Pinterest
Pinterest

Staff Technical Program Manager, SOX Compliance

engineeringfull-timeSan Francisco, CA, US; Remote, US
SALARY
Not listed
WORK TYPE
remote
JOB TYPE
full-time
INDUSTRY
general
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About the role

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

What you’ll do:

  • Lead strategic compliance engineering programs that span multiple teams and organizations, translating broad risk and control objectives into executable roadmaps, milestones, and measurable outcomes.
  • Build and run operating mechanisms for program health, dependency management, decision-making, and executive visibility across audits, remediation efforts, and control maturity initiatives.
  • Modernize the SOX audit program by transitioning compliance workflows from manual, high-toil evidence collection to AI-driven, automated control monitoring and audit readiness, driving greater efficiency and scalability across the organization.
  • Partner with Engineering and Product as core strategic partners, and work closely with Finance, engineering control owners, and Contractors to align on priorities, sequencing, ownership, and delivery accountability.
  • Drive durable improvements in how the org plans, tracks, and evidences control execution, reducing manual effort and improving consistency, readiness, and trust.
  • Anticipate program and technical risks early, frame trade-offs clearly, and influence leaders through crisp recommendations that balance compliance requirements with engineering pragmatism.
  • Create best practices, tools, and methodologies that raise execution quality for the broader organization, not just for a single program.
  • Use GenAI as the default operating model for EP PgM execution—producing AI-assisted first drafts of core program artifacts, modernizing high-toil workflows into AI-first mechanisms (e.g., intake triage, status synthesis, action/decision extraction, risk & dependency tracking), and synthesizing signals to proactively surface risks, decision/trade-offs, and escalation paths.
  • Prototype solution
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