Senior Product Manager Data & IA
4 days ago
Paris
Yseop is recognized as the world-leading AI software company and pioneer in Generative AI. Yseop is the leader in Generative AI for regulated industries, changing the way content automation solutions are delivered with a human-centric, AI platform. Yseop is reimagining the future of scientific writing to get medicine into the hands of those who need it faster. With a suite of industry-specific applications and cutting-edge hybrid Natural Language Generation (NLG) technology that blends symbolic, machine learning, and LLM techniques, Yseop ensures that even the most demanding content automation tasks are met with ease, scalability and application security across the entire enterprise At Yseop, our mission is to support companies through this digital transformation. We believe that our cutting-edge artificial intelligence technology allows businesses to increase the efficiency of their operations and shift employee time spent on tedious tasks to more value-added and creative work. So join Yseop and be part of an amazing adventure that is only at its beginning! Our corporate values drive our daily job: • Team : We care about each other, inspire each other and encourage strong team spirit, • Trust: Trust is foundational. It empowers our employees and customer relationships., • Innovation: We love to innovate in ways that delight our customers, • Customer Centric: We exceed customer expectations and aspire to create true partnerships., • Speed: We practice agility, prioritize simplicity and we are proactive We are building a diverse and inclusive team - and we need your help! So join us to build tomorrow, today, 🚀 Context In a context of strong growth, we are strengthening our Product team with a Product Manager – Data & AI. Your mission: maximize product value generated through data and AI use cases by bridging business needs, product vision, and technical capabilities. 💻 Your Role As a Product Manager – Data & AI, you are the guardian of the Data strategy. You transform complex challenges (data quality, automation, enrichment, LLMs, performance) into usable, scalable, value-driven products. You are not responsible for the technical implementation, but you are at the heart of key structural decisions, working closely with the R&D Manager. Your Responsibilities 1. Product Vision & Strategy • Define and drive the product vision for data and AI platforms., • Identify opportunities to leverage data and LLM use cases to address business challenges., • Build and maintain a prioritized product roadmap aligned with the overall company strategy. 2. Discovery & Needs Framing • Gather and analyze user needs (business teams, Data Science, IT)., • Translate challenges into use cases, user journeys, and user stories., • Assess business value, user impact, and technical feasibility for each initiative. 3. Close Collaboration with the R&D / Data Engineering Manager Work closely with the R&D Manager to: • Align product vision with data architecture (ETL/ELT pipelines, models, data quality)., • Prioritize between innovation (LLMs, automation), technical debt, and business requests., • Define product standards related to data: reliability, freshness, traceability, usability., • Contribute to key architectural and scalability decisions. 4. Delivery & Value Tracking • Write functional specifications and acceptance criteria., • Support R&D teams throughout delivery., • Ensure releases meet product expectations and real user needs., • Define and monitor product KPIs: adoption, perceived quality, performance, business impact. 5. AI & Product Innovation • Identify and prioritize LLM-based use cases within data transformation, enrichment, or exploitation processes., • Work with Data & R&D teams to turn technological advances into concrete product features., • Contribute to product and AI trend monitoring. 6. Communication & Enablement • Act as a bridge between technical and business teams, simplifying complex data topics., • Contribute to product documentation and vision sharing., • Facilitate cross-functional collaboration and stakeholder alignment., • Influence key decisions and prioritization. 🧐 Profile & Experience • 3 to 7 years of experience in Product Management, ideally on data products, platforms, or SaaS software., • Proven experience working with Data Engineering and/or Software Engineering teams. Key Skills • Strong understanding of data-related topics:, • ETL/ELT pipelines, • Data transformation and quality, • Unstructured data, • Ability to communicate effectively with technical stakeholders., • Strong product mindset and user-value orientation., • Interest in AI/LLM topics and their production deployment. Soft Skills • Excellent written and verbal communication., • Analytical mindset and strong prioritization skills., • Functional leadership, autonomy, and team spirit., • Technological curiosity and continuous improvement mindset. 🎁 Benefits to join Yseop? • A very strong company culture, • Hybrid work policy, • 1 day per year offered to do volunteer work in an association, • An on- boarding tailored made to simplify your integration and meet all the teams, • Team Building every quarter Yseop is an equal opportunity employer. We believe diversity is a strength and fosters innovation. We are committed to enabling everyone to feel included and valued at the workplace. All qualified applicants will receive consideration for employment without regard to age, color, family, gender identity, marital status, national origin, physical or mental disability, sex (including pregnancy), sexual orientation, social origin, or any other characteristic protected by applicable laws.
