Senior Data Product Manager

As Seqana scales, we are looking for a highly capable Senior Data Product Manager to serve as the critical bridge between market needs and our advanced technical execution. This role carries a dual mandate: driving product maturity by scaling and hardening our existing data product portfolio, and accelerating strategic growth by independently owning significant growth pillars and new product opportunities.

What you'll do

• Translating strategic business objectives into clear system requirements and actionable user stories, ensuring technical blueprints align with scalable architectures.
• Take end-to-end ownership of specific segments within our existing product portfolio, overseeing the entire lifecycle from initial discovery through to successful delivery and maintenance.
• For new, unstandardized workflows and features, operate seamlessly in 'Discovery Mode' alongside Tech, prioritizing rapid testing and iteration.
• Work closely with the Chief Product Officer to explore and validate new product opportunities, expanding Seqana's market presence and scaling our overall climate impact.
• Own internal dashboard products by defining business requirements and metrics that enable data-driven technical strategy, sales narratives, and model performance evaluation.

What you'll need

• STEM degree or comparable professional experience in a technical setting.
• At least 4 years spent managing products, with a proven ability to lead and scale technical products.
• Proficiency in day-to-day operations, including crafting actionable user stories, overseeing backlogs, and setting long-term measurable outcomes (OKRs/KPIs).
• Strong verbal and written skills, specifically the knack for making scientific and data-heavy concepts accessible.
• Ability to thrive in an ambiguous, entrepreneurial environment where priorities can shift between long-term vision and rapid delivery.
• Proficient in English.

Nice to have

• Direct experience or familiarity with Machine Learning, geospatial data, Earth Observation (EO), remote sensing, or process based models.
• Practical knowledge of applied statistics.
• Prior experience in the AgTech, Carbon Market, or agricultural supply chains.
• Familiarity with Python, CLI-based workflows, and dashboarding tools.

What they offer

• Competitive salary and equity options.
• 500€ training budget and continuous learning opportunities.
• Flexible hours, home-office opportunities, and casual pet-friendly office environment.
• 30 days of paid vacation.
• Drinks, snacks, team events, and your choice of hardware.