Principal AI Product Manager: Transformation & Delivery

Equal Experts; Amsterdam; On-site; EUR 140,000 - 190,000; Full time

Job summary

Equal Experts in Amsterdam is seeking a Principal Product Manager AI to lead AI product strategy on client engagements. You'll also work hands-on as a Product Manager, setting priorities for AI-powered products and judging where AI is the right tool.

Collaborating with Engagement Managers, Delivery Leads, Data Scientists and Engineers, you’ll define the AI vision, set success metrics, manage risks such as bias and privacy, and translate technical AI concepts into business value.

Qualifications

• Understanding of the ML/AI lifecycle and how to challenge delivery teams.
• Familiar with LLMs, RAG, prompting, agents and model evaluation.
• Awareness of responsible AI, data governance and relevant regulation.
• Experience with Lean/Agile methods.
• Clear communicator who explains AI to non-technical stakeholders.
• Experience coaching or mentoring others.
• Ability to balance internal practice work with client delivery.

Responsibilities

• Define the AI product vision for clients and decide where AI fits as the right tool.
• Set product priorities based on cost, risk, value and user needs.
• Set success metrics and quality thresholds for AI features.
• Collaborate with data scientists and ML engineers to deploy solutions safely.
• Build strong relationships across client organisations.
• Manage AI risks including bias, privacy and regulatory compliance.
• Translate between technical AI concepts and business value.
• Make pragmatic calls balancing ideas against cost and risk.

Skills

ML/AI lifecycle

LLMs / prompting

Responsible AI

Lean / Agile

Clear communication

Coaching / mentoring

Internal vs client balance

Job description

Equal Experts in Amsterdam is seeking a Principal Product Manager AI to lead AI product strategy on client engagements. You'll also work hands-on as a Product Manager, setting priorities for AI-powered products and judging where AI is the right tool.

Collaborating with Engagement Managers, Delivery Leads, Data Scientists and Engineers, you’ll define the AI vision, set success metrics, manage risks such as bias and privacy, and translate technical AI concepts into business value.