Engineering Technician Jobs at Adobe with Visa Sponsorship
Engineering Technician jobs at Adobe sit at the intersection of hardware, software, and creative technology infrastructure. Adobe has a strong track record of sponsoring international talent in technical functions, making it a realistic target if you hold the right qualifications and understand how the sponsorship process works.
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Get Access To All JobsINTRODUCTION
Adobe Express enables everyone — individuals and large organizations alike — to produce impressive content effortlessly. The AI Foundations team builds the flexible, scalable AI framework that powers creativity at scale across design, imaging, motion, and personalization.
We are looking for an Engineering Manager to lead and grow a team of engineers building the AI infrastructure for Adobe Express. This role sits at the intersection of technical leadership and people management — you will own the delivery of the AI stack spanning Agentic AI, Imaging AI, Motion AI, and Personalization AI, while developing the engineers who build it. You will partner closely with product, research, and cross-functional engineering teams to shape the technical direction of one of Adobe’s most strategic platforms.
This is an early-level people management role (M30), well suited to someone with a strong engineering foundation who has been leading & managing teams for 3 – 5 years and is looking to deepen their impact through the growth of others and the delivery of high-consequence systems at scale.
ROLE AND RESPONSIBILITIES
Technical direction and delivery:
- Own end-to-end delivery of AI infrastructure workstreams — including LLM orchestration, inference services, data pipelines, and evaluation frameworks — from planning through production.
- Maintain strong enough technical depth to participate in system design reviews, challenge architectural decisions, and unblock your team on complex problems.
- Work with your team to set and meet engineering quality standards: observability, fault tolerance, latency guarantees, security, and responsible AI practices — including bias awareness and data privacy for AI systems.
- Make deliberate, explicit calls on technical debt versus feature velocity, and hold the team accountable to those decisions.
- Develop and communicate a coherent technical roadmap for your area, balancing immediate delivery with sustainable long-term architecture.
Cross-functional partnership:
- Partner with product management & engineering leadership to decompose high-level product requirements into concrete technical requirements — breaking ambiguous asks into scoped workstreams with clear dependencies, effort estimates, and sequencing.
- Drive prioritization across competing demands — balancing new feature work, infrastructure investment, and reliability improvements with a clear, defensible rationale the team and stakeholders can align on.
- Collaborate with AI research, data science, and platform teams to integrate in-house and third-party models and APIs into production-quality serving systems.
- Represent your team’s work and direction to senior stakeholders — communicating progress, risks, and technical trade-offs clearly to both technical and non-technical audiences.
Team leadership and people development:
- Manage and grow a team of 6–10 engineers across varying seniority levels, providing regular coaching, feedback, and career development support.
- Drive a strong hiring bar — own the full recruiting lifecycle for your team, from sourcing through offer, and help build an inclusive, high-performing culture.
- Foster a collaborative, psychologically safe environment where engineers can do their best work and grow into senior and staff roles.
BASIC QUALIFICATIONS
- 3 – 5 years of engineering management experience, with a track record of delivering complex infrastructure or platform projects through a team.
- A strong technical foundation in distributed systems, AI/ML infrastructure, or large-scale service development — enough to earn credibility with senior engineers and make sound architectural trade-offs.
- Experience owning team execution end-to-end — including structured prioritization across competing workstreams, dependency management, and shipping reliably in an agile, fast-moving environment. Can articulate trade-off decisions clearly, not just make them.
- Clear, structured communication skills — able to translate technical trade-offs into business terms for PMs and non-technical stakeholders, and to influence direction without authority across teams.
- Comfort navigating ambiguity: defining scope, making decisions with incomplete information, and adapting plans quickly as systems and priorities evolve.
- Working fluency in modern AI/ML concepts — LLM orchestration, inference infrastructure, prompt engineering, AI output evaluation, and data pipelines — sufficient to guide technical decisions, set a quality bar, and grow team capability.
- Demonstrated ability to grow engineers: coaching, setting expectations, giving actionable feedback, and supporting career progression at multiple levels.
PREFERRED QUALIFICATIONS
- Masters degree or equivalent experience in Computer Science, Machine Learning, or a related field.
- Background as a hands-on engineer in data infrastructure, ML platform, or large-scale backend systems before moving into management.
- Experience hiring and ramping engineers across a range of seniority levels, including senior and staff engineers.
- Exposure to Generative AI development — LLMs, diffusion models, or multimodal systems — either as an individual contributor or as a manager overseeing such work.
- Familiarity with MLOps practices: feature stores, model registries, evaluation pipelines, and deployment workflows.
- Actively tracks emerging AI/ML trends and has a considered view on what’s applicable versus overhyped — and can bring that perspective into team planning conversations.
