Director of Product Management, Financial Simulation and Modeling

Director of Product Management, Financial Simulation and Modeling at SandboxAQ, Canada (remote). A director-level full time position in the AI Generation Engine team, listed under quantum applications.

The SandboxAQ AI Generation Engine (SAIGE) team’s mission is to accelerate SandboxAQ’s mission of “Deep Impact at Scale” with a focus on quantitative AI and rapid innovation. More specifically, the SAIGE team aims to:

• Build next-generation AI capabilities that establish SandboxAQ as the global pacesetter in quantitative AI.
• Identify, incubate, prototype, and launch new AI products for high-potential and longer-term use cases, proving (or disproving) their viability as high-impact, highly profitable business lines.

The SAIGE team operates on the following principles:
Prototype with Velocity, Explore Boldly, Fail Smart, Learn Fast, Look Forward, and Share Knowledge. Our current top priority use case is leveraging AI and LQMs to solve some of the most impactful problems in the Finance and Insurance industries.

As the Director of Product Management for the AI Generation Engine (SAIGE), you will be the PM lead for the team and a key partner to engineering, research, and user research. You will:

• Own the product strategy and execution for our efforts in Finance & Risk Modeling , partnering closely with financial services and insurance customers to understand their workflows, risk models, and decision-making processes.
• Lead rapid prototyping and innovation across a broad range of new ideas and domains, driving 0→1 product discovery, experimentation, and incubation of high-potential use cases.
• Operate in a highly ambiguous, fast-changing environment , providing clarity on priorities, making pragmatic trade-offs, and ensuring we ship impactful prototypes and products.

This role is ideal for a seasoned product leader who is energized by uncertainty, enjoys working across disciplines (UXR, engineering, research, business), and is excited to build new AI and quantitative products from the ground up.

• Direct experience building products involving AI / ML, foundational models, quantitative models, or LLM/agentic systems.
• Hands-on exposure to risk tools and vendor platforms (e.g., risk engines, portfolio analytics systems, or modeling platforms used in insurance and financial services).
• Experience in both:
  
  A high-growth startup or new product incubation context, andA large, complex environment (e.g., Big Tech, major financial institution), giving you a strong sense of how to navigate stakeholders and scale impact.
• Educational background in a quantitative or technical field (e.g., computer science, mathematics, physics, statistics, engineering, finance, or similar).