Job Specifications
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
About the Company
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 e...
Know more