Lead the internal AI Council, acting as a high-visibility advisor to the C-suite to define the agenda for AI adoption, ethics, and investment.
Define the requirements for a centralized orchestration layer, ensuring AI agents can securely 'read and write' to core systems via MuleSoft and native API integrations.
Ensure AI frameworks are built on high-fidelity data, moving from fragmented 'Shadow AI' to a governed, world-class Internal AI Gateway.
Lead the 'Buy vs. Build' strategy while embedding automated security guardrails into the platform’s DNA.

7-10+ years in Product Management, specifically in Enterprise Platforms, Data Products, or Systems Architecture.
Deep AI/ML & Data Mastery: A functional understanding of how generative AI tools, LLMs, and RAG work, and the critical importance of data hygiene.
Integration Literacy: Deep understanding of MuleSoft (or similar middleware) as the connectivity tissue for AI agents.
Governance Strength: Proven track record of leading AI ethics, responsible AI, and data governance.
Executive Presence: Ability to partner closely across business functions (Sales, Marketing, Finance, Legal) and influence C-Suite stakeholders.

Company Stock Options (Every employee is an owner in the company)
Great Health Benefits (Medical, Dental, Fertility)
Paid Family and Caregiver’s Leave
Employee Assistance Program
Generous Vacation Time (Who doesn’t like time off)
€435 one-time work from home allowance
4 Company Wellness Days a year
Free subscription to Calm
Pension, 5% company match
On-going education through LinkedIn Learning, Workday Learning and our Career Growth Portal

Principal AI Product Manager – Internal AI Strategy, Platforms

Key skills