Hybrid Privacy Engineer for AI, Ads & Data

Yahoo Holdings Inc.; New York (NY); Hybride; USD 129 000 - 281 000; Plein temps

Avantages offerts par ce poste

Flexible hybrid work options

Résumé du poste

Yahoo is seeking an experienced Privacy Technologist to help teams design, implement, and validate privacy‑respectful systems and data practices across our advertising and media businesses.

You will turn privacy requirements and risk decisions into clear technical designs, control specifications, test plans, and reusable implementation patterns in partnership with privacy counsel, product, security, and engineering teams.

Qualifications

• 8+ years of experience in privacy engineering or related technical roles.
• Ability to review architectures and data flows to identify privacy risks.
• Knowledge of web, mobile, API, cloud, and data‑platform architectures.
• Hands‑on with SQL and scripting (Python/JavaScript) preferred.
• Experience designing or validating technical controls for consent and data minimization.
• Understanding of privacy and AI governance requirements.

Responsabilités

• Lead privacy reviews across product lifecycles from architecture to post‑launch validation.
• Map data flows across web, mobile, ads platforms, APIs, SDKs, and cloud services.
• Translate legal and policy requirements into technical controls and engineering guidance.
• Design and assess controls for data minimization, consent, retention, and de‑identification.
• Test privacy controls and identify remediation gaps.
• Evaluate AI/ML data lifecycles and privacy risks.

Connaissances

Privacy engineering

Data governance

SQL

Python

JavaScript

Privacy risk assessment

AI governance

Communication

Outils

GitHub Copilot

Gemini

Description du poste

Yahoo is seeking an experienced Privacy Technologist to help teams design, implement, and validate privacy‑respectful systems and data practices across our advertising and media businesses.

You will turn privacy requirements and risk decisions into clear technical designs, control specifications, test plans, and reusable implementation patterns in partnership with privacy counsel, product, security, and engineering teams.