Director of Product Management, AI Generation Engine

SandboxAQ is a high-growth company delivering AI solutions that address significant global challenges. The Director of Product Management for the AI Generation Engine will lead product strategy and execution in Finance & Risk Modeling, partnering closely with customers to drive innovation and product discovery.

Responsibilities:

• Lead product strategy in Finance & Risk Modeling
• 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)