Product Engineering Manager Jobs at Adobe with Visa Sponsorship
Product Engineering Manager roles at Adobe sit at the intersection of technical depth and team leadership, overseeing engineers building products used by millions of creatives worldwide. Adobe has a well-established sponsorship infrastructure for engineering management functions, supporting candidates across multiple nonimmigrant and immigrant visa pathways throughout the hiring and filing process.
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Get Access To All JobsINTRODUCTION
Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
ABOUT THE ROLE
The Adobe Experience Platform (AEP) Product Success Engineering (PSE) team is seeking an innovative Sr Manager of Software Engineering & Applied AI to lead the development of AI agents, tooling, and automation focused specifically on customer troubleshooting and support solutions. Our team seeks to revolutionize customer support through intelligent automation and AI agents that solve AEP customer issues. Your work will help fundamentally transform how we diagnose, deflect, and resolve customer support challenges by empowering customers directly with AI-powered troubleshooting capabilities. As an engineering leader, you will be responsible for the design and development of Agentic-first solutions focused on the Troubleshooting & Support domain: solving AEP customer support issues through intelligent diagnosis, deflection, and resolution systems that leverage AI agents for automated issue diagnosis, intelligent ticket creation/routing, and self-service troubleshooting capabilities. In this role, you will collaborate with other members of our multidisciplinary team, including solution architects and data scientists, to build scalable troubleshooting systems that establish our commitment to setting new industry benchmarks for customer support engineering while driving measurable improvements in support resolution rates and customer satisfaction.
KEY RESPONSIBILITIES
Technical Leadership & Strategy:
- Define and execute the technical strategy for AI-powered customer support solutions within Adobe's AEP portfolio, focusing specifically on troubleshooting and issue resolution capabilities
- Lead the design and development of agentic AI systems that autonomously diagnose and resolve customer support issues through intelligent automation
Team Management & Development:
- Build, mentor, and lead a high-performing engineering team of 8-12 engineers and data scientists, fostering a culture of innovation, customer obsession, and technical excellence in support automation
- Collaborate effectively with engineering teams, product management, and support organizations to ensure seamless integration of AI-powered troubleshooting solutions into AEP
Product & Technical Execution:
- Oversee the end-to-end development lifecycle of intelligent support automation systems and AI agents that transform reactive support into proactive, automated issue resolution
- Drive the implementation of automated diagnostic tools, self-service troubleshooting interfaces, and intelligent ticket routing systems embedded directly into AEP's support experience
Support Engineering Innovation:
- Champion the development of scalable troubleshooting automation solutions targeting 90%+ automated issue diagnosis accuracy, 75%+ first contact resolution rates, and measurable reduction in support ticket volume
- Establish engineering best practices for AI model deployment in support systems, ensuring reliability and operational excellence while maintaining compliance with security and privacy standards
Cross-Functional Partnership:
- Serve as the technical lead for support engineering initiatives, translating complex troubleshooting challenges into scalable AI-powered solutions
- Partner closely with Support Engineers, Field Support Consultants, and Customer Success teams to understand support challenges and translate them into automated engineering solutions
REQUIRED QUALIFICATIONS
Educational Foundation & Core Experience:
- Bachelor's degree in Computer Science, Engineering, or related technical field, with 8+ years of software engineering experience, including 3+ years in engineering leadership roles managing teams of 5+ engineers
- Demonstrated expertise in Applied AI/ML with 2-4 years of hands-on experience deploying production AI systems, including understanding of LLMs, generative AI, prompt engineering, and RAG architectures
Technical Leadership & Architecture:
- Proven experience architecting and delivering medium to large-scale, cloud-native platforms and distributed systems, with expertise in microservices, API design, and enterprise integration patterns
- Strong background in customer support platforms, diagnostic systems, and automated troubleshooting tools, with experience building real-time issue detection and resolution systems
- Product and customer mindset, with ability to translate customer support challenges into scalable, automated solutions that improve resolution rates
Customer Support & B2B SaaS Expertise:
- Understanding of B2B SaaS customer support methodologies, including automated ticketing systems, issue classification, and support analytics
- Experience working with customer-facing support engineering teams or technical support organizations, with demonstrated ability to translate support feedback into product improvements
Leadership & Communication:
- Strong communication skills with the ability to influence stakeholders, present to management, and drive alignment across technical and support teams
- Proven ability to hire, develop, and retain engineering talent while fostering collaborative, high-performance team cultures focused on customer support outcomes
PREFERRED QUALIFICATIONS
- Experience building self-service diagnostic tools, AI-powered support chatbots, and automated troubleshooting workflows into enterprise SaaS products
- Knowledge of customer support platforms, ticketing systems, and support analytics tools
- Expertise in Adobe Experience Platform (AEP) and/or Adobe Experience Platform Developer certifications a plus
COMPENSATION
- 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.
