Product Manager

19 часов назад


Киев, Киев, Украина Capgemini Полный рабочий день 120 000 ₴ - 180 000 ₴ в год

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

About The Role

As a Product Manager, you'll be the strategic mastermind connecting the dots between user needs, technological innovation, and business goals on a global scale. If you're passionate about creating products that can improve the travel experience, we'd love to meet you.

What You'll Do on a Typical Day


• Define and execute the product roadmap for AI-powered features, ensuring alignment with business goals (AI & Machine Learning)

• Collaborate with the Engineering Managers and the AI Engineers to develop and deploy machine learning models and GenAI products into production.

• Prioritize all AI initiatives based on impact, feasibility, and alignment with user needs and company strategy.

• Translate complex AI / GenAI / Machine Learning concepts into business-friendly language to communicate effectively with stakeholders.

• Define key success metrics and track their performance over time in collaboration with the team.

• Gather user feedback and analyze market trends to inform future AI-driven features.

What We're Looking For


• 5+ years for a Bachelor's degree or equivalent.

• Solid understanding of AI (GenAI & Machine Learning) fundamentals, including model lifecycle, data quality, and performance metrics.

• Experience collaborating with data scientists and engineers to bring models from concept to production.

• Knowledge of emerging concepts like Machine Learning, agentic and predictive analytics.

• Strong communication skills, including the ability to convey complex and abstract concepts to both technical and business teams, peers, and leadership.

• Data-driven approach by understanding existing key performance indicators and the importance of metrics in defining success.

• Demonstrated ability to understand and lead a cross-functional engineering team in collaboration with the Engineering Manager.

• Influencing skills, including experience working within a large matrix organization.

• Experience working in an agile environment, managing backlogs, and prioritizing using data.

• Knowledge of the business travel domain is appreciated.

What You Will Love About Working Here
  • We care about all our employees and want them to feel as comfortable as possible. That's why we offer them health insurance from the first days, regardless of the probationary period.
  • The gift from the company - Christmas holidays from 25 December to 31 December.
  • Сooperation with Superhumans center and Veteran HUB. Capgemini Engineering has supported the launch of psychological rehabilitation department of Superhumans. Our team also donated over UAH prosthetics for three Ukrainian defenders. Currently, we support psychological counseling provided by the Veteran Hub, and we have implemented an internal policy making the company friendly to military and veterans with the assistance of the Hub.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.


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