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SandboxAQ

Director of Product Management, Financial Risk Modeling

RemoteUnited States only
Published
Role
Product
Experience
Lead
Employment
Full-time
Company size
Startup
Salary not disclosed
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No BS summary

As the Director of Product Management for the AI Generation Engine (SAIGE), you will be the PM lead for the team and a key partner to engineering, research, and user research. You will own the product strategy and execution for our efforts in Finance & Risk Modeling, lead rapid prototyping and innovation, and operate in a highly ambiguous, fast-changing environment.

What you'll do

  • 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).
  • 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.
  • 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.
  • Communicate progress, learnings, and recommendations clearly to internal and external stakeholders, including executives.

What they require

  • 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).
  • Deep 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: Past experience in building AI / ML products or capabilities; 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.
  • 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.

Benefits

  • Competitive base salary, performance-based incentives or bonuses (where applicable), and equity participation.
  • Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions, retirement savings with company matching, paid parental leave, and inclusive family-building benefits.
  • Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements that enable sustainable performance.
  • Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs.

SandboxAQ is a high-growth company delivering AI solutions. Its Large Quantitative Models power advances in life sciences, financial services, navigation, cybersecurity, and other sectors.

🇺🇸 United StatesArtificial IntelligenceStartupsandboxaq.com
Salary not disclosed