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Product Manager, Geotechnical

🕒 vor 11 Tagen

🇨🇦 Kanada – Remote

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

✅ Produktmanager

🗣️🇺🇸🇬🇧 Englisch erforderlich

Woher diese Stelle stammt

Veröffentlicht auf der Karriereseite von GeologicAI, nicht über eine Jobbörse

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Noch offen auf der Website von GeologicAI. Geprüft vor 2 Stunden.

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GeologicAI

201 - 500 Mitarbeiter

Gegründet 2013

🤖 Künstliche Intelligenz

☁️ SaaS

🔧 Hardware

💰 €44.000.000 Later Stage VC (Series B) im 2025-08

Artificial Intelligence • SaaS • Hardware

GeologicAI entwickelt Tools, Technologien und Lösungen für die Entscheidungsunterstützung im Bergbau und im Bereich kritischer Rohstoffe. Das Unternehmen bietet Multisensor-Kernscanning (RGB, XRF, hyperspektral, LiDAR, LIBS), digitales Kernlogging, Ressourcenmodellierung sowie eine cloudbasierte Automated Modeling Platform (AMP), die KI-Agenten in geologische Workflows und Workflows der Grubenplanung integriert. GeologicAI kombiniert hochpräzise Sensorhardware, KI-gestützte Analysen und fundierte Branchenexpertise, um die Charakterisierung von Lagerstätten, das Logging und die Grubenplanung für Bergbauunternehmen schneller zu machen und deren Genauigkeit und Konsistenz zu verbessern.

Beschreibung

• Lead the geotechnical workstream for GeologicAI’s scanning systems • Establish and prioritize geotechnical product requirements, including imaging and sensor data quality, structural picking and orientation pipelines, strength and rock mass classification workflows, validation methods, and development cadence • Maintain and evolve the product canvas for automated geotechnical characterization • Define and drive product strategy, translating business goals and market signals into a prioritized roadmap • Coordinate and prioritize projects across the geotechnical workstream • Establish technical positioning against competitors and contribute to strategic planning and resourcing • Prototype geotechnical algorithms and workflows for fracture and defect detection, RQD and fracture frequency, discontinuity orientation and roughness, and strength proxies • Collaborate with data scientists and software developers on prediction model development, validation, and research-to-product decisions • Recruit, mentor, and develop team members • Convey the value of automated geotechnical outputs for slope and underground stability design, mine planning, ground support optimization, and geotechnical risk management • Support product update meetings with client geotechnical engineers and engineering geologists • Build relationships with academic institutions and third parties • Scope geotechnical logging, rock mass classification, and strength prediction workflows • Review client geotechnical data and generated outputs for engineering sense and analytical integrity • Collaborate on geological, resource, and geotechnical domain models • Design and oversee validation studies from individual defect picks through drill-hole-scale rock mass domains and laboratory strength testing • Develop or supervise calibration and prediction models based on core imaging and fused scanning data • Travel up to 20% of the time for client meetings and site visits

🎯 Anforderungen

• Degree in geological engineering, geotechnical engineering, engineering geology, rock mechanics, or a closely related field • Experience converting research and development work to commercial product • Experience leading technical teams through ambiguous R&D-to-product translation work • Project management and collaborative skills to focus and prioritize critical work • Ability to guide teams with clear goals and KPIs where needed • Demonstrated ability to develop and mentor team members and foster a high-performing team culture • Track record of leading projects and teams to make decisions under uncertainty • Strong working knowledge of geotechnical core logging and rock mass characterisation, including RQD, fracture frequency, discontinuity orientation, roughness and infill, weathering and alteration, and RMR, Q, and GSI classification systems • Experience with differences between automated imaging and sensor measurements, manual geotechnical records, and laboratory measurements • Familiarity with laboratory rock strength and index testing, including UCS, point load, Brazilian tensile, and triaxial testing • Technical coding literacy sufficient to critically review notebooks and engage with modelling choices • Existing networks in the geotechnical, rock mechanics, or mining engineering space • Professional registration (P.Eng., P.Geo., or equivalent) is an asset • Prior mining industry experience is an asset • Technical coding and model-building capabilities are an asset

🏖️ Vorteile

• A casual and fun work environment • Flexible schedule and opportunities for remote work • Extended health and dental benefits • Robots with lasers!

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