Product Security Engineer

Adobe

Confirmed live 3 days ago High trust

Quick summary

Work type
On-site
Location
New York, NYSan Jose, CASeattle, WA
Salary
$149,400–$216,300 / yr
Posted
116 days ago
Freshness
Confirmed live 3 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $182k
This role $183k
$119k most similar roles pay here $236k

This role pays more than 56% of similar roles. Most pay $149,500–$213,812 — the shaded band above. At the midpoint, this role pays about $183k versus about $182k for comparable roles.

Based on 240 similar postings.

Employer

About Adobe

Adobe Inc. is a global software company known for creative and multimedia software products including Photoshop, Illustrator, Acrobat, and its cloud-based Creative Cloud and Document Cloud suites. Industry: Creative & Digital Experience Software

Adobe currently has 218 open roles on FindRole.

Listed pay typically runs $187,100–$270,950 across 216 roles with salary data.

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At a glance

TL;DR · Product Security Engineer

Product Security Engineer The Product Security Engineer joins the Security Partnership Product Engineering team to build AI-powered platforms that secure internal products. This role involves designing AI-driven features, making risk-based decisions to balance security with engineering velocity, and partnering with cross-functional teams to translate requirements into scalable features. You will develop security analysis capabilities using LLM integrations with Azure OpenAI, prompt engineering, retrieval-augmented generation, and vector-based context retrieval. The technical stack includes React, Python FastAPI, Celery, Postgres, Redis, and Kubernetes with Argo. Key responsibilities include managing AI-specific risks like prompt injection and data exposure while ensuring the reliability of automated outputs. Candidates should possess expertise in Python, JavaScript, and Secure SDLC practices. This role addresses the challenge of securing a diverse product portfolio by building tools for threat modeling and identifying security gaps through advanced AI technologies.

What you'll do

  • Build security analysis capabilities using LLM integrations, prompt engineering, and retrieval-augmented generation.
  • Develop and maintain full-stack platforms using React, Python FastAPI, Celery, Postgres, Redis, and Kubernetes.
  • Evaluate LLM and retrieval outputs to ensure accuracy and reliability for internal users.
  • Mitigate AI-specific risks such as prompt injection, data exposure, and output manipulation.
  • Make architectural decisions that balance performance, scalability, and responsible AI usage.
  • Identify security gaps with internal users and propose features to address them.
  • Translate requirements from security and product teams into scalable technical features.

What we're looking for

  • Bachelor’s degree or equivalent practical experience in Computer Science, Engineering, or a related field.
  • 4 to 6 years of software development experience, including full-stack or backend systems.
  • Proficiency in Python and JavaScript with preferred experience in React.
  • Experience with AI systems, including LLMs, prompt engineering, Azure OpenAI, and vector databases.
  • Understanding of AI-specific risks such as prompt injection, hallucination, and data exposure.
  • Solid foundation in Secure SDLC practices, application security, and threat modeling.
  • Familiarity with cloud platforms (preferably Azure), containerized deployments, and CI/CD pipelines.
  • Ability to make risk-based architectural decisions and communicate technical risks clearly.

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