Description
Adobe Product and Software Security is seeking a dynamic Senior Product Security Engineer to join our expanding team. You will be the frontline responder for external vulnerability reports submitted through the Bug Bounty program, working closely with internal engineering and security teams to ensure timely, accurate triage and resolution.
Responsibilities:
- Triage, validate and reproduce incoming vulnerability reports submitted via the bug bounty platform, assessing validity, impact, and scope.
- Assign CVSS scores and severity ratings accurately, following Adobe’s internal severity guidelines and industry standards.
- Reproduce proof-of-concept (PoC) exploits to validate reported vulnerabilities across web, API, and mobile surfaces.
- Communicate clearly and professionally with external researchers: request clarifications, provide status updates, and manage expectations.
- Coordinate with product engineering teams to route confirmed vulnerabilities for remediation.
- Identify duplicate, out-of-scope, or informational reports and close them with clear, respectful explanations.
- Contribute to internal documentation, triage runbooks, and severity calibration guidelines.
- Flag systemic or critical findings to Bug Bounty team for partner concern as needed.
- Develop dashboards in PowerBI to support data-driven analysis and remediation efforts.
Requirements:
- Bachelor’s degree or equivalent experience in Computer Science, Engineering, or a related field, with 5+ years of practical experience.
- In-depth knowledge of application security vulnerabilities (OWASP Top 10) and mitigation techniques.
- Strong understanding of CVSS v3.1 scoring and hands-on experience applying it to real-world vulnerabilities.
- Proficiency in common web vulnerability classes: XSS, SQL injection, SSRF, IDOR, authentication flaws, and business logic issues.
- Ability to reproduce and validate PoC exploits using tools such as Burp Suite, browser DevTools, curl, and custom scripts.
- Familiarity with bug bounty platforms and responsible disclosure processes.
- Solid written communication skills , able to write clear, constructive responses to researchers of all skill levels.
- Familiarity with attacker techniques used by external researchers against LLM systems and generative AI products.
- Proficiency with JIRA and PowerBI.
- Strong knowledge of LLM (Large Language Model) testing methodologies.
- Hands-on experience in penetration testing of AI/ML and LLM-powered products, including chat interfaces, agentic workflows, and inference APIs.
- Ability to design and complete AI-specific test cases.
- Experience with attacker techniques used by external researchers against LLM systems and generative AI products.
- Experience with a SOAR/orchestration platform (building or extending app connectors and playbooks, understanding action-based automation models).
- API integration literacy (can read a vendor's REST API docs or an OpenAPI/Swagger spec and correctly implement authentication (OAuth2, bearer tokens, API keys), pagination, and error handling).
- Scripting proficiency in Python (comfortable writing and maintaining small, production-quality integration code).
- Event-driven automation (hands-on experience with webhooks, AWS Lambda, and API Gateway, turning real-time platform events into automated downstream actions).
Benefits:
Adobe offers comprehensive benefits programs, including:
- Competitive salary
- Short-term incentives in the form of the Annual Incentive Plan (AIP)
- Long-term incentives in the form of a new hire equity award
Pay Range:
The U.S. pay range for this position is $144,800 - $261,450 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience.