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Closed
Amsterdam
24 May 2026
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AI Product Manager

Workwize

Closed
Amsterdam
24 May 2026
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AI Product Manager

Workwize is seeking an AI Product Manager to own the AI roadmap and build intelligent automation into their operational SaaS platform for IT equipment management. The role requires 3+ years of PM experience in SaaS with hands-on AI/ML experience, practical knowledge of AI/LLM tooling like LangSmith, and a data-driven, high-ownership mindset. You will define agent behavior, ship AI features to production, and improve reliability over time.

On-siteFull-timeMid LevelAI/MLLangSmith

AI Product Manager

Workwize is seeking an AI Product Manager to own the AI roadmap and build intelligent automation into their operational SaaS platform for IT equipment management. The role requires 3+ years of PM experience in SaaS with hands-on AI/ML experience, practical knowledge of AI/LLM tooling like LangSmith, and a data-driven, high-ownership mindset. You will define agent behavior, ship AI features to production, and improve reliability over time.

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On-siteFull-timeMid LevelAI/ML

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

On-site

Experience Required

3 years

Employment Type

Full-time

Experience Level

3+ years of Product Management experience

Core Qualifications

Technical (Must-have)
AI/MLLangSmithLangChainLLMsAI agentsprompt engineering
Soft Skills
product judgmentdata-driven decision makinghigh ownershipcommunicationsimplifying complexity
Tools (Must-have)
LangSmithLangChain

Preferred Qualifications

Technical (Nice-to-have)
prototyping toolslow-code platforms

Key Responsibilities

  • •Own the AI roadmap and identify where AI can automate and improve operational workflows.
  • •Track advances in AI agents and automation and turn them into clear product bets.
  • •Partner with Engineering to design and ship AI-powered features into production.
  • •Define agent behavior (workflows, prompts, guardrails) and handle edge cases.
  • •Own production quality: monitor performance, investigate failures, and improve reliability.
  • •Set up evaluation and feedback loops and track KPIs (time saved, accuracy, adoption, customer satisfaction).
  • •Partner with Engineering, Operations, and Customer Success to align priorities and deliver outcomes.
  • •Run ongoing discovery with internal teams and customers.
  • •Communicate plans, progress, and results to leadership and the wider team.
AI Product ManagerSaaSIT equipment managementAI agentsautomationLangSmithLLMAmsterdamfull-timeon-site
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