Senior ML Product Manager, Vegetation Intelligence

Overstory; Portugal; Hybride; EUR 90 000 - 150 000; Plein temps

Avantages offerts par ce poste

Competitive compensation

Home office stipend

Education budgets

Mission-driven impact

Résumé du poste

Overstory in Portugal seeks an experienced Product Manager to own the Vegetation Intelligence roadmap, turning remote sensing data into actionable risk insights for utilities.

You will collaborate with data scientists, ML engineers, and customers, shaping product strategy end to end and translating customer needs into measurable product outcomes.

This role balances ML-adjacent modeling work with building new capabilities, including user research and market-driven decision making.

Qualifications

• 8+ years of product management experience delivering ML-powered products.
• Experience turning technical roadmaps into customer-driven priorities.
• Proven ability to ship B2B software in fast-paced startups.

Responsabilités

• Own the Vegetation Intelligence roadmap from ML models to customer-facing products.
• Collaborate with data scientists, ML engineers, and customers to set priorities.
• Lead user research to ground product bets in field decisions.
• Shift roadmap towards customer-driven decisions while maintaining technical rigor.
• Communicate trade-offs and model limits to the broader team.
• Partner with product, engineering, and data science to ship value.
• Incorporate customer feedback from end users like arborists to improve models.
• Contribute to broader product strategy across Overstory.

Connaissances

Product management

Machine learning

User research

Roadmapping

Cross-functional leadership

Communication

B2B products

Description du poste

Overstory in Portugal seeks an experienced Product Manager to own the Vegetation Intelligence roadmap, turning remote sensing data into actionable risk insights for utilities.

You will collaborate with data scientists, ML engineers, and customers, shaping product strategy end to end and translating customer needs into measurable product outcomes.

This role balances ML-adjacent modeling work with building new capabilities, including user research and market-driven decision making.