Senior Data Product Manager

Responsibilities

• Driving Product Maturity: You will lead the scaling and hardening of our existing data product portfolio (leveraging AI and remote sensing), focusing on standardizing workflows and automating delivery.
• Accelerating Strategic Growth: Independently own and drive significant strategic growth pillars, working directly with the Chief Product Officer to define, validate, and execute new product opportunities.
• Product Operations & Strategy: Translating strategic business objectives into clear system requirements and actionable user stories, ensuring technical blueprints align with scalable architectures to unblock engineering for fast‑paced and robust delivery.
• Product Ownership: 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.
• Discovery & Iteration: For new, unstandardized workflows and features, operate seamlessly in 'Discovery Mode' alongside Tech, prioritizing rapid testing and iteration over heavy documentation.
• Market Expansion & Impact: 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.
• Insight generation: Own internal dashboard products, by defining the business requirements and metrics that enable data‑driven technical strategy, sales narratives, and model performance evaluation.
• Data Insights: Manage internal dashboard products by defining user requirements, generating critical insights for technical strategy, sales narratives, and evaluating model performance.

Requirements

• Technical Literacy: You hold a STEM degree or possess comparable professional experience in a technical setting.
• Product Management Tenure: At least 4 years spent managing products, with a proven ability to lead and scale technical products.
• Core PM Skills: Proficiency in day‑to‑day operations, including crafting actionable user stories, overseeing backlogs, juggling roadmap goals with immediate client needs and setting long‑term measurable outcomes (OKRs/KPIs).
• Articulate Communication: Strong verbal and written skills, specifically the knack for making scientific and data‑heavy concepts accessible.
• Startup Agility: The ability to thrive in an ambiguous, entrepreneurial environment where priorities can shift between long‑term vision and rapid delivery.
• Continuous Learning: A proactive mindset focused on self‑development and leveraging emerging tools like AI to boost efficiency.
• Linguistic Ability: Proficient in English; knowledge of further languages is considered a benefit.

Certifications & Qualifications

• STEM degree