Adobe

Staff Cyber Threat Hunter

San Jose Full time

Our Company

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!


 

The Challenge

As a Staff Cyber Threat Hunter, you will direct proactive threat hunting campaigns to reveal advanced adversary activity that avoids standard defense mechanisms. You will act as a self-motivated technical leader. You will lead in-depth hunts and convert uncertain signals into justifiable conclusions. You will evolve findings into scalable improvements related to threat identification and prevention.

This role suits someone passionate about cybersecurity who enjoys ongoing learning, contemporary data analysis, and creating solutions to lower attacker dwell time and business risk.

What You Will Do

  • Lead hunt campaigns: threat model, scope, implement, and complete high-complexity hunting campaigns informed by threat intelligence and business risk. Document hunting approach, research, and outcomes with actionable insights for long-term knowledge retention.
  • Apply data-driven techniques: leverage statistical and ML-based hunting methods to analyze large datasets, identify anomalies, and surface weak signals at scale.
  • Operationalize results: partner with Detection Engineering to convert hunt findings into durable detections, analytics, and improved instrumentation.
  • Build automation: develop simple tools and automated solutions to fast-track hunting and investigation workflows through Python, APIs, and up-to-date development methods.
  • Collaborate broadly: work closely with CSIRT, Threat Intelligence, Red Team, Security Engineering, and product teams to create multi-functional security impact.
  • Communicate clearly: distill complex investigations and risk into clear, actionable updates for technical collaborators and senior leadership.
  • Mentor others: share knowledge and guidelines to raise the overall maturity and efficiency of the threat hunting program.

What You Need

  • Staff-level expertise: demonstrable ability to operate independently in unstructured problem spaces and lead complex technical investigations.
  • Deep hunting experience: strong background investigating modern environments (cloud, Kubernetes, endpoints, CI/CD, identity, networking) and applying adversary TTP knowledge.
  • Passion for cybersecurity: genuine enthusiasm for threat hunting and staying current with evolving threats, attacker innovation, and defensive techniques.
  • Continuous learner: actively keeps skills updated with new technology trends, including AI-enabled systems and emerging AI-related threats.
  • Engineering approach: experience building automation and workflow improvements using Python, APIs, Git, and CI/CD pipelines.
  • Query expertise: advanced proficiency with SIEM and data platform query languages such as SPL, SQL, KQL, or equivalent.
  • ML-aware approach: understanding of ML and statistical concepts (e.g., anomaly detection, baselining) and how to apply them in threat hunting.
  • Experience: Over 10 years in cybersecurity specializing in detection and response.

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 $168,200 -- $310,100 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 $214,100 - $310,100 In Washington, the pay range for this position is $194,000 - $281,000

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.