Engineering Manager, AI Developer Productivity and Frameworks

Adobe; San Jose (CA); On-site; USD 200,200 - 289,900; Full time

Job summary

Adobe Document Cloud's AI organization seeks an Engineering Manager to lead the Generative AI frameworks and developer productivity systems. You will set standards, drive delivery, and collaborate across the org to scale shipping of features.

The role focuses on agentic frameworks, tooling, observability, and maturing CI/CD and release practices while mentoring engineers and growing the team to meet product goals.

Qualifications

• 6+ years of engineering management experience leading platform or ML infrastructure teams.
• Experience engineering developer-facing frameworks, APIs, or platforms and setting standards.
• Ability to influence across teams and drive adoption of tooling and processes.

Responsibilities

• Own the Generative AI development frameworks and set the technical direction.
• Own your team's delivery and roadmap; remove blockers and ensure production quality.
• Drive organizational discipline in CI/CD, observability, and deployment practices.
• Champion developer experience and reduce onboarding friction for AI tooling.
• Lead, grow, hire, and develop the team with coaching and career development.
• Represent the team and align with leadership to move initiatives forward.

Skills

Leadership

Platform development

Developer productivity

ML platform

Observability

CI/CD

Architectural tradeoffs

Cross-team influence

Education

Bachelor’s / Master’s in CS

Job description

The Opportunity

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.

Acrobat's AI features reach hundreds of millions of users and process billions of documents. At the center of how they get built are the frameworks this team owns: the agentic frameworks features run on, the tooling teams build with, and the observability to see how features behave before production. The team also leads the wider org in maturing its CI/CD and release practices.

The bar is mature software engineering craft: clean abstractions, well-designed interfaces, and systems developers want to adopt. The job runs on influence, building tools good enough that teams adopt them by choice and getting the leadership on board that makes new ways of working stick.

What you'll Do

• 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.

What you need to succeed

• 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 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 see building frameworks, setting standards, and multiplying other developers as the rewarding work.
• Demonstrated ability to influence and align across teams you do not manage. You have driven adoption of standards, tools, or operating models org-wide, shaped decisions with directors and senior partners, and navigated competing priorities.
• A product approach toward internal platforms. Engineers are your customers, and you have created tools teams genuinely wanted to use.
• Strong command of observability and telemetry. 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.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

Expected Pay Range

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.