Senior Data Product Manager

Tasks

• 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.