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Amsterdam
1 week ago
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AI Product Manager

Workwize

Amsterdam
1 week ago
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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 SaaS platform for IT equipment management. The role involves hands-on work with AI tooling like LangSmith, defining agent behavior, and improving production quality. Requires 3+ years of Product Management experience in SaaS with AI/ML product experience.

Core AIRemoteFull-timeMid LevelProduct ManagementSaaS

AI Product Manager

Workwize is seeking an AI Product Manager to own the AI roadmap and build intelligent automation into their SaaS platform for IT equipment management. The role involves hands-on work with AI tooling like LangSmith, defining agent behavior, and improving production quality. Requires 3+ years of Product Management experience in SaaS with AI/ML product experience.

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Core AIRemoteFull-timeMid LevelProduct Management

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Remote

Experience Required

3 years

Employment Type

Full-time

Experience Level

3+ years of Product Management experience

Core Qualifications

Technical (Must-have)
Product ManagementSaaSAI/MLLangSmithLangChainLLMsAI agentsPrompt engineeringAnalyticsKPIsData-driven decision makingCommunication
Soft Skills
Product judgmentHigh-ownershipInitiativeCommunicationCollaborationEntrepreneurial mindset

Preferred Qualifications

Technical (Nice-to-have)
Operational or logistics-heavy productsAgent design patternsMulti-step workflowsIT asset managementHR techDistributed workforce toolingPrototyping toolsLow-code platforms

Key Responsibilities

  • •Own the AI roadmap and identify where AI can automate and improve operational workflows across the Workwize platform.
  • •Track relevant 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 real-world edge cases across customers and regions.
  • •Own production quality: monitor performance, investigate failures, and improve reliability over time.
  • •Set up evaluation and feedback loops, and track KPIs such as time saved, accuracy, adoption, and customer satisfaction.
  • •Partner with Engineering, Operations, and Customer Success to understand workflows, align priorities, and deliver outcomes.
  • •Run ongoing discovery: talk to internal teams and customers, validate ideas quickly, and iterate based on results.
  • •Communicate plans, progress, and results clearly to leadership and the wider team.
AI Product ManagerSaaSAI agentsAutomationIT equipment managementRemoteFull-timeAmsterdamStartupProduct Management
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