Privacy Technologist

Posted An Hour Ago
Be an Early Applicant
Hiring Remotely in United States of America
Remote
129K-281K Annually
Senior level
AdTech • Digital Media • Information Technology • Other
The Role
Leads technical privacy reviews across advertising, media, AI, identity, and data platforms. Maps data flows, translates privacy requirements into technical controls, validates consent, retention, deletion, access, sharing, and de-identification controls, and drives remediation. Assesses advertising technologies, AI/ML systems, privacy-enhancing technologies, and emerging automation tools. Partners with privacy counsel, engineering, product, security, and data science teams to build scalable privacy engineering standards and continuous validation processes.
Summary Generated by Built In
Yahoo serves as a trusted guide for hundreds of millions of people globally, helping them achieve their goals online through our portfolio of iconic products. For advertisers, Yahoo Advertising offers omnichannel solutions and powerful data to engage with our brands and deliver results.

A Little About Us

Yahoo's Privacy Legal team partners across the business—from advertising technology and AI, to media, communications, search, and commerce—to enable innovation while earning and maintaining user trust. We work alongside engineers, product managers, designers, data scientists, and business leaders from early product design through launch and ongoing operation.
 

About the Role

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 work at the intersection of privacy, engineering, product, AI, identity, analytics, and advertising technology. You will turn privacy requirements and risk decisions into clear technical designs, control specifications, test plans, and reusable implementation patterns. This is a hands-on technical role that partners closely with privacy counsel; it is not primarily a legal-counsel position.
 

Responsibilites

  • 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.


Basic 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.

Preferred Qualifications

  • Deep experience with programmatic advertising, OpenRTB, DSPs, SSPs, publisher systems, identity graphs, clean rooms, or cross-device measurement.
  • Experience with privacy risk or threat-modeling methods and frameworks such as the NIST Privacy Framework, NIST PRAM, LINDDUN, or ISO 31700.
  • Experience implementing or assessing privacy-enhancing technologies, de-identification methods, or re-identification risk.
  • Familiarity with security architecture and controls, including identity and access management, encryption, secrets management, logging, and incident response.
  • Participation in technical standards organizations, open-source privacy projects, or industry privacy working groups.
  • CIPT, CDPSE, CIPP/US, CIPP/E, cloud, security, or comparable certification.

The material job duties and responsibilities of this role include those listed above as well as adhering to Yahoo policies; exercising sound judgment; working effectively, safely and inclusively with others; exhibiting trustworthiness and meeting expectations; and safeguarding business operations and brand integrity.

At Yahoo, we offer flexible hybrid work options that our employees love! While most roles don’t require regular office attendance, you may occasionally be asked to attend in-person events or team sessions. You’ll always get notice to make arrangements. Your recruiter will let you know if a specific job requires regular attendance at a Yahoo office or facility. If you have any questions about how this applies to the role, just ask the recruiter!

Yahoo is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. Yahoo will consider for employment qualified applicants with criminal histories in a manner consistent with applicable law. Yahoo is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. If you need accessibility assistance and/or a reasonable accommodation due to a disability, please submit a request via the Accommodation Request Form (www.yahooinc.com/careers/contact-us.html) or call +1.866.772.3182. Requests and calls received for non-disability related issues, such as following up on an application, will not receive a response.

We believe that a diverse and inclusive workplace strengthens Yahoo and deepens our relationships. When you support everyone to be their best selves, they spark discovery, innovation and creativity. Among other efforts, our 11 employee resource groups (ERGs) enhance a culture of belonging with programs, events and fellowship that help educate, support and create a workplace where all feel welcome.

The compensation for this position ranges from $129,210.00 - $281,305.00/yr and will vary depending on factors such as your location, skills and experience.The compensation package may also include incentive compensation opportunities in the form of discretionary annual bonus or commissions. Our comprehensive benefits include healthcare, a great 401k, backup childcare, education stipends and much (much) more.

Currently work for Yahoo? Please apply on our internal career site.

Skills Required

  • 8+ years of experience in privacy engineering, privacy technology, security engineering, data governance, advertising technology, or another technical role involving complex data systems
  • 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, 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
  • Experience with scripting in Python, JavaScript, or a comparable language
  • 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
  • Experience with digital advertising, identity, measurement, consent frameworks, data collaboration, or other large-scale data ecosystems
  • Ability to communicate with engineers, product leaders, lawyers, data scientists, and business partners through 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
  • Experience assessing AI/ML architectures, including data minimization in RAG pipelines, vector database access controls, training data governance, and model evaluation techniques
  • Practical experience using approved AI productivity and developer tools such as GitHub Copilot or Gemini
  • Responsible and effective use of approved AI tools, including understanding confidentiality, security, validation, and accuracy limitations
  • Deep experience with programmatic advertising, OpenRTB, DSPs, SSPs, publisher systems, identity graphs, clean rooms, or cross-device measurement
  • Experience with privacy risk or threat-modeling methods such as the NIST Privacy Framework, NIST PRAM, LINDDUN, or ISO 31700
  • Experience implementing or assessing privacy-enhancing technologies, de-identification methods, or re-identification risk
  • Familiarity with security architecture and controls, including identity and access management, encryption, secrets management, logging, and incident response
  • Participation in technical standards organizations, open-source privacy projects, or industry privacy working groups
  • CIPT, CDPSE, CIPP/US, CIPP/E, cloud, security, or comparable certification

Yahoo Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Yahoo and has not been reviewed or approved by Yahoo.

  • Healthcare Strength — Health, dental, and vision coverage are available, and the breadth of options is often highlighted as a strong point. Feedback suggests core medical benefits are robust.
  • Retirement Support — A 401(k) with company matching is offered, supporting long-term financial planning. Feedback suggests the retirement program is a notable pillar of the total rewards package.
  • Parental & Family Support — Paid maternity and paternity leave are offered alongside adoption and fertility assistance, with backup childcare mentioned in some listings. Feedback suggests family-focused benefits are a standout aspect of the package.

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The Company
HQ: Sunnyvale, CA
10,001 Employees

What We Do

Yahoo is a global media and tech company that connects people to their passions. We reach nearly 900 million people around the world, bringing them closer to what they love—from finance and sports, to shopping, gaming and news—with the trusted products, content and tech that fuel their day. For partners, we provide a full-stack platform for businesses to amplify growth and drive more meaningful connections across advertising, search and media.

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