Back to jobs
Adobe10K+ employees

Director, Engineering – Agentic Product

United StatesSalary not listedPosted 8 days ago

Immigration summary

Visa sponsorship

LikelyLow confidence

This employer sponsors, but not for roles like this one.

1,097 recent H-1B filings

View visa evidence

Green card sponsorship

Strong historyMedium confidence

This employer has recently sponsored green cards at scale.

312 recent certified PERM filings

View green card evidence

Job description

The Opportunity

Adobe is reimagining the future of creativity — where generative AI, intelligent agents, and human imagination work hand in hand. As the Director of Engineering, Agentic Product, you will lead the technical execution of Adobe's Agentic Product: the AI-native experience that brings generative models, creative intelligence, and decades of differentiated Adobe capabilities together into a coherent, high-quality product for creators used by hundreds of millions of people every day. You'll partner directly with Product leadership to define, build, and ship agentic experiences that meaningfully change how creators work.

You'll be responsible for the end-to-end product quality of the agent: its capabilities, its behaviors, and the experience it delivers across surfaces. This is a focused, product-minded engineering leadership role — you are accountable for what the agent does and how well it works, not for the underlying platform or ecosystem packaging.

This is a rare opportunity to build a new, AI-native engineering team and practices that will define Adobe's most visible AI product. The right person brings experience leading engineering teams that ship high-quality, user-facing AI experiences, a strong point of view on what "great" looks like for creative AI, and the ability to raise the bar in a space that is moving fast.

Senior Director-level may be considered for those with the right experience and technical depth.

What you'll do

  • Lead the engineering execution of Adobe's Agentic Product — collaborating to define what the agent does, driving the quality of its outputs, and ensuring it ships on a predictable cadence across surfaces. 

  • Grow and lead the engineering team building Agentic Product capabilities, driving technical strategy, team health, and execution velocity. 

  • Partner closely with the Agentic Product Management leads to define technical scope, sequence delivery, and translate product strategy into executable engineering plans. 

  • Lead the design and delivery of agent capabilities spanning in-app creative workflows, multi-step task execution, and context-aware assistance across Adobe's surfaces. 

  • Establish and maintain the quality bar for agent behavior — what good looks like, how it's measured, and how the team systematically improves it over time. 

  • Partner across Adobe's platform and infrastructure teams to ensure the Agentic Product is built with appropriate evals, guardrails, data protection, and the reliability expected of a product at Adobe's scale. 

  • Build and maintain fluency across the emerging agentic standards and model capabilities ecosystem and ensure Adobe's Agentic Product engineering practices evolve with the space. 

What you'll need to succeed

  • A track record of leading and scaling high-performing engineering teams to ship complex, high-quality user-facing AI products at scale. 

  • Deep experience with AI/ML product engineering, including working knowledge of LLM APIs, agent frameworks, and the capabilities and limitations of current generative models in creative contexts. 

  • Hands-on technical expertise: you can engage deeply in architecture decisions, review designs with a substantive point of view, and recognize good and brittle agent behavior at the implementation level — not just the product level. You remain close to the code and the craft. 

  • Strong product sensibility — you have intuitions about user experience, you can look at agent behavior and know when it's good or brittle, and you partner with PM and design as a peer, not a downstream executor. 

  • Strong cross-functional leadership instincts with a history of effective partnership with Product, Design, and platform engineering teams. 

  • Comfort operating in fast-moving, ambiguous environments where the technology, the competitive dynamics, and the user expectations are all rapidly evolving. 

  • Experience with the quality, reliability, and trust requirements that come with shipping AI features to a large consumer and enterprise audience. 

  • Demonstrated ability to lead change management and drive continuous innovation in engineering processes and practices — helping teams adopt new ways of working, internalize new tooling, and stay ahead of a rapidly shifting technical landscape without losing execution focus. 

  • Experience working with LLM providers or contributing to AI product strategy is strongly preferred. 

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.

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.

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 $206,400 - $384,675 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 $265,700 - $384,675


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.

Sponsorship evidence

Why Openbound reached the conclusions above.

Visa sponsorship evidence

Current posting

Silent on sponsorship

Employer H-1B history

1,097
recent certified H-1B filings
632
new-hire petitions
0
filings for similar roles
1,028
so far in FY2026
More evidence details
  • 1,097 recent certified H-1B filings across the employer
  • Still filing this year — 1,028 filings in FY2026
  • 271 USCIS H-1B new-employment approvals, counted separately from LCA filings
  • 1,436 further USCIS approvals for extensions or transfers
  • We checked 728 filing titles for this employer and none describe work like this role
  • The posting says nothing about sponsorship either way
  • No filing activity is recorded for this job's location

Green card sponsorship evidence

Employer PERM history

312
recent certified PERM filings
0
filings for similar roles
Certified PERM filings by fiscal year
2023269
202488
2025463
2026182YTD

Filing history reflects past employer behavior; it isn't a promise for this opening.

All open roles at Adobe
How Openbound evaluates sponsorship

Visa history uses official U.S. Department of Labor H-1B LCA disclosure data and USCIS H-1B petition history. Green card history uses DOL PERM disclosure data. Each is read for the employer as a whole, for roles like this one, and for this location, weighted toward the most recent fiscal years.

An employer is matched to its filing entities by verified legal name and reviewed aliases; a match is never made on a name resemblance alone. Where no verified entity can be matched, the page says so and draws no conclusion from the absence. 728 filing titles were examined for this employer.

What this posting states outranks history in both directions, and an employer's published policy outranks past filings. Filing history reflects past behavior; it is not a promise of sponsorship for this opening, and none of this is legal advice.