Director of Product Management, AI Generation Engine

SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. As the Director of Product Management for the AI Generation Engine, you will lead product strategy and execution for Finance & Risk Modeling, collaborating with customers to understand their workflows and driving rapid prototyping and innovation across various AI products.

Responsibilities:

• Own the product vision, roadmap, and execution for our Finance/Risk portfolio, with a focus on financial services and insurance (e.g., portfolio risk, capital modeling, risk analytics, underwriting, and related workflows)
• Develop a deep understanding of customer contexts, including current tools, models, and data flows (e.g., portfolio / risk modeling systems, vendor platforms, internal analytics stacks)
• Partner with quantitative researchers, ML engineers, and domain experts to translate customer problems into clear product requirements and model/data needs
• Define success metrics and validation strategies to compare our approaches against existing PML/ERM and portfolio views, and to demonstrate differentiated value
• Identify, evaluate, and prioritize new AI / LQM use cases across multiple domains (beyond Finance/Risk), from early signals to clearer opportunities
• Lead 0→1 product discovery: problem framing, hypothesis development, lightweight customer validation, and rapid iteration on prototypes
• Work with engineering and research to scope experiments that are small enough to move quickly but meaningful enough to answer key questions
• Establish and champion a rigorous but pragmatic approach to ruthless prioritization, ensuring the team focuses on the highest-impact opportunities
• Serve as a trusted product partner to senior stakeholders at key customers (e.g., heads of risk, portfolio managers, actuaries, CROs), speaking credibly about risk models, scenarios, and portfolio decisions
• Lead customer conversations from initial discovery through pilot definition and ongoing adoption, connecting customer needs to the SAIGE roadmap
• Communicate progress, learnings, and recommendations clearly to internal and external stakeholders, including executives

Requirements:

• 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)
• Experience in financial services and/or insurance, especially in one or more of: Risk modeling (e.g., portfolio risk, capital modeling, asset-liability management, market/credit risk, or insurance risk), Financial simulation or scenario analysis, Portfolio analytics or decision support tools
• Demonstrated ability to work closely with quantitative and engineering teams: Comfortable discussing models, data pipelines, and trade-offs with engineers and researchers. Able to translate between technical details and customer/business value
• Proven track record of 0→1 product work: Identifying new opportunities and shaping them from idea to prototype and early product. Working through high ambiguity, incomplete information, and changing constraints
• Strong ruthless prioritization skills: can define clear frameworks, make hard trade-offs, and say “no” to good ideas to focus on the best ones
• Exceptional customer-facing skills: Confident leading discovery and roadmap conversations with senior stakeholders. Skilled at uncovering real needs behind stated requirements and pressure-testing problem statements
• Demonstrated ability to drive execution without heavy process or structure: Self-directed, proactive, and comfortable creating structure where needed rather than waiting for it. Experience in environments with shifting priorities and evolving strategies
• Strong collaboration and communication: Experience working tightly with UXR, design, engineering, and research. Clear written and verbal communication across technical and non-technical audiences
• Alignment with SandboxAQ values and the SAIGE principles around rapid prototyping, learning, and shared ownership
• 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)