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AI Product Manager
Перспективная роль в быстрорастущем стартапе (Топ-10 в Нидерландах по версии LinkedIn) с реальным влиянием на продукт. Использование современного стека (AI agents) и гибридный формат работы делают вакансию очень привлекательной.
Сложность вакансии
Роль требует не только классического управления продуктом, но и глубоких технических знаний в области LLM, промпт-инжиниринга и инструментов отладки (LangSmith). Высокая планка ответственности за операционную надежность ИИ-агентов в реальном производстве.
Анализ зарплаты
Предлагаемая роль AI Product Manager в Амстердаме соответствует высокому уровню спроса. Рыночные оценки для специалистов такого профиля в Нидерландах обычно начинаются от 70,000€ для среднего уровня и могут превышать 100,000€ для опытных сотрудников с глубокой экспертизой в ИИ.
Сопроводительное письмо
I am writing to express my strong interest in the AI Product Manager position at Workwize. With over three years of experience in SaaS product management and a deep focus on integrating LLM-based solutions, I am excited by the opportunity to transform IT operations through intelligent automation. My background includes hands-on work with LangChain and LangSmith to trace and optimize agent behavior, which aligns perfectly with your requirement for a product manager who is deeply involved in the technical details of AI production.
In my previous roles, I have successfully shipped AI-powered features by defining complex workflows and prompt strategies that directly improved operational efficiency. I am particularly impressed by Workwize's mission to simplify hardware deployment across 100+ countries. I am confident that my experience in building reliable AI agents and my data-driven approach to product discovery will help Workwize become the most automated platform in the IT asset management space.
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Откликнитесь в workwize уже сейчас
Присоединяйтесь к Workwize и создавайте будущее автоматизации ИТ-инфраструктуры с помощью передовых ИИ-агентов!
Описание вакансии
At Workwize, we’re helping IT teams to easily equip their remote and global teams with all necessary IT equipment. Our automated SaaS platform simplifies hardware deployment, management, and retrieval with fast, reliable deliveries in 100+ countries.
With 50.000 users and 120.000 devices under management, we’re solving hybrid work challenges like laptop deliveries, returns and equipment tracking, allowing IT teams to focus less on manual hassles and more on strategic initiatives.
Join our team to help shape the future of global collaboration. At Workwize, your work will make a real impact in building smarter, more connected workplaces worldwide.
LinkedIn has also recognized Workwize as one of the Top 10 Startups for 2025 in the Netherlands!

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About the Role
We are looking for an AI Product Manager who wants to build intelligent automation into a real, complex operational product. At Workwize, we help companies set up, manage, repair, retrieve, and store IT equipment for distributed teams across 100+ countries. That means lots of workflows, lots of edge cases, and a massive opportunity to use AI to eliminate manual work for IT managers.
In this role, you will own the product vision for how AI agents and automation transform our platform. You will work hands-on with AI tooling to design, build, and continuously improve agents that handle complex operational workflows. This is not a strategy-only role. You will be in the details, working with tools like LangSmith to trace agent behavior, evaluate outputs, and systematically make our AI features more reliable and effective.
If you get excited about building AI agents that actually work in production, and you care about making them better every week, we want to talk to you.
What You Will Do
Strategy & Product Vision • 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.
Build, Ship, Improve • 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.
Collaboration • 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.
What We Are Looking For
- 3+ years of Product Management experience in SaaS, with hands-on experience working on AI/ML-powered products or features in the past years.
- Practical experience with AI/LLM tooling such as LangSmith, LangChain, or similar platforms for building, evaluating, and improving AI agents.
- Strong understanding of how LLMs, AI agents, and prompt engineering work at a product level. You do not need to train models, but you need to understand how to make agents work well and get better over time.
- Experience shipping AI-powered features to production and iterating on them based on real usage data and evaluation results.
- Solid product judgment. You consistently simplify complexity and make good tradeoffs.
- Data-driven decision maker. You are comfortable owning KPIs and using analytics to guide priorities.
- High-ownership operator. You take initiative, unblock teams, and do not wait around for permission.
- Excellent communicator who can translate between technical and business audiences.
Nice to Have
- Experience with operational or logistics-heavy products where automation has a direct impact on efficiency.
- Familiarity with agent design patterns, multi-step workflows, and techniques for improving agent reliability.
- Experience in IT asset management, HR tech, or distributed workforce tooling.
- Comfort with prototyping tools or low-code platforms to quickly test AI concepts.
About Workwize
Workwize is the platform companies use to set up employees anywhere in the world with laptops and office equipment. We handle the full lifecycle: onboarding, repair, retrieval, reselling, decommissioning, and storage of IT devices across 100+ countries. Our customers choose us because we make this easy through software, and our goal is to become the most automated platform in this space.
We are a small, fast-moving team where your work has a direct and visible impact. We value people who ship, who think clearly, and who care about solving real problems.
What We Offer
- Hybrid work environment, balancing office and remote.
- Full working setup with all the tools and equipment you need.
- A fast-paced, entrepreneurial environment where you will have real ownership and impact.
- Weekly team lunches and monthly team events.
- The chance to shape how AI is used across an entire product, not just bolt it onto a feature.
Workwize Offers:
• Flexible hybrid work environment.
• Full working setup with all the tools and equipment you need.
• Vibrant, entrepreneurial culture with opportunities for growth.
• Off-sites and multi-yearly team bonding events.
• Team lunches and surprise events to keep things fun.
• Pension scheme.
• The chance to shape how AI is used across an entire product, not just bolt it onto a feature.
• Classpass corporate membership.
Our Team
Becoming part of Workwize means making an impact. We make sure that we will contribute to the change in the way of working. For us it is also important that we make an impact on our employees, that they feel challenged and ease. We consist of a rapid growing and ambitious team with all different backgrounds. Entrepreneurs, Operational specialists, Developers, Sales gurus you can find them all at Workwize and are always on the look-out for the next original ideas to reach more consumers and create the best value for our customers.
We are looking forward to meeting you and discover if there is a match with the Workwize team!
Создайте идеальное резюме с помощью ИИ-агента

Навыки
- Data Analysis
- Product Management
- Artificial Intelligence
- Machine Learning
- LLM
- SaaS
- Prompt Engineering
- Automation
- LangChain
- LangSmith
Возможные вопросы на собеседовании
Проверка практического опыта работы с инструментами мониторинга ИИ.
Расскажите о вашем опыте использования LangSmith или аналогичных инструментов для отладки поведения ИИ-агентов в продакшене.
Оценка способности кандидата справляться с непредсказуемостью LLM.
Как вы подходите к проектированию 'guardrails' (защитных механизмов) для ИИ-агентов, чтобы минимизировать ошибки в сложных операционных процессах?
Проверка навыков приоритизации в контексте ИИ-технологий.
Как вы определяете, когда задачу стоит решать с помощью ИИ-агента, а когда лучше использовать традиционную автоматизацию на основе правил?
Оценка умения работать с метриками качества ИИ.
Какие KPI вы использовали для оценки эффективности внедренных ИИ-функций и как вы выстраивали циклы обратной связи?
Проверка продуктового мышления в условиях неопределенности.
Опишите случай, когда ИИ-фича показала плохие результаты после запуска. Как вы анализировали причины и какие изменения внесли в продукт?
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