Privacy Technologist — Hybrid, Impact at Scale

Yahoo Holdings Inc.; Mountain View (CA); Hybrid; USD 129,000 - 281,000; Full time

Benefits offered by this job

Hybrid work options

Job summary

Yahoo Holdings Inc. is seeking an experienced Privacy Technologist to design, implement, and validate privacy-focused systems across advertising and media platforms.

This hands-on role collaborates with privacy counsel, product, security, and engineering teams to translate legal requirements into technical controls and implementation patterns. You’ll assess data minimization, consent propagation, and de-identification while evaluating AI systems and privacy-enhancing technologies throughout the

Qualifications

• 8+ years in privacy engineering, security engineering or related technical field.
• Ability to translate privacy requirements into technical controls.
• Experience with data flows, consent frameworks, and de-identification techniques.

Responsibilities

• Lead privacy reviews across product lifecycles from design to post-launch validation.
• Map data flows across web, mobile, TV, APIs, SDKs, and cloud services.
• Translate legal and policy requirements into technical controls and engineering guidance.
• Design controls for data minimization, consent, retention, and access.
• Test privacy controls using logs, queries, and configuration reviews.
• Evaluate AI/ML lifecycles, including training data governance and model evaluation.

Skills

Privacy engineering

Systems architecture review

Data privacy risk assessment

Communication with engineers

AI governance

Education

Bachelor's degree in a technical field

Tools

SQL

Python

JavaScript

Job description

Yahoo Holdings Inc. is seeking an experienced Privacy Technologist to design, implement, and validate privacy-focused systems across advertising and media platforms.

This hands-on role collaborates with privacy counsel, product, security, and engineering teams to translate legal requirements into technical controls and implementation patterns. You’ll assess data minimization, consent propagation, and de-identification while evaluating AI systems and privacy-enhancing technologies throughout the