Назад
4 месяца назад

Director Of Product Management (AI)

136 000 - 240 000CAD
Формат работы
remote (только Canada)
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Director of Product Management (AI): Leading product strategy and execution for the AI Generation Engine (SAIGE) team with an accent on quantitative AI and financial risk modeling. Focus on driving 0→1 product discovery, rapid prototyping, and scaling high-impact AI solutions for the finance and insurance sectors.

Location: Remote in Canada

Salary: CA$136,000–CA$204,000 for Canada Tier 2 or CA$160,000–CA$240,000 for Canada Tier 1, depending on geographic location, skills, experience, and education.

Company

SandboxAQ develops quantitative AI and Large Quantitative Models for challenges in life sciences, financial services, navigation, cybersecurity, and other sectors.

What you will do

  • Own the product vision, strategy, roadmap, and execution for the Finance and Risk portfolio.
  • Lead 0→1 product discovery, rapid prototyping, experimentation, and incubation of AI and quantitative products.
  • Work with quantitative researchers, machine learning engineers, domain experts, UX researchers, and design partners to translate customer problems into product requirements.
  • Build relationships with financial services and insurance customers, including risk leaders, portfolio managers, actuaries, and CROs.
  • Define success metrics and validation strategies for risk models, portfolio analytics, scenarios, and decision-support products.
  • Prioritize opportunities, communicate recommendations, and drive execution in an ambiguous, fast-changing environment.

Requirements

  • 10+ years of product management experience, including substantial experience with complex B2B or platform products.
  • Several years operating at senior, staff, principal, or director level.
  • Deep experience in financial services and/or insurance, particularly risk modeling, financial simulation, portfolio analytics, or decision-support tools.
  • Experience building AI or machine learning products and working closely with quantitative and engineering teams.
  • Proven 0→1 product experience, including opportunity discovery, problem framing, prototyping, validation, and prioritization.
  • Quantitative or technical education in fields such as computer science, mathematics, physics, statistics, engineering, or finance.

Nice to have

  • Experience with foundational models, LLMs, agentic systems, or other quantitative AI products.
  • Hands-on exposure to risk engines, portfolio analytics systems, or insurance and financial-services modeling platforms.
  • Experience in both a high-growth startup or product-incubation environment and a large, complex organization.

Culture & Benefits

  • Remote work with a flexible work arrangement.
  • Competitive base salary, performance-based incentives where applicable, and equity participation.
  • Medical, dental, and vision coverage, retirement savings with company matching, paid parental leave, and family-building benefits.
  • Flexible paid time off and company-wide seasonal breaks.
  • Learning and development opportunities through on-the-job growth, cross-functional collaboration, and internal programs.
  • Multidisciplinary culture focused on creativity, collaboration, ownership, rapid prototyping, and continuous learning.

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