Role Overview
Tilda Research is seeking an experienced Audit & QA CSV / Compliance Manager to lead customer audit readiness, software quality oversight, validation strategy, and compliance operations across our AI-driven platform.
This role sits at the intersection of Engineering, Product, Security, and Compliance and requires a strong understanding of modern SaaS platforms, Computer System Validation (CSV), Quality Management Systems (QMS), and AI quality frameworks.
The ideal candidate combines technical depth with operational rigor and has experience supporting regulated or compliance-driven environments where audit readiness, traceability, and system integrity are critical.
This individual will serve as the primary owner of customer audit workflows, platform validation oversight, and AI quality assurance initiatives while helping scale Tilda’s overall compliance maturity.
Key Responsibilities
Customer Audits & Qualification Management
- Own end-to-end customer audit and qualification workflows, including security reviews, due diligence requests, and compliance questionnaires
- Lead the preparation and delivery of customer-facing audit responses with a focus on accuracy, completeness, and timeliness
- Coordinate cross-functional evidence gathering across Engineering, Product, Security, Legal, and Operations
- Serve as the primary point of contact for customer audit follow-ups and remediation discussions
- Proactively identify compliance gaps and drive corrective actions to meet customer and regulatory expectations
Audit Readiness & Compliance Operations
- Support and maintain readiness for external audits such as SOC 2, ISO 27001, HIPAA, and related frameworks
- Maintain compliance documentation, policies, controls, and evidence repositories
- Coordinate audit timelines, deliverables, and interactions with external auditors
- Assist in developing scalable internal audit, validation, and quality review processes
- Partner with leadership to mature compliance and governance programs as the company scales
AI Quality Assurance & Model Governance
- Define and implement fit-for-purpose QA frameworks for AI and machine learning systems
- Establish processes for model evaluation, validation, monitoring, and performance consistency
- Partner with Engineering to implement AI guardrails including validation layers, confidence thresholds, and human-in-the-loop review processes
- Support customer and audit conversations related to AI reliability, explainability, traceability, and risk mitigation
- Ensure AI outputs are defensible, transparent, and audit-ready
Software Quality & Validation
- Collaborate closely with Engineering to integrate quality and compliance practices into software development workflows
- Support Computer System Validation (CSV) activities and Quality Management System (QMS) alignment
- Contribute to validation planning, release governance, testing oversight, and traceability management
- Ensure alignment between URS, FS, RTM, validation documentation, and deployed system functionality
- Translate technical platform details into clear, audit-ready documentation
Platform Controls & Risk Oversight
- Oversee platform-level audit trails and system control integrity
- Monitor role and permission changes, privileged access activity, configuration updates, and system anomalies
- Ensure audit logging and traceability remain effective across releases and platform updates
- Apply risk-based decision-making frameworks to audit findings, validation activities, and system changes
- Track remediation efforts and corrective actions through closure, including CAPA-related activities
Cross-Functional Leadership
- Act as the operational bridge between Engineering, Product, Legal, Security, and GTM teams
- Drive alignment on compliance priorities, timelines, deliverables, and dependencies
- Facilitate recurring audit readiness and validation reviews across teams
- Support training alignment and access governance processes tied to compliance requirements
Required
- 5+ years of experience in Audit, QA, Compliance, CSV, or Validation roles within SaaS, software, AI, or regulated technology environments
