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NEXTMOVEFDE careers · United States

Director of Product Management, Financial Risk Modeling

Technologies

Large Quantitative Models (LQMs) · AI/ML · LLM/agentic systems · risