Remote Sensing Lead

Title:

Location:

Project Overview:

You’ll be leading the development of geospatial tools and products within a precision agriculture platform for a global AgTech innovator. The client integrates multi-spectral, hyperspectral, and radar imagery into agricultural workflows to deliver insights to growers, agronomists, and partners across the industry. Your focus will be on building, enhancing, and maintaining advanced remote sensing solutions that turn raw imagery into actionable intelligence. You’ll work within a cross-functional, international environment that includes data scientists, software developers, agronomy R&D, and product teams, with cloud infrastructure based on AWS and GCP.

Responsibilities:

• Act as a subject matter expert for Earth observation datasets, image processing, and geospatial analytics
• Guide the team through requirements gathering, solution design, prototyping, and technical documentation
• Participate in the design, development, evaluation, and interpretation of software tools and algorithms for crop analysis and visualization
• Plan and participate in field research activities to support model development and validation
• Coordinate cross-functional collaboration with Product, Agronomy R&D, and other internal stakeholders
• Manage team resourcing, task scheduling, and deliverable tracking
• Identify and implement training and development initiatives to upskill the team
• Participate in recruitment support (reviewing applications, attending interviews), and assisting with performance evaluations
• Perform employee performance management through coaching and annual reviews
• Support employee performance management through coaching and annual reviews
• Perform other duties as assigned

Requirements:

• Sc. or M.Sc. in physical or biological science relevant to earth observation using remote sensing;
• 3+ years working in an imaging science role, preferably within a commercial setting
• Prior managerial experience preferred
• Experience using multi-spectral and hyperspectral, datasets; radar experience an asset
• Strong knowledge in optical remote sensing concepts and processes
• Strong abilities to program and automate image processing and analysis workflows in

  Python

  . Experience in other programming languages (i.e. R) an asset
• Experience and competence using

  desktop GIS and remote sensing software (i.e. ArcGIS, QGIS, ENVI, etc.)

• Cloud knowledge such as

  AWS, GCP

  is mandatory
• Basic understanding of Precision Agriculture;
• Working knowledge of agile methodologies
• Experience with field work, especially in an agricultural setting, an asset
• Background in agricultural science and/or crop insurance an asset
• Excellent interpersonal skills essential for success
• Good verbal and technical writing skills
• Oriented toward team success
• Ability to support and track multiple simultaneous projects