Director of Product Management (Financial Risk Modeling)

Join SandboxAQ as the Director of Product Management for the AI Generation Engine (SAIGE). In this role, you will lead product strategy and execution for Finance & Risk Modeling, drive rapid prototyping and innovation, and build strong customer and stakeholder relationships. You will work closely with engineering, research, and user research teams, and have a significant impact on the future of quantitative AI in finance and insurance.

• Own the product strategy and execution for Finance & Risk Modeling, partnering closely with customers to understand their workflows and decision-making processes.
• Lead rapid prototyping and innovation across a broad range of new ideas and domains, driving product discovery, experimentation, and incubation of high-potential use cases.
• Build strong customer and stakeholder relationships, serving as a trusted product partner to senior stakeholders at key customers and leading customer conversations from initial discovery through pilot definition.

• 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
• You are a senior product leader who is comfortable at the intersection of AI, quantitative modeling, and financial risk
• You thrive in ambiguity, enjoy working closely with deeply technical teams, and can just as easily go deep on models and data as you can on customer needs and business outcomes
• Comfortable discussing models, data pipelines, and trade-offs with engineers and researchers
• Clear written and verbal communication across technical and non-technical audiences
• Confident leading discovery and roadmap conversations with senior stakeholders
• Experience in financial services and/or insurance, especially in one or more of:
• Strong collaboration and communication:
• Alignment with SandboxAQ values and the SAIGE principles around rapid prototyping, learning, and shared ownership
• 10+ years of product management experience, with substantial time spent on complex B2B or platform products; at least several years operating at a senior / staff / principal / director level (e.g., L7-equivalent scope)
• Strong ruthless prioritization skills: can define clear frameworks, make hard trade-offs, and say “no” to good ideas to focus on the best ones
• Experience working tightly with UXR, design, engineering, and research
• Experience in environments with shifting priorities and evolving strategies
• Exceptional customer-facing skills:
• You are proactive, low-ego, and collaborative, and you don’t need rigid structure to have impact
• Self-directed, proactive, and comfortable creating structure where needed rather than waiting for it
• Portfolio analytics or decision support tools
• Identifying new opportunities and shaping them from idea to prototype and early product
• Risk modeling (e.g., portfolio risk, capital modeling, asset-liability management, market/credit risk, or insurance risk)
• Proven track record of 0→1 product work:
• Able to translate between technical details and customer/business value
• Financial simulation or scenario analysis
• Demonstrated ability to work closely with quantitative and engineering teams:
• Working through high ambiguity, incomplete information, and changing constraints
• Demonstrated ability to drive execution without heavy process or structure:
• Skilled at uncovering real needs behind stated requirements and pressure-testing problem statements
• Direct experience building products involving AI / ML, 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, and
• A 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)
• If you’re excited by the idea of shaping the future of quantitative AI, building products with real impact in finance and insurance (and possibly other domains), and leading 0→1 innovation in a highly cross-functional team, we’d love to hear from you