- Awareness of security, data privacy, and responsible AI concerns specific to AI-backed systems — including bias, safety, and handling of user data in model pipelines.
WHY ADOBE
At Adobe, we are crafting the future of creativity through intelligence. The AI Foundations team combines the agility of a startup with the scale and mission of one of the world’s leading software companies. As an Engineering Manager on this team, you will shape the people, systems, and practices that bring adaptive, autonomous, and human-centered AI to millions of creators worldwide — and develop the next generation of engineering talent along the way.
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.
COMPENSATION
- 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 $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. 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.
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.
Adobe aims to make our Careers website and recruiting process 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 +1 408-536-3015.
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.
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.
INTRODUCTION
Adobe Express enables everyone — individuals and large organizations alike — to produce impressive content effortlessly. The AI Foundations team builds the flexible, scalable AI framework that powers creativity at scale across design, imaging, motion, and personalization.
We are looking for an Engineering Manager to lead and grow a team of engineers building the AI infrastructure for Adobe Express. This role sits at the intersection of technical leadership and people management — you will own the delivery of the AI stack spanning Agentic AI, Imaging AI, Motion AI, and Personalization AI, while developing the engineers who build it. You will partner closely with product, research, and cross-functional engineering teams to shape the technical direction of one of Adobe’s most strategic platforms.
This is an early-level people management role (M30), well suited to someone with a strong engineering foundation who has been leading & managing teams for 3 – 5 years and is looking to deepen their impact through the growth of others and the delivery of high-consequence systems at scale.
ROLE AND RESPONSIBILITIES
Technical direction and delivery:
- Own end-to-end delivery of AI infrastructure workstreams — including LLM orchestration, inference services, data pipelines, and evaluation frameworks — from planning through production.
- Maintain strong enough technical depth to participate in system design reviews, challenge architectural decisions, and unblock your team on complex problems.
- Work with your team to set and meet engineering quality standards: observability, fault tolerance, latency guarantees, security, and responsible AI practices — including bias awareness and data privacy for AI systems.
- Make deliberate, explicit calls on technical debt versus feature velocity, and hold the team accountable to those decisions.
- Develop and communicate a coherent technical roadmap for your area, balancing immediate delivery with sustainable long-term architecture.
Cross-functional partnership:
- Partner with product management & engineering leadership to decompose high-level product requirements into concrete technical requirements — breaking ambiguous asks into scoped workstreams with clear dependencies, effort estimates, and sequencing.
- Drive prioritization across competing demands — balancing new feature work, infrastructure investment, and reliability improvements with a clear, defensible rationale the team and stakeholders can align on.
- Collaborate with AI research, data science, and platform teams to integrate in-house and third-party models and APIs into production-quality serving systems.
- Represent your team’s work and direction to senior stakeholders — communicating progress, risks, and technical trade-offs clearly to both technical and non-technical audiences.
Team leadership and people development:
- Manage and grow a team of 6–10 engineers across varying seniority levels, providing regular coaching, feedback, and career development support.
- Drive a strong hiring bar — own the full recruiting lifecycle for your team, from sourcing through offer, and help build an inclusive, high-performing culture.
- Foster a collaborative, psychologically safe environment where engineers can do their best work and grow into senior and staff roles.
BASIC QUALIFICATIONS
- 3 – 5 years of engineering management experience, with a track record of delivering complex infrastructure or platform projects through a team.
- A strong technical foundation in distributed systems, AI/ML infrastructure, or large-scale service development — enough to earn credibility with senior engineers and make sound architectural trade-offs.
- Experience owning team execution end-to-end — including structured prioritization across competing workstreams, dependency management, and shipping reliably in an agile, fast-moving environment. Can articulate trade-off decisions clearly, not just make them.
- Clear, structured communication skills — able to translate technical trade-offs into business terms for PMs and non-technical stakeholders, and to influence direction without authority across teams.
- Comfort navigating ambiguity: defining scope, making decisions with incomplete information, and adapting plans quickly as systems and priorities evolve.
- Working fluency in modern AI/ML concepts — LLM orchestration, inference infrastructure, prompt engineering, AI output evaluation, and data pipelines — sufficient to guide technical decisions, set a quality bar, and grow team capability.
- Demonstrated ability to grow engineers: coaching, setting expectations, giving actionable feedback, and supporting career progression at multiple levels.
PREFERRED QUALIFICATIONS
- Masters degree or equivalent experience in Computer Science, Machine Learning, or a related field.
- Background as a hands-on engineer in data infrastructure, ML platform, or large-scale backend systems before moving into management.
- Experience hiring and ramping engineers across a range of seniority levels, including senior and staff engineers.
- Exposure to Generative AI development — LLMs, diffusion models, or multimodal systems — either as an individual contributor or as a manager overseeing such work.