- In California, the pay range for this position is $221,000 - $320,000
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.
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 applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.
INTRODUCTION
Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
ABOUT THE ROLE
The Adobe Experience Platform (AEP) Product Success Engineering (PSE) team is seeking an innovative Sr Manager of Software Engineering & Applied AI to lead the development of AI agents, tooling, and automation focused specifically on customer troubleshooting and support solutions. Our team seeks to revolutionize customer support through intelligent automation and AI agents that solve AEP customer issues. Your work will help fundamentally transform how we diagnose, deflect, and resolve customer support challenges by empowering customers directly with AI-powered troubleshooting capabilities. As an engineering leader, you will be responsible for the design and development of Agentic-first solutions focused on the Troubleshooting & Support domain: solving AEP customer support issues through intelligent diagnosis, deflection, and resolution systems that leverage AI agents for automated issue diagnosis, intelligent ticket creation/routing, and self-service troubleshooting capabilities. In this role, you will collaborate with other members of our multidisciplinary team, including solution architects and data scientists, to build scalable troubleshooting systems that establish our commitment to setting new industry benchmarks for customer support engineering while driving measurable improvements in support resolution rates and customer satisfaction.
KEY RESPONSIBILITIES
Technical Leadership & Strategy:
- Define and execute the technical strategy for AI-powered customer support solutions within Adobe's AEP portfolio, focusing specifically on troubleshooting and issue resolution capabilities
- Lead the design and development of agentic AI systems that autonomously diagnose and resolve customer support issues through intelligent automation
Team Management & Development:
- Build, mentor, and lead a high-performing engineering team of 8-12 engineers and data scientists, fostering a culture of innovation, customer obsession, and technical excellence in support automation
- Collaborate effectively with engineering teams, product management, and support organizations to ensure seamless integration of AI-powered troubleshooting solutions into AEP
Product & Technical Execution:
- Oversee the end-to-end development lifecycle of intelligent support automation systems and AI agents that transform reactive support into proactive, automated issue resolution
- Drive the implementation of automated diagnostic tools, self-service troubleshooting interfaces, and intelligent ticket routing systems embedded directly into AEP's support experience
Support Engineering Innovation:
- Champion the development of scalable troubleshooting automation solutions targeting 90%+ automated issue diagnosis accuracy, 75%+ first contact resolution rates, and measurable reduction in support ticket volume
- Establish engineering best practices for AI model deployment in support systems, ensuring reliability and operational excellence while maintaining compliance with security and privacy standards
Cross-Functional Partnership:
- Serve as the technical lead for support engineering initiatives, translating complex troubleshooting challenges into scalable AI-powered solutions
- Partner closely with Support Engineers, Field Support Consultants, and Customer Success teams to understand support challenges and translate them into automated engineering solutions
REQUIRED QUALIFICATIONS
Educational Foundation & Core Experience:
- Bachelor's degree in Computer Science, Engineering, or related technical field, with 8+ years of software engineering experience, including 3+ years in engineering leadership roles managing teams of 5+ engineers
- Demonstrated expertise in Applied AI/ML with 2-4 years of hands-on experience deploying production AI systems, including understanding of LLMs, generative AI, prompt engineering, and RAG architectures
Technical Leadership & Architecture:
- Proven experience architecting and delivering medium to large-scale, cloud-native platforms and distributed systems, with expertise in microservices, API design, and enterprise integration patterns
- Strong background in customer support platforms, diagnostic systems, and automated troubleshooting tools, with experience building real-time issue detection and resolution systems
- Product and customer mindset, with ability to translate customer support challenges into scalable, automated solutions that improve resolution rates
Customer Support & B2B SaaS Expertise:
- Understanding of B2B SaaS customer support methodologies, including automated ticketing systems, issue classification, and support analytics
- Experience working with customer-facing support engineering teams or technical support organizations, with demonstrated ability to translate support feedback into product improvements
Leadership & Communication:
- Strong communication skills with the ability to influence stakeholders, present to management, and drive alignment across technical and support teams
- Proven ability to hire, develop, and retain engineering talent while fostering collaborative, high-performance team cultures focused on customer support outcomes
PREFERRED QUALIFICATIONS
- Experience building self-service diagnostic tools, AI-powered support chatbots, and automated troubleshooting workflows into enterprise SaaS products
- Knowledge of customer support platforms, ticketing systems, and support analytics tools
- Expertise in Adobe Experience Platform (AEP) and/or Adobe Experience Platform Developer certifications a plus
COMPENSATION
- 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.
