback, and career development, and stretch senior and principal engineers through cross-org ownership.

Skills

Required

  • Engineering management experience
  • Building and leading platform, developer productivity, infrastructure, or ML platform teams
  • Engineering developer-facing frameworks, APIs, or platforms
  • Rigorous standards for abstractions and interfaces
  • Assessing architectural tradeoffs
  • Influencing and aligning across teams
  • Driving adoption of standards, tools, or operating models
  • Product approach toward internal platforms
  • Observability and telemetry
  • CI/CD for AI/ML systems
  • Automated quality gates and testing
  • Mentoring and people development

Nice to have

  • Experience in a fast-paced product environment
  • Familiarity with DORA or SPACE metrics

What the JD emphasized

  • 6+ years of engineering management experience, with a track record of building and leading platform, developer productivity, infrastructure, or ML platform teams
  • You have engineered developer-facing frameworks, APIs, or platforms, and hold rigorous standards for abstractions and interfaces.
  • Demonstrated ability to influence and align across teams you do not manage.
  • Hands-on experience with CI/CD for AI/ML systems, including the automated quality gates and testing that let teams ship quickly without regressions.

Other signals

  • Generative AI frameworks
  • developer productivity systems
  • agentic frameworks
  • observability
  • CI/CD for AI/ML systems