This director-level position is for a product leader who enjoys working across disciplines to build new AI and quantitative products from the ground up, particularly at the intersection of AI, quantitative modeling, and financial risk. The role involves shaping the future of quantitative AI and building products with real impact in finance and insurance within a highly cross-functional team.
Responsibilities
Own the product strategy and execution for 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 impactful prototypes and products are shipped
Own the product vision, roadmap, and execution for the 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 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
Millions of jobs, with real people getting hired every day
200,000+
New jobs added daily
7,000,000+
Verified job listings
1,000,000+
Tailored applications submitted
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 a high-growth startup or new product incubation context
Experience in a large, complex environment (e.g., Big Tech, major financial institution), providing 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)
Benefits
Stock options
Unlimited vacation (PTO) and flexible work culture
Company-wide winter and summer breaks to unwind
Best-in-class health plans: Medical, dental and orthodontics, and vision
