Senior Manager Engineering – Meta Factory

About the role

The Opportunity Adobe Unified Platform is building the system that changes how software gets made at Adobe. A platform that understands builders’ intent, breaks down complex work, executes it through autonomous agents, and improves with every cycle. What this team ships multiplies across thousands of Adobe engineers, and it's the substrate the rest of Adobe's agentic efforts build on. Meta Factory is the core of this platform. It is Adobe’s Agentic Builders Experience: a model-independent system that helps agents understand goals, use tools, evaluate outcomes, and improve over time. Think of it as Adobe’s company-wide version of Claude Code, optimized for Adobe’s needs and operated as a platform for the whole company. We are hiring a Senior Engineering Manager to build and lead the teams that own Meta Factory.

Responsibilities

• Own engineering execution for Meta Factory, including the agent harness, agent definitions, execution loop, evaluations, self-improvement systems, and skills framework.
• Lead development of the agent harness, including runtime, tool integrations, context management, control mechanisms, and execution environments.
• Build and lead a high-performing engineering team that partners cross-functionally to turn strategy into prioritized, reliable, secure, and scalable execution.
• Design feedback systems that help agents evaluate their work, learn from outcomes, and improve over time.
• Lead build-versus-buy evaluations across the Meta Factory stack, with clear recommendations on where to adopt external solutions and where Adobe should build key capabilities.
• Stay current with agentic standards, model capabilities, and AI engineering practices, and apply relevant advances to Meta Factory.

Requirements

• Experience building and scaling engineering teams that deliver AI, developer platform, or infrastructure systems.
• 5+ years of people management experience, including 2+ years leading teams that deploy AI applications in production.
• Technical depth in AI/ML systems, including LLM APIs, agent frameworks, modern software engineering practices, and cloud platforms such as AWS or Azure.
• Architecture judgment, including the ability to review designs, evaluate tradeoffs, identify fragile agent behavior, and catch production risks early.
• Experience developing engineers, expanding team capabilities, and supporting career growth.
• Clear communication skills, including the ability to explain technical concepts, align stakeholders, and drive decisions.

Qualifications

• Experience with AI/ML systems, including LLM APIs, agent frameworks, modern software engineering practices, and cloud platforms such as AWS or Azure.
• Strong understanding of architecture principles and the ability to evaluate tradeoffs.
• Ability to identify and mitigate production risks related to agent behavior.
• Experience in managing and growing engineering teams.
• Excellent communication and collaboration skills.

Skills

• Strong leadership and management skills.
• Experience with AI/ML systems, including LLM APIs, agent frameworks, modern software engineering practices, and cloud platforms such as AWS or Azure.
• Experience in building and scaling engineering teams.
• Strong problem-solving and decision-making abilities.
• Ability to communicate technical concepts effectively to non-technical stakeholders.

Benefits

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. We offer a comprehensive benefits package, including:

• Comprehensive health insurance options.
• Flexible spending accounts (FSAs).
• Retirement savings plans (401(k)).
• Employee assistance programs (EAP).
• Work-life balance initiatives.
• Professional development opportunities.

Pay

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 $160,200 -- $320,000 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.

Schedule

Full-time position.