About Qualifyze
Founded in 2019, Qualifyze is a leading company in supply chain compliance management in the Life Sciences industry, trusted by over 1,200 pharmaceutical and healthcare companies globally. Our digital suite of solutions connects manufacturers, suppliers, and a global network of more than 250 auditors and quality experts. With a track record of over 3,000 audits across 85+ countries and the largest and most accurate supplier network and data analytics tools, Qualifyze stands as the all-in-one partner for quality compliance and supply chain risk mitigation in the Life Sciences sector. After securing a Series-B funding in September 2024, Qualifyze is now focused on expanding to the US market.
What we are looking forThe Data Product Manager role will play a pivotal role in shaping and driving the evolution of our data capabilities and AI solutions. As we expand our value proposition into Data and AI, you will be part of a dedicated Engineering team, working closely with Data Engineers and Data Scientists to build our data infrastructure and AI/ML capabilities. This position is crucial for enabling our scaling of data sources, managing data quality at scale, and driving the implementation of AI-driven solutions that bring business value. If you have a strong technical background and a passion for data-driven product management, this could be the perfect opportunity for you.
Main ResponsibilitiesDefine the product vision and strategy for data and AI-related projects, ensuring alignment with business objectives.Collaborate closely with engineering and data science teams to build and scale our data infrastructure and AI/ML capabilities.Prioritize and manage the product roadmap, including the preparation of initiatives, epics, and user stories for the team to implement.Drive the integration and management of various data sources, ensuring data quality, consistency, and accessibility.Serve as the main point of contact for stakeholders, translating business requirements into technical specifications and communicating the value of data and AI initiatives.Contribute to the adoption and implementation of AI/ML models and tools, such as Chat GPT, Amazon Bedrock, and other industry-specific solutions.Lead the team in maintaining a strong focus on business use cases and the practical application of AI solutions to solve real-world problems.Minimum RequirementsMinimum of 5 years of experience as a Product Manager, ideally in software or technology-focused products.Strong technical understanding and ability to work effectively with Engineers and Data Scientists.Proven experience with AI/ML models and frameworks (e.g., Chat GPT, Amazon Bedrock).Experience in data gathering, curation, and management at scale.Familiarity with supply chain or trading environments is a big plus.Business-oriented mindset with the ability to communicate complex technical topics to non-technical stakeholders.Based in or willing to travel to Barcelona or Frankfurt offices at least once a month.What we can offerFlexible schedules throughout the year.Monthly restaurant/transportation vouchers.Health insurance policy with Assistència Sanitària (for Spain-based employees), with the option to add family members.Wellhub wellbeing platform membership.The option to work from abroad for up to 3 months per year.All the necessary work equipment (laptop, headphones, etc.).Two official company events per year to celebrate success.Individual coaching and mentoring on your development roadmap within Qualifyze.At Qualifyze, we actively support the power of diversity, uniting complementary talents and perspectives to address new challenges. Our collective strengths help us find innovative solutions and turn difficulties into opportunities. We appreciate what makes you unique—be it your background, experiences, or any other factors that shape your identity. As an equal opportunity employer, we welcome applications from individuals of all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, marital status, religion, disability, or age. Our hiring practices emphasize fairness and respect, and we are dedicated to fostering a culture where everyone feels valued and empowered.
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