Senior Product Security Engineer

Adobe

Senior Product Security Engineer at Adobe, designing and delivering AI-driven security features and leading teams on security practices. Focus on risk management and enhancing product architecture.

Posted 7/24/2026full-timeNew York City • California, New York • 🇺🇸 United StatesSenior💰 $144,800 - $261,450 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and delivering AI-driven security features while balancing security, speed, and user experience. Proficient in Secure SDLC practices and mentoring engineers in a collaborative environment.

Highest-signal resume keywords

AI-Driven Security FeaturesSecure SDLC PracticesFluency In PythonFluency In JavaScriptProduction AI Systems With LLMs

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Software DevelopmentFull-Stack DevelopmentBackend DevelopmentApplication SecurityThreat Modeling

Soft Skills

Mentoring EngineersAligning TeamsExplaining Risk

Tools & Technologies

ReactPython FastAPICeleryPostgresRedisKubernetesAzureCI/CD PipelinesGit

Certifications & Qualifications

Bachelor's Degree In Computer ScienceBachelor's Degree In Engineering

Industry Keywords

AI RisksPrompt InjectionData ExposureOutput Manipulation

Tech Stack

Tools & technologies

AzureCloudJavaScriptKubernetesPostgresPythonReactRedisSDLC

About the role

Key responsibilities & impact

Own the design and delivery of AI-driven security features
Shape the architecture of the team's platforms across React, Python FastAPI, Celery, Postgres, Redis, and Kubernetes
Lead the team's approach to AI risks like prompt injection, data exposure, and output manipulation
Guide product security engineers, developers, and product teams as a technical partner
Balance security, speed, and user experience through defensible risk-based decisions

Requirements

What you’ll need

Bachelor's degree or equivalent practical experience in Computer Science, Engineering, or a related field
6 or more years in software development, including full-stack or backend work
Command of Secure SDLC practices, application security, threat modeling
Fluency in Python and JavaScript, with React preferred
Hands-on experience building production AI systems with LLMs
Familiarity with cloud platforms, preferably Azure, plus containers, CI/CD pipelines, Git
Skill in aligning teams and explaining risk to technical and non-technical audiences
Experience mentoring engineers

Benefits

Comp & perks

Health insurance
401(k)
Paid time off
Flexible work arrangements
Professional development
Remote work options