- In California, the pay range for this position is $221,000 - $320,000
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.
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 applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.
See all 48+ Product Engineering Manager at Adobe jobs
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Get Access To All JobsTips for Finding Product Engineering Manager Jobs at Adobe Jobs
Align your credentials to Adobe's specialty occupation standard
Adobe's H-1B petitions for engineering managers require a direct connection between your degree field and the role. A computer science or software engineering degree maps cleanly; a general business degree paired with strong technical experience needs a documented equivalency argument before you apply.
Target Adobe's multi-cloud product lines strategically
Adobe hires Product Engineering Managers across Creative Cloud, Experience Cloud, and Document Cloud. Roles tied to Experience Cloud's enterprise platform tend to have more open headcount, so tailoring your application narrative to that segment improves your chances of reaching a sponsorship-ready hiring team.
Use Migrate Mate to surface active Adobe openings
Adobe posts Product Engineering Manager roles across multiple channels with inconsistent sponsorship signals. Use Migrate Mate to filter specifically for Adobe roles confirmed to sponsor your visa type, so you're not spending time on postings that won't move forward.
Clarify cap-subject status before your offer stage
If you're moving from F-1 OPT or a first-time H-1B position, confirm with Adobe's recruiting team whether the role requires a cap-subject petition. Roles at Adobe's direct entity are cap-subject, which means timing around the April USCIS filing window directly affects your start date.
Request premium processing when your OPT expiration is close
USCIS premium processing cuts adjudication to 15 business days. If your OPT end date or cap-gap window is within three months of your expected start, raising this with Adobe's immigration team during offer negotiation prevents a gap in your work authorization.
Document your engineering management scope for PERM labor certification
Adobe typically initiates PERM-based Green Card sponsorship for long-tenured engineering managers. Your job duties on file with the DOL must reflect actual team scope, including headcount managed and technical decision-making authority, not a generic job description that understates your role.
Product Engineering Manager at Adobe jobs are hiring across the US. Find yours.
Find Product Engineering Manager at Adobe JobsFrequently Asked Questions
Does Adobe sponsor H-1B visas for Product Engineering Managers?
Yes, Adobe sponsors H-1B visas for Product Engineering Managers. Adobe has a mature immigration program that handles H-1B petitions through its in-house legal and HR teams. Sponsorship is standard for qualifying roles, but you'll need to demonstrate that the position meets USCIS's specialty occupation criteria, with your degree field directly related to engineering management functions at Adobe's scale.
How do I apply for Product Engineering Manager jobs at Adobe?
Apply through Adobe's careers site, targeting Product Engineering Manager openings across its Creative Cloud, Experience Cloud, or Document Cloud divisions. Tailor your resume to reflect technical leadership, cross-functional delivery, and team scale. You can also browse Adobe's visa-sponsoring roles filtered by your visa type on Migrate Mate, which surfaces confirmed sponsorship opportunities and saves time screening postings manually.
Which visa types does Adobe commonly sponsor for Product Engineering Manager roles?
Adobe sponsors H-1B, E-3, TN, and F-1 OPT for Product Engineering Manager positions. Australian citizens should evaluate the E-3 pathway since it bypasses the H-1B lottery. Canadian and Mexican nationals in the software category may qualify for TN status. For permanent residence, Adobe typically pursues EB-2 or EB-3 sponsorship through PERM labor certification for managers in long-term roles.
What qualifications does Adobe expect for a Product Engineering Manager?
Adobe typically looks for a bachelor's degree or higher in computer science, software engineering, or a closely related technical field, combined with hands-on experience managing engineering teams that ship software at scale. Candidates who've led cross-functional squads, driven technical roadmaps, and have experience with cloud-based product development align most strongly with Adobe's engineering management profile across its SaaS platform divisions.
How do I time my application around the H-1B cap and Adobe's hiring cycle?
USCIS opens H-1B registration in March for an October 1 start date. Adobe typically ramps Product Engineering Manager hiring in Q1 and Q4, so targeting those windows gives you the best chance of receiving an offer before the March registration period closes. If you're on F-1 OPT, cap-gap protections can extend your authorization through September 30 if your petition is filed before your OPT expires.
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