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Senior AI Product Owner
Отличная позиция в крупной международной GameTech компании с сильной корпоративной культурой. Предлагается гибридный формат работы, расширенный соцпакет и возможность работать над передовыми AI-решениями в масштабе 20 рынков.
Сложность вакансии
Роль требует сочетания глубоких технических знаний в области ML/MLOps и сильных навыков управления продуктом. Кандидату необходимо понимать специфику работы Data Science команд и уметь выстраивать сложные внутренние платформенные решения.
Анализ зарплаты
Зарплата для Senior Product Owner в Португалии в технологическом секторе обычно выше среднего по рынку, особенно в сфере AI/ML. Указанный диапазон отражает текущие рыночные реалии для опытных специалистов в Лиссабоне.
Сопроводительное письмо
I am writing to express my strong interest in the Senior AI Product Owner position at Kaizen Gaming. With a solid background in technical product management and a deep understanding of the Machine Learning development lifecycle, I am excited about the opportunity to drive the vision for your internal ML platform. My experience in bridging the gap between complex technical requirements and business value aligns perfectly with your mission to empower Data Scientists and ML Engineers.
In my previous roles, I have successfully led agile teams to deliver scalable platform solutions, focusing on reducing friction in the deployment process. I am particularly drawn to Kaizen Gaming's commitment to innovation and its status as a 'Great Place to Work'. I am confident that my expertise in MLOps, combined with a lean startup mindset, will allow me to contribute significantly to your global AI team and help scale your AI capabilities across 20 markets.
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Описание вакансии
We are Kaizen Gaming
Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 20 markets. We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment.
We are a diverse team of more than 2.700 Kaizeners, from 40+ nationalities spreading across 3 continents.
Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there’ll be no average day for you. Ready to Press Play on Potential?
Let's start with the role
As a Product Owner of one of our AI platform teams, you will drive the vision and strategy for our internal Machine Learning platform. In this role, you will product mindset and agile principles to build the Data and ML platform that empowers our internal Data Scientists and ML Engineers. Your mission is to maximize the team’s productivity by removing friction and enabling them deploy resilient, scalable and reliable models to production. This is a unique position that combines technical product ownership skills with a deep understanding of the ML development lifecycle in a high-scale environment.
As an AI Product Owner in the Platform Team, you will:
- Shape the AI platform’s vision and strategy
- Collaborate with our global AI team to discover and define high impact MLOps and data products (e.g. for model serving, observability, feature stores)
- Own and maintain the ΑΙ platform backlog, ensuring impact-driven prioritization, problem validation and alignment with internal stakeholders
- Facilitate and lead the discovery process by running user research sessions and analysing development workflows
- Drive platform adoption by communicating product updates to our internal teams and ensuring the platform solves the operational challenges of our teams
- Define and track platform success metrics (such as cycle time, adoption rate, time-to-deploy, system reliability) in conjunction with product analysts
- Provide vision and direction to the Agile development team translating technical problems into clear actionable user stories
- Create PRDs, epics, experiments and associated documentation;
What you’ll bring:
- 2+ years of experience in a product role within technology, ideally in a B2B, Platform, or Technical Product role
- Understanding of the AI development lifecycle;
- Proven ability to define a set of requirements that pinpoint customer/business challenges and identify improvements to address them;
- Solid experience with agile methodologies;
- Ability to communicate clearly and concisely across technology and business teams;
- A background in technology, machine learning or software development is considered a plus;
- Previous experience with product lean startup or design thinking will be considered an advantage.
Our ideal future co-worker has a strong sense of ownership, takes pride in developing our products and is driven to ensure every customer enjoys a seamless user experience.
Kaizen Gaming Perks
- 🕑 Hybrid model of working;
- 🏃 A buddy will support you with your onboarding;
- 💸 Competitive salary package and bonus scheme;
- 👩⚕️ Health and life insurance for you and your family;
- 💰 Monthly meal allowance
- ⭐ Developmental 360° feedback framework;
- 📚 Unlimited access to Udemy & continuous training
- 🚗 Commuting allowance
- 👨👩👧👦 Family Support.
- #LI-Remote
Recruitment Privacy Notice
Regarding the data you share with us, you may find and read our recruitment privacy notice here.
We are an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, religion, sexual orientation,or age.
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Навыки
- Machine Learning
- MLOps
- Product Management
- Agile
- User Research
- Data Science
- Lean Startup
- Design Thinking
- Software Development
Возможные вопросы на собеседовании
Проверка понимания специфики продукта для внутренних разработчиков.
Как вы определяете приоритеты в бэклоге платформенного продукта, когда запросы инженеров конфликтуют с бизнес-целями компании?
Оценка технических знаний в области жизненного цикла ML.
Какие ключевые метрики вы бы использовали для оценки эффективности MLOps платформы (например, время развертывания или надежность моделей)?
Проверка навыков управления изменениями и внедрения продукта.
Как вы планируете стимулировать внедрение новых инструментов платформы среди команд Data Science, которые привыкли к своим текущим рабочим процессам?
Оценка опыта работы с инфраструктурными решениями.
Опишите ваш опыт работы с Feature Stores или инструментами для мониторинга моделей. Какую проблему они решали в вашем случае?
Проверка навыков работы в Agile-среде.
Как вы транслируете сложные технические проблемы в понятные и выполнимые User Stories для команды разработки?
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