💻 Job Title: AI Governance Engineer
💰 Salary: €100-130k + 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
👥 Team: ~30
💸 Funding: ~$25m (Series A)
About the company
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.
About the role
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.
✅ Must have requirements:
- Professional fluency in English and Spanish
- Strong working knowledge of the EU AI Act, ISO/IEC 42001, NIST AI RMF and equivalent regional frameworks — enough to turn Legal's interpretations into concrete technical requirements
- Hands-on engineering background — architecture, code, data flows, model behavior — with the judgment to know when to escalate ambiguous cases to Legal
- Experience advising engineering teams on compliance features: monitoring, logging, audit trails, human oversight, risk classification
- Track record designing and maintaining compliance dashboards/metrics — defining data sources, logic and known limitations
- Working technical knowledge of GDPR (and equivalent regimes — CCPA/CPRA, LGPD, PIPL): data mapping, DPIA support, privacy-by-design
- Comfortable running AI risk/impact assessments and maintaining system documentation aligned with ISO/IEC 42001 and EU AI Act classifications
- Client-facing experience — responsible AI questionnaires, due-diligence workshops, compliance reporting
- Startup pace and mentality - high energy, ownership, proactiveness, hunger to innovate and succeed, comfortable operating with ambiguity
👍 Bonus points for:
- Additional fluency in French, Portuguese or Italian
- Experience monitoring the regulatory landscape across multiple regions (EMEA, US, LATAM, APAC) and flagging business/platform impact early
- Prior in-house AI governance role at an AI-native or agentic-AI company, rather than pure consulting/advisory
- Certifications such as CDMP/DAMA, ISO 42001 lead implementer/auditor, or similar