📁 About our client:

Our client is the global leader in regulatory and sustainability intelligence, helping the world's largest companies navigate Environment, Health & Safety, Corporate Sustainability, and Product Compliance.

They are reinforcing their AI capabilities to keep their leadership as an AI-native compliance intelligence platform, with a foundational AI platform built around ontology, data, and platform surfaces, strong CAIO sponsorship, and direct executive air cover for the product layer of the AI transformation.

🚀 Responsibilities:

Product Strategy & Vision

• Own the multi-year product vision and strategy for the AI Intelligence portfolio, aligned with the broader company strategy and the Chief AI Officer's vision.

• Translate foundational platform capabilities (ontology, data, LLM gateway, agentic frameworks) into commercially defensible products, not just internal tooling.

• Sequence the roadmap against the hiring waves so each wave exits with real customer value, not only platform capability.

• Decide what to defer, comfortable saying no in Phase 1 when the critical path doesn't require it.

Team & Leadership

• Hire, onboard, and develop a team of three Product Owners (Ontology, Data, Platform).

• Set the operating rhythm across the three product surfaces and ensure they ladder up to one coherent AI intelligence strategy rather than three parallel tracks.

• Lead by context rather than control, with practiced influence without authority across a squad-based matrix.

Discovery & Market

• Run structured discovery with design partners across EHS, Product Compliance, and Corporate Sustainability.

• Synthesize customer research, capture the voice of the customer, and maintain a continuous read on competitive displacement risk.

• Inform pricing strategy, including usage-based or metered models for platform capabilities.

Technical Partnership

• Partner with enabler squad architects to translate foundational capabilities into productized customer value.

• Challenge architecture where product implications are unclear, and stay out of the way where they are sound.

• Read architecture documents, data models, and ontology schemas well enough to ask the right questions of AI architects.

Stakeholder & External Voice

• Communicate strategy, roadmap, and progress to the CAIO, CPO, CEO, commercial leadership, and customer success.

• Represent the AI Intelligence portfolio externally at conferences, with analysts, with design partners, and in thought leadership.

• Turn complex AI concepts into decisions executives can actually make.
  
  

👤 Profile sought:

Experience:

• Minimum 10 years in product management, with at least 3 years in a product leadership role managing other PMs or POs.

• Track record building AI-native, data-native, or platform products end-to-end, ideally LLM-powered applications, RAG systems, agentic workflows, or knowledge-graph-backed products.

• Experience productizing foundational platform capabilities (APIs, data layers, SDKs, developer experience) alongside end-user surfaces.

• Experience conducting user research and data analysis with enterprise B2B customers.

• Experience operating in Agile / squad-based matrix environments with dedicated enabler squads and applied research teams.
  

Technical skills:

• Working fluency in modern AI product patterns: RAG, vector databases, LLM gateways, prompt registries, evals and guardrails, agentic frameworks, and MCP.

• Comfort reading architecture documents, data models, and ontology schemas.

• Internal tooling: Jira, Confluence, SharePoint. Dragonboat is a plus.

• Solid Office Suite fluency.
  

Bonus:

• Experience under regulatory regimes (EU AI Act or equivalent).

• Background in EHS, Sustainability, Product Compliance, legal tech, or adjacent regulated domains.

• Experience with international business context (international client base and/or international company setup).

• Experience with usage-based or metered pricing models for platform products.
  

Languages:

• Fluent English required.
  

Soft skills:

• Servant-based, people-first leadership style, technically credible without pretending to be the architect.

• Strong communicator across technical and executive audiences.

• Self-motivated, proactive, and current on AI/ML developments.

• Strong opinions, loosely held, with a bias for impact over ceremony.

• Excellent professional presentation skills for internal executives, external design partners, and industry forums.
  
  

🌍 Benefits & Culture:

• AI stack: LLM gateways, vector databases, RAG, agentic frameworks, MCP, ontology and knowledge graphs.

• Direct partnership with the Chief AI Officer and Chief Product Officer, with short feedback loops and real influence on architecture and product direction.

• A seat at a small, high-impact AI leadership team shaping the product layer of a company-wide AI transformation.

• Culture that treats AI as core infrastructure and a compounding moat, not the next chatbot.

• Competitive compensation and flexibility.

• Hybrid in Lisbon's Office role (3 days a week at the office)
  

💼 Department: Product / AI

📍 Location: Lisbon

📆 Start date: ASAP