Audit & QA CSV / Compliance Manager

Role OverviewTilda 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 ResponsibilitiesCustomer Audits & Qualification ManagementOwn end-to-end customer audit and qualification workflows, including security reviews, due diligence requests, and compliance questionnairesLead the preparation and delivery of customer-facing audit responses with a focus on accuracy, completeness, and timelinessCoordinate cross-functional evidence gathering across Engineering, Product, Security, Legal, and OperationsServe as the primary point of contact for customer audit follow-ups and remediation discussionsProactively identify compliance gaps and drive corrective actions to meet customer and regulatory expectationsAudit Readiness & Compliance OperationsSupport and maintain readiness for external audits such as SOC 2, ISO 27001, HIPAA, and related frameworksMaintain compliance documentation, policies, controls, and evidence repositoriesCoordinate audit timelines, deliverables, and interactions with external auditorsAssist in developing scalable internal audit, validation, and quality review processesPartner with leadership to mature compliance and governance programs as the company scalesAI Quality Assurance & Model GovernanceDefine and implement fit-for-purpose QA frameworks for AI and machine learning systemsEstablish processes for model evaluation, validation, monitoring, and performance consistencyPartner with Engineering to implement AI guardrails including validation layers, confidence thresholds, and human-in-the-loop review processesSupport customer and audit conversations related to AI reliability, explainability, traceability, and risk mitigationEnsure AI outputs are defensible, transparent, and audit-readySoftware Quality & ValidationCollaborate closely with Engineering to integrate quality and compliance practices into software development workflowsSupport Computer System Validation (CSV) activities and Quality Management System (QMS) alignmentContribute to validation planning, release governance, testing oversight, and traceability managementEnsure alignment between URS, FS, RTM, validation documentation, and deployed system functionalityTranslate technical platform details into clear, audit-ready documentationPlatform Controls & Risk OversightOversee platform-level audit trails and system control integrityMonitor role and permission changes, privileged access activity, configuration updates, and system anomaliesEnsure audit logging and traceability remain effective across releases and platform updatesApply risk-based decision-making frameworks to audit findings, validation activities, and system changesTrack remediation efforts and corrective actions through closure, including CAPA-related activitiesCross-Functional LeadershipAct as the operational bridge between Engineering, Product, Legal, Security, and GTM teamsDrive alignment on compliance priorities, timelines, deliverables, and dependenciesFacilitate recurring audit readiness and validation reviews across teamsSupport training alignment and access governance processes tied to compliance requirementsRequired5+ years of experience in Audit, QA, Compliance, CSV, or Validation roles within SaaS, software, AI, or regulated technology environmentsStrong hands-on experience with:Computer System Validation (CSV)Quality Management Systems (QMS)Good Clinical Practice (GCP)Deep understanding of software development lifecycles, engineering workflows, and modern SaaS architecturesExperience supporting AI/ML systems, including model validation, quality assessment, or governance frameworksProven track record managing customer audits, security questionnaires, and compliance reviewsExperience with validation traceability, audit readiness, and regulated system controlsFamiliarity with compliance frameworks such as SOC 2, ISO 27001, HIPAA, and Part 11 conceptsStrong project management and cross-functional coordination capabilitiesExcellent written and verbal communication skills with the ability to engage directly with customers and auditors

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