Product Owner responsible for data platform management and optimization at Keyrus in Bordeaux. Collaborating with multicultural teams to deliver high - quality data solutions in a growing company.
About the role
- Product Manager delivering data analysis and execution strategies in a health-focused startup. Collaborating with engineering and analytics teams to drive actionable insights.
Responsibilities
- Data analysis: Serve as the analytical engine for the entire company. You’ll analyze diverse datasets spanning marketing, finance, and clinical outcomes to uncover insights that inform our core business and product strategy. We use open-source visualization tools (e.g., Evidence, Observable Framework).
- Product execution: Translate user needs and strategic goals into clear, well-defined specs that help our engineers build with clarity and speed.
- Workflow automation: Identify bottlenecks in our operations and build our internal operating system. You’ll be expected to write scripts and build force-multiplying internal tools that supercharge the entire team’s productivity.
- User enablement: Be the champion of our apps, tools and workflows, writing clear documentation and recording quick video tutorials that empower our patients and your teammates.
Requirements
- 3-6+ years of experience in a deeply technical or analytic role, ideally with experience in product management
- Strong technical fluency in databases, cloud platforms, and data engineering (e.g., SQL, BigQuery, Databricks, GCP, or similar)
- Hands-on ability to understand or prototype in Python or another scripting language
- Entrepreneurial and resourceful — comfortable wearing multiple hats, adapting quickly as priorities evolve, and finding practical solutions in a fast-moving environment
- Deeply data-driven and AI-curious — you look for ways to apply modern tools to solve real business problems
- Collaborative, low-ego, and user-focused — you care about impact, not credit.
- Proven ability to streamline processes, reduce tech debt, and deliver measurable efficiency gains
- Strong analytical and communication skills — able to turn data insights into business action
- Familiarity with database products (PostgreSQL, BigQuery, Elasticsearch) - DBaaS platforms preferred
- Experience working in a seed stage startup environment preferred
- Experience in SaaS, healthtech, or other regulated environments preferred
- Strong data visualization or BI tool experience (Metabase, Looker, etc.) preferred
Benefits
- Comprehensive health benefits (medical, dental, vision)
- 11 paid holidays
- 15 personal vacation days
- 10 wellness days
- Hybrid work, 3 days in-office 2 days remote
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