- Familiarity with MLOps practices: feature stores, model registries, evaluation pipelines, and deployment workflows.
- Actively tracks emerging AI/ML trends and has a considered view on what’s applicable versus overhyped — and can bring that perspective into team planning conversations.
- Awareness of security, data privacy, and responsible AI concerns specific to AI-backed systems — including bias, safety, and handling of user data in model pipelines.
WHY ADOBE
At Adobe, we are crafting the future of creativity through intelligence. The AI Foundations team combines the agility of a startup with the scale and mission of one of the world’s leading software companies. As an Engineering Manager on this team, you will shape the people, systems, and practices that bring adaptive, autonomous, and human-centered AI to millions of creators worldwide — and develop the next generation of engineering talent along the way.
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.
COMPENSATION
- 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 $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. 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.
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.
Adobe aims to make our Careers website and recruiting process 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 +1 408-536-3015.
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.
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.
See all Engineering Technician Jobs at Adobe
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Engineering Technician Jobs at Adobe.
Get Access To All JobsTips for Finding Engineering Technician Jobs at Adobe
Align your credentials to Adobe's technical stack
Adobe Engineering Technician roles typically require hands-on experience with enterprise software environments, hardware diagnostics, or lab infrastructure. Before applying, map your resume to the specific tools and systems listed in the job posting, not just the general technician category.
Target Adobe's hardware and lab teams
Adobe hires Engineering Technicians across device testing, IT infrastructure, and creative hardware programs. Roles tied to physical lab environments tend to have more predictable hiring timelines than project-based openings, so filter your search by team and location accordingly.
Use Migrate Mate to find visa-sponsorship-confirmed openings
Not every Adobe job posting flags visa sponsorship eligibility upfront. Search Engineering Technician roles on Migrate Mate to surface positions where sponsorship has been confirmed, saving you from pursuing openings that won't move forward for international candidates.
Clarify your OPT or CPT timeline before interviewing
If you're on F-1 status, Adobe's recruiting team will ask about your work authorization timeline early. Know your OPT end date and whether STEM OPT extension applies to your degree before the first screening call, so there's no ambiguity about your availability window.
Understand how Adobe structures H-1B filing after an offer
For H-1B sponsorship, Adobe files the petition after an offer is signed and the USCIS lottery opens in March. If you're already in the U.S. on another valid status, confirm with your future employer whether a cap-exempt pathway or change-of-status filing applies to your situation.
Prepare for Adobe's internal visa review process
Large technology employers route sponsorship requests through immigration counsel before extending formal offers to international candidates. Having your educational credentials, prior visa documentation, and employment history organized in advance reduces delays at this internal review stage.
Frequently Asked Questions
Does Adobe sponsor H-1B visas for Engineering Technicians?
Yes, Adobe sponsors H-1B visas for Engineering Technician roles where the position meets USCIS specialty occupation requirements. The role typically needs to require at least a bachelor's degree in a relevant technical field. Adobe works with immigration counsel to file petitions after an offer is accepted, and sponsorship eligibility is usually confirmed during the recruiter screening stage.
How do I apply for Engineering Technician jobs at Adobe?
You can search and apply for Engineering Technician positions directly through Adobe's careers site or browse verified sponsorship-eligible openings on Migrate Mate. Tailor your application to the specific team, whether that's IT infrastructure, hardware testing, or lab operations, since each has distinct technical requirements. A strong application addresses both the technical skills and your current work authorization status clearly.
Which visa types does Adobe commonly use for Engineering Technician roles?
Adobe sponsors a range of visa types for Engineering Technician positions, including H-1B, E-3 visa for Australian citizens, TN visa for Canadian and Mexican nationals, F-1 OPT and CPT for students, and J-1 visa for exchange visitors. For longer-term employment, Adobe also initiates Green Card processes through EB-2 or EB-3 PERM labor certification for qualifying employees in technical roles.
What qualifications does Adobe expect for Engineering Technician roles?
Adobe generally looks for candidates with an associate's or bachelor's degree in electrical engineering, computer science, information technology, or a closely related field, combined with hands-on experience in hardware, lab environments, or enterprise software systems. Familiarity with Adobe's core product infrastructure or experience in a technology company's internal IT or device testing environment strengthens your application considerably.
How do I plan my timeline around Adobe's visa sponsorship process?
For H-1B sponsorship, the USCIS lottery registration window opens in March each year, with an April 1 start date for cap-subject petitions. If you're already on F-1 OPT, confirm you have enough runway before your authorization expires to clear both Adobe's internal hiring process and the government filing timeline. E-3 and TN visas move faster since they're not subject to the annual lottery and can be processed closer to your start date.