Adobe

Engineering Manager, AI Developer Productivity and Frameworks

San Jose

Sponsorship not specified$146k-$290kDetected 8 days ago

ExpressCI/CDMachine LearningLLMsLeadershipMentoring

About the role

Adobe Document Cloud's AI organization is seeking an Engineering Manager to lead the team behind our Generative AI frameworks and developer productivity systems..
This team builds the frameworks, tooling, and delivery infrastructure that AI squads across Document Cloud depend on.
You will set standard practices and collaborate across the org to build the momentum and assurance behind shipping features quickly and at scale.

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.
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.
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.
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.
Lead, grow, hire, and develop the team. Provide coaching, direct feedback, and career development, and stretch senior and principal engineers through cross-org ownership.
Represent the team and build consensus across engineering teams and leadership to move initiatives forward.
6+ years of engineering management experience, with a track record of building and leading platform, developer productivity, infrastructure, or ML platform teams in a fast-paced product environment.
You see building frameworks, setting standards, and multiplying other developers as the rewarding work.

You have engineered developer-facing frameworks, APIs, or platforms, and hold rigorous standards for abstractions and interfaces.
You can assess architectural tradeoffs and the craft that makes a system worth adopting.
You know what good instrumentation looks like and hold your team to it.
Hands-on experience with CI/CD for AI/ML systems, including the automated quality gates and testing that let teams ship quickly without regressions.
Familiarity with DORA or SPACE metrics.
B.S., M.Sc., or equivalent practical experience in Computer Science or a related field.

If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets.
The U.S. pay range for this position is $146,300 -- $289,900 annually.
Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience.
Your recruiter can share more about the specific salary range for the job location during the hiring process.
In California, the pay range for this position is $200,200 - $289,900
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans.

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

This listing is sourced directly from Adobe's careers page and normalized into a canonical job model.