Audit & QA CSV / Compliance Manager

Role Overview\nTilda 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.\n\nThis 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.\n\nThe 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.\n\nThis 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.\n\nKey Responsibilities\nCustomer Audits & Qualification Management\nOwn end-to-end customer audit and qualification workflows, including security reviews, due diligence requests, and compliance questionnaires\nLead the preparation and delivery of customer-facing audit responses with a focus on accuracy, completeness, and timeliness\nCoordinate cross-functional evidence gathering across Engineering, Product, Security, Legal, and Operations\nServe as the primary point of contact for customer audit follow-ups and remediation discussions\nProactively identify compliance gaps and drive corrective actions to meet customer and regulatory expectations\n\nAudit Readiness & Compliance Operations\nSupport and maintain readiness for external audits such as SOC 2, ISO 27001, HIPAA, and related frameworks\nMaintain compliance documentation, policies, controls, and evidence repositories\nCoordinate audit timelines, deliverables, and interactions with external auditors\nAssist in developing scalable internal audit, validation, and quality review processes\nPartner with leadership to mature compliance and governance programs as the company scales\n\nAI Quality Assurance & Model Governance\nDefine and implement fit-for-purpose QA frameworks for AI and machine learning systems\nEstablish processes for model evaluation, validation, monitoring, and performance consistency\nPartner with Engineering to implement AI guardrails including validation layers, confidence thresholds, and human-in-the-loop review processes\nSupport customer and audit conversations related to AI reliability, explainability, traceability, and risk mitigation\nEnsure AI outputs are defensible, transparent, and audit-ready\n\nSoftware Quality & Validation\nCollaborate closely with Engineering to integrate quality and compliance practices into software development workflows\nSupport Computer System Validation (CSV) activities and Quality Management System (QMS) alignment\nContribute to validation planning, release governance, testing oversight, and traceability management\nEnsure alignment between URS, FS, RTM, validation documentation, and deployed system functionality\nTranslate technical platform details into clear, audit-ready documentation\n\nPlatform Controls & Risk Oversight\nOversee platform-level audit trails and system control integrity\nMonitor role and permission changes, privileged access activity, configuration updates, and system anomalies\nEnsure audit logging and traceability remain effective across releases and platform updates\nApply risk-based decision-making frameworks to audit findings, validation activities, and system changes\nTrack remediation efforts and corrective actions through closure, including CAPA-related activities\n\nCross-Functional Leadership\nAct as the operational bridge between Engineering, Product, Legal, Security, and GTM teams\nDrive alignment on compliance priorities, timelines, deliverables, and dependencies\nFacilitate recurring audit readiness and validation reviews across teams\nSupport training alignment and access governance processes tied to compliance requirements\n\nRequired\n5+ years of experience in Audit, QA, Compliance, CSV, or Validation roles within SaaS, software, AI, or regulated technology environments\nStrong hands-on experience with:\nComputer System Validation (CSV)\nQuality Management Systems (QMS)\nGood Clinical Practice (GCP)\nDeep understanding of software development lifecycles, engineering workflows, and modern SaaS architectures\nExperience supporting AI/ML systems, including model validation, quality assessment, or governance frameworks\nProven track record managing customer audits, security questionnaires, and compliance reviews\nExperience with validation traceability, audit readiness, and regulated system controls\nFamiliarity with compliance frameworks such as SOC 2, ISO 27001, HIPAA, and Part 11 concepts\nStrong project management and cross-functional coordination capabilities\nExcellent written and verbal communication skills with the ability to engage directly with customers and auditors