Staff Technical Program Manager, SOX Compliance

Pinterest•San Francisco, CA

2d•$145,747 - $300,067•Remote

About The Position

This role is within the Engineering, Product, and Design (EPD) Compliance Technical Program Management team which delivers critical & strategic technical compliance outcomes by directing and scaling engineering effort across organizational and functional boundaries. The programs they lead have most or all of these characteristics: Strategic importance to Pinterest, Distributed ownership, Complexity, Critical technical area or platform. The ideal candidate is an experienced Staff-level Technical Program Manager with deep SOX domain fluency and strong technical judgment, who excels at strategically leading complex, cross-functional programs and influencing senior leadership. This person must also embrace an AI-first execution mindset, leveraging GenAI to streamline program operations while ensuring compliance and safety-by-design.

Requirements

BS in a technical discipline or equivalent experience (7+ years of technical program management or closely related experience leading large-scale technical programs across multiple teams and stakeholders).
Expertise in navigating the complexities of SOX compliance across distributed engineering and business organizations, driving audit readiness through rigorous program management, clear executive reporting, and alignment across diverse control owners.
Experience leading large, cross-functional technical programs with significant ambiguity, senior stakeholder management needs, and outcomes that matter at company level.
Demonstrated ability to influence Engineering, Product, Finance, and other strategic partners through strong judgment, structured execution, and clear communication.
Strong program leadership in environments with complex dependencies, shifting priorities, risk management needs, and a mix of technical and business stakeholders.
Comfort operating deeply in engineering contexts: understanding system constraints, challenging assumptions, surfacing technical risks, and helping teams make sound trade-offs.
Track record of building mechanisms that scale—operating rhythms, governance, templates, tools, and processes that improve quality and predictability across many teams.
AI-first execution mindset: demonstrated ability to use GenAI to accelerate planning, program operations, and stakeholder communications—starting with AI drafts and applying strong judgment to validate, refine, and drive decisions.
Workflow design, AI fluency, data & insights orientation: experience turning repeatable program work into durable, low-toil mechanisms and improving decision-making by using GenAI (e.g., strong prompting, vibe coding lightweight scripts/tools, dashboards, data analysis and leveraging agents where appropriate)
Safety-by-design AI fluency: experience operating within AI governance expectations (risk assessment, data handling, model/output validation, auditability/traceability) and proactively identifying where AI use is not appropriate or requires additional controls.

Nice To Haves

Domain strength in compliance, controls, audit readiness, or similarly regulated/risk-sensitive environments is strongly preferred.

Responsibilities

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 solutions to augment decisions through data (e.g. dashboards, data analysis) or simplify processes (e.g. process and workflow helpers, or internal tools) using AI coding assistants (“vibe coding”).
Follow Pinterest AI guidance for risk, governance, and safety-by-design: appropriately handle sensitive data, validate AI-generated outputs, document assumptions/limits, and ensure AI-assisted workflows meet applicable policy/compliance expectations before broad adoption.