Tadaweb is a pioneering technology company with roots in Luxembourg and a growing global presence, with offices in the United Kingdom, France, and the United States. Our cutting-edge SaaS platform revolutionizes PAI and OSINT investigations, making them faster, smarter, and more effective, all while adhering to the highest ethical standards by relying solely on publicly available information and supporting our clients’ policies. Renowned for our “nothing is impossible” ethos, we prioritize trust, transparency, and innovation in everything we do.
We are looking for an experienced Technical Product Manager to lead and drive the vision for our AI & Data team. As the TPM of this team, you will bridge the gap between our business objectives and technical implementation, working closely with data scientists, engineers, stakeholders and the wider team to deliver cutting-edge solutions that solve customer problems. You'll be responsible for contributing to strategy, defining product requirements, setting priorities, and ensuring that our data products meet user needs while advancing our mission of making the world safer by empowering analysts with the right information at the right time.
Lead the product development lifecycle for our data and AI-powered analytics features, from conception to launch
Create and maintain a strategic product roadmap for our data products aligned with company objectives
Write detailed product requirements documents (PRDs) and user stories for the development team
Work closely with data scientists to understand ML model capabilities and limitations
Collaborate with engineers to ensure feasible and scalable implementation of data science solutions
Facilitate agile ceremonies including sprint planning, daily stand-ups, reviews, and retrospectives
Define success metrics and KPIs for data products and track their performance
Conduct and contribute to user testing and gather feedback to continuously improve product features
Stay current with industry trends in AI, ML, NLP, and PAI/OSINT capabilities
Act as the product owner in an agile environment, making prioritization decisions and managing the backlog
Collaborate with UX/UI designers to create intuitive interfaces for complex data products
Minimum Bachelor's degree in Computer Science, Information Technology, Business, or related field
~5+ years of product management experience, with at least 2 years managing technical or data products through multiple release cycles
~ Strong understanding of data science, machine learning concepts, and analytics capabilities
~ Experience with AI/ML frameworks and tools (e.g., model deployment, monitoring, retraining workflows) for operationalizing machine learning models effectively
~ Proven track record of successfully launching data or AI-driven products
~ Excellent stakeholder management and influence skills
~ Fluent in English
You get bonus points if you have any of the following:
Technical background in data science, machine learning, or software development
Experience in intelligence, security, or defense sectors
Familiarity with cloud platforms (AWS, Azure, or GCP) and their ML/AI services
Experience with large language models and generative AI technologies
Understanding of data privacy regulations and security considerations
Experience with data visualization tools and best practices
Knowledge of graph databases and network analysis for relationship mapping
Experience with international product development and multicultural teams
The opportunity to join a growing tech company, with strong product-market fit and an ambitious roadmap
A focus on performance of the team, not hours at the desk.
A social calendar including family parties, games nights, annual offsites, End of the year events and more, with an inclusive approach for both younger professionals and parents.
Our company culture is driven by the core values of family first, nothing is impossible and work hard, play harder.
We provide a healthy and positive culture that cares about employee wellbeing by creating a great workplace and investing our employees learning and development.