Drimva

Clay

Privacy Program Manager

$180K–$230K

San Francisco +1 · Hybrid · Manager · Full-time · Posted Oct 26, 2026

Location
San Francisco
New York
Experience
6 to 8+ years building and running privacy programs or privacy operations at a technology company; ideally high-growth B2B SaaS, data, or AI.
Education
A law degree is not required.

About the job

Build and operate Clay’s privacy program, translating Legal’s standards into processes, assessments, records, tooling, and operational AI governance.

What you'll do

  • Manage privacy program planning, records of processing, privacy and AI assessments, and product-development reviews.
  • Operate AI governance, vendor privacy diligence, privacy-rights requests, retention and deletion workflows, and customer-facing privacy commitments.
  • Automate routine work, train teams, track program metrics, and coordinate with Legal, Engineering, Product, Security, and other teams.

What they ask for

  • Hands-on experience with privacy requests, data mapping, PIAs and DPIAs, vendor diligence, and consent management.
  • Working knowledge of GDPR, UK GDPR, CCPA/CPRA, and other US state privacy laws.
  • AI fluency, including understanding how LLM features and agents use data and applying frameworks such as the EU AI Act.
  • Technical fluency across systems and APIs; track record of building a program from scratch and influencing teams outside your reporting line; clear writing and use of AI and automation; CIPM or equivalent certification.

Nice to have

  • CIPP/E, CIPP/US, CIPT, or AIGP; hands-on AI governance experience, such as AI inventories, AI impact assessments, ISO/IEC 42001, or the NIST AI RMF.
  • Experience in B2B data or enrichment, data partnerships and licensing, privacy platforms such as Transcend, OneTrust, or DataGrail, or Clay/GTM workflows.

Pay

$180K – $230K (base salary)

Tools

Transcend, EU AI Act, ISO/IEC 42001, NIST AI RMF, LLM

AI focus

Operational AI governance: assess AI use, maintain records of AI in products and internal tools, gather evidence on agent controls, keep review conditions and customer guidance current, and automate routine work with AI tools.

Model-written summary · the original posting is authoritative

First seen Oct 27, 2026 · Last verified Nov 4, 2026 (UTC)