Product Manager - Computer Vision & Data Products

Jobgether · Canada

Company

Jobgether

Location

Canada

Type

Full Time

Job Description

Team: Product

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Product Manager – Computer Vision & Data Product in Canada.

This role sits at the intersection of product management, data science, and AI-driven computer vision technologies, focusing on transforming complex datasets into actionable risk intelligence products. You will own the end-to-end lifecycle of data and model-driven features, from discovery and definition through to launch and iteration. The position plays a key role in shaping how advanced machine learning outputs are translated into practical tools used by clients to assess property and climate-related risks. You will collaborate closely with data scientists, engineers, and external stakeholders to define requirements, validate models, and ensure product-market fit. The environment is fast-paced, highly analytical, and innovation-driven, requiring strong ownership and adaptability. This is a high-impact opportunity to build AI-powered products that directly contribute to improving risk awareness and resilience.

Accountabilities:

  • Own the end-to-end product lifecycle for data-driven and computer vision-based features, from ideation and discovery through to delivery and iteration.
  • Define product strategy and roadmap for machine learning and risk modeling solutions by analyzing complex datasets and business needs.
  • Translate data science insights into clear product requirements and engineering specifications to guide development teams.
  • Collaborate closely with data scientists and software engineers to build, validate, and improve predictive models and AI-powered features.
  • Act as the subject matter expert for model-driven products when engaging with customers, partners, and regulatory stakeholders.
  • Work directly with customers to understand workflows, pain points, and opportunities for product innovation.
  • Continuously iterate on product features in a fast-paced environment, leveraging feedback and performance data to improve outcomes.
  • Support the integration of advanced AI and computer vision capabilities into scalable data products.
  • Requirements:

    • 3–6 years of experience in analytics, data science, financial modeling, risk modeling, climate modeling, or related quantitative fields.
    • 1–2 years of product management experience working with data products or model-based systems.
    • Strong academic background in Engineering, Sciences, Commerce, or another quantitative discipline.
    • Proficiency in SQL, Python, and Excel for data analysis and product validation.
    • Strong ability to translate complex technical and analytical concepts into clear business and product requirements.
    • Excellent communication and presentation skills, including experience creating executive-level materials.
    • Ability to manage multiple priorities in a fast-paced, dynamic environment.
    • Familiarity with AI tools and an interest in leveraging them to improve productivity and decision-making.
    • Exposure to insurance, real estate, or risk modeling domains is a plus.
    • Experience with computer vision or machine learning products is a strong advantage.
    • Must be legally eligible to work in Canada.
    • Benefits:

      • Competitive compensation package with equity participation in a high-growth company.
      • Fully remote work model with flexibility across Canada.
      • Comprehensive health and wellness benefits.
      • Flexible time off to support work-life balance.
      • Home office setup stipend to support remote work efficiency.
      • Annual learning and development allowance for professional growth.
      • Exposure to cutting-edge AI, machine learning, and computer vision technologies.
      • Collaborative, high-performance startup culture with strong innovation focus.
      • Opportunities to work on impactful products addressing real-world climate and risk challenges.
Apply Now

Date Posted

04/17/2026

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