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Wave Group seeks a senior AI governance professional to bridge Legal, Engineering, and Security, translating complex regulatory requirements into scalable technical solutions. Your role ensures agentic AI systems remain compliant, auditable, and trustworthy as the company scales across multiple regions.
You will lead the development of risk assessments, monitoring and logging frameworks, and privacy-by-design practices, aligning with GDPR, CCPA/CPRA, LGPD, and PIPL.
Salary: up to ~€120k + up to 35% bonus (~20% standard, rest based on performance)
Equity: up to ~€80k
Location: Madrid (preferred) or Barcelona (1-2 office days)
Company: autonomous AI agents for enterprise clients
This rapidly scaling start-up is building an AI-native platform that lets enterprise clients run high-volume operations through autonomous, conversational agents — voice, chat and messaging, deployed across dozens of countries in over 60 languages, for some of the largest employers in the world.
The company's core technical challenge is multi-agent orchestration that stays rock-solid at scale — reliable, secure and observable whether it's deployed for a healthcare provider in the US or a retailer in Latin America.
Founded by an experienced team with two prior successful exits, backed by a top-tier European VC, and already trusted by household-name enterprise customers.
You'll sit between Legal, Engineering and Security — tracking regulatory requirements across EMEA, US, LATAM and APAC and translating them into concrete technical work, so the company's agentic systems stay compliant, auditable and trustworthy as it scales.
You'll advise Engineering on the compliance features that actually matter — monitoring, logging, audit trails, human oversight, risk classification — and design and maintain the compliance dashboards and metrics (including human-in-the-loop tracking) that give Legal, Security and leadership a clear view of AI risk.
You'll also run AI risk and impact assessments aligned to ISO/IEC 42001 and EU AI Act classifications, own technical GDPR compliance (plus equivalent regimes like CCPA/CPRA, LGPD, PIPL) — data mapping, DPIA support, privacy-by-design — and act as the technical point of contact for enterprise clients on responsible AI: questionnaires, due-diligence workshops, compliance reporting.