Senior Staff Engineer
Adobe Risk Platform (ARP) is Adobe's centralized, adaptive system for detecting, preventing, and mitigating fraud and abuse across products and services, delivering robust security without degrading customer experience. It protects surfaces like Commerce, Stock, and Firefly with real-time risk decisions.
As a Sr Staff Engineer on ARP, you'll set the architectural direction for risk mitigation across Adobe. You'll define the standards, patterns, and long-term technical strategy that let ARP and Adobe stay ahead of fraud and abuse as it evolves.
What you'll do
- Architect systems built for the next three to five years of risk mitigation, while delivering impact iteratively and solving today's most important priorities along the way.
- Push the platform to the forefront of AI and ML to strengthen fraud and abuse detection.
- Lay the foundational building blocks of the Risk Platform that future risk-mitigation capability builds on, including the platform's shift toward event-driven, continuously-reasoning risk intelligence.
- Set architectural standards for risk-decisioning services that other teams across Adobe adopt.
- Share architectural thinking broadly, through design docs that become org-wide standards, white papers, tech talks, or cross-org design reviews.
- Simplify complex, interlinked systems into designs other teams can build on with confidence.
- Mentor senior and staff engineers across teams, growing the next generation of technical leaders.
- Bachelor's or advanced degree in Computer Science or related field, or equivalent experience; Master's preferred.
- 12+ years architecting high-scale, highly performant platforms, and leading the technical teams that build them.
- Deep understanding of AI and ML, both to strengthen fraud detection and to counter AI-powered attacks.
- Deep expertise in distributed systems and databases, including SQL, NoSQL, and DynamoDB-class stores.
- Track record architecting systems with multi-year relevancy, not just solving today's scaling or reliability problem.
- Experience with data lakes and large-scale data platforms like Databricks or Spark.
- Proven ability to influence engineering direction across teams and Business Units without formal authority.
- A track record of publishing or presenting technical work that shaped how others build.
Nice to have
- Experience with graph databases or identity/relationship graphs applied to fraud or abuse detection (e.g., detecting rings, relay networks, or coordinated account abuse via graph traversal).
- Device fingerprinting or AI agent design experience.
- A payments, commerce, or fraud background.
- Familiarity with regulatory and compliance constraints relevant to payments and fraud decisioning (e.g., PCI, regional payment regulations).
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 $173,500 - $331,050 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 $228,600 - $331,050
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.
More jobs at Adobe
- Machine Learning Engineer — San Jose
- Machine Learning Engineer — San Jose
- Lead Applied Researcher, Express AI Foundations — San Jose
- Senior Legal Counsel- Privacy — New York