Privacy Technologist: Build Privacy-First Systems

Yahoo; Uz; Hybrid; EUR 115,000 - 251,000; Full time

Benefits offered by this job

Hybrid work options

Healthcare benefits

401k

Backup childcare

Education stipends

Job summary

Yahoo is seeking an experienced Privacy Technologist to design, implement, and validate privacy-respectful systems across our advertising and media businesses. You will translate legal and policy requirements into technical controls, collaborating with privacy counsel, product, and engineering to drive scalable privacy engineering patterns.

This hands-on role covers data minimization, consent, AI governance, and ensuring compliant, privacy-first data practices across complex data ecosystems.

Qualifications

• 8+ years of experience in privacy engineering, privacy technology, security engineering, data governance, advertising technology, or another technical role involving complex data systems.
• Demonstrated ability to review system architectures, trace end-to-end data flows, identify privacy risks, and recommend practical technical mitigations.
• Working knowledge of modern web, mobile, API, cloud, and data-platform architectures, including client-side and server-side processing, cookies and local storage, mobile identifiers, SDKs, event pipelines, and data warehouses.
• Hands-on ability to investigate data and system behavior using SQL and relevant technical tools; scripting experience in Python, JavaScript, or a comparable language is strongly preferred.
• Experience designing or validating technical controls for consent, user preferences, minimization, retention and deletion, access, data sharing, and de-identification.
• Strong understanding of privacy principles and major privacy and AI governance requirements, with the ability to collaborate with counsel and convert requirements into technical outcomes.
• Experience with digital advertising, identity, measurement, consent frameworks, data collaboration, or other large-scale data ecosystems.
• Ability to communicate clearly with engineers, product leaders, lawyers, data scientists, and business partners, including through concise diagrams, requirements, and risk explanations.
• Sound judgment in ambiguous situations and a pragmatic, user-centered approach to balancing privacy risk, technical feasibility, product quality, and delivery speed.
• Demonstrated experience assessing AI/ML architectures, including deep familiarity with data minimization in RAG pipelines, vector database access controls, training data governance, and model evaluation techniques.
• Practical experience utilizing approved AI productivity and developer tools (e.g., GitHub Copilot, Gemini) to accelerate system analysis, script generation, and documentation synthesis.
• Responsible and effective use of approved AI tools, including an understanding of confidentiality, security, validation, and accuracy limitations.

Responsibilities

• Lead technical privacy reviews throughout the product lifecycle, from architecture and data-flow discovery through launch readiness and post-launch validation.
• Map data flows and processing dependencies across web, mobile, connected TV, advertising platforms, APIs, SDKs, data pipelines, cloud services, and third‑party integrations; review and/or produce clear system and data-flow diagrams.
• Translate legal, policy, and product requirements into implementable technical controls, acceptance criteria, and engineering guidance in partnership with privacy counsel, product, security, and engineering teams.
• Design and assess controls for data minimization, purpose limitation, consent and preference propagation, access, retention and deletion, sharing, de-identification, including user-rights and third party data-rights workflows.
• Test and validate privacy controls using system documentation, logs, queries, network traces, configuration reviews, and other appropriate evidence; identify gaps and drive remediation to closure.
• Assess advertising and identity technologies, including programmatic advertising, personalization, identity resolution, first‑party data strategies, retail media, clean rooms, measurement, cookie alternatives, and evolving addressability solutions.
• Evaluate consent and preference signals—including GPC, GPP, and IAB TCF—and help ensure they are collected, transmitted, interpreted, and enforced consistently across systems and partners.
• Assess AI and machine‑learning systems across the data lifecycle, including training and evaluation data, feature generation, inference, retrieval‑augmented generation, agentic workflows, monitoring, and downstream use.
• Evaluate privacy‑enhancing technologies and de‑identification approaches—including differential privacy, aggregation, tokenization, clean‑room controls, and other context‑appropriate techniques—while accounting for utility, operational constraints, and re‑identification risk.
• Build scalable privacy engineering patterns, playbooks, technical standards, review templates, and approved automation or AI‑assisted workflows that help teams ship responsibly and efficiently.
• Identify, test, and institutionalize emerging AI and automation tools to continuously replace repetitive manual reviews with automated compliance assertions and continuous validation pipelines.

Skills

Privacy engineering

Data-flow analysis

System architecture review

SQL

Python/JavaScript scripting

AI governance

Cross-functional collaboration

Tools

GitHub Copilot

Gemini

AI productivity tools

Job description

Yahoo is seeking an experienced Privacy Technologist to design, implement, and validate privacy-respectful systems across our advertising and media businesses. You will translate legal and policy requirements into technical controls, collaborating with privacy counsel, product, and engineering to drive scalable privacy engineering patterns.

This hands-on role covers data minimization, consent, AI governance, and ensuring compliant, privacy-first data practices across complex data ecosystems.