Senior Manager, Software Development – Meta Factory

Adobe | Software and technology

6d 12h ago

On-site

Full Time

Lead

United States of America

$160.2k - $320k USD/yr

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. This includes the agent harness, agent definitions, execution loop, evaluation systems, self-improvement capabilities, and skills framework.

What you’ll do

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.

What you’ll need to succeed

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.

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.

Let’s Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

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.

AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.

Expected Pay Range:

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.

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. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

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

State-Specific Notices:

California:

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

Colorado:

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts:

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Required Skills

awsazure

Required Languages

🇬🇧 English

What you’ll do

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.

What you’ll need to succeed

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.