Product Manager - Computer Vision & Data Products
CanadaFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 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.
- Required Skills
- PythonSQLArtificial IntelligenceMachine LearningMicrosoft ExcelComputer Vision
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
Responsibilities
- 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
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