Director Of Product Management, AI Generation Engine (Fintech)

Location: United States; remote role with US geographic compensation tiers.

Salary: $163,200–$306,000 annually, depending on US pay tier, skills, experience, education, and geographic location.

Company

SandboxAQ develops quantitative AI and Large Quantitative Models for 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 discovery, rapid prototyping, experimentation, and incubation of AI and quantitative products.
• Understand customer workflows, risk models, data flows, and decision-making processes across financial services and insurance.
• Partner with quantitative researchers, ML engineers, UX research, design, and domain experts to define product requirements and model or data needs.
• Define success metrics and validation strategies to demonstrate differentiated value against existing risk and portfolio tools.
• Lead customer discovery, pilot definition, adoption, and communication with senior stakeholders and executives.

Requirements

• 10+ years of product management experience, including complex B2B or platform products.
• Deep experience in financial services and/or insurance, including risk modeling, financial simulation, scenario analysis, portfolio analytics, or decision-support tools.
• Experience working with AI/ML, foundational models, quantitative models, or LLM and agentic systems.
• Ability to work closely with quantitative, engineering, research, UX, and design teams and translate technical details into customer and business value.
• Demonstrated 0→1 product management, ruthless prioritization, customer-facing leadership, and execution in ambiguous environments.
• Quantitative or technical education in computer science, mathematics, physics, statistics, engineering, finance, or a related field.

Nice to have

• Hands-on experience with 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 environment and a large, complex organization.
• Experience with portfolio risk, capital modeling, asset-liability management, market or credit risk, or insurance risk.

Culture & Benefits

• Collaborative, multidisciplinary environment spanning AI, chemistry, cybersecurity, physics, mathematics, medicine, and engineering.
• Flexible paid time off and company-wide seasonal breaks.
• Medical, dental, and vision coverage with employer contributions, retirement savings with company matching, paid parental leave, and family-building benefits.
• Continuous learning through on-the-job development, cross-functional collaboration, and internal learning programs.
• Performance-based incentives or bonuses and equity participation may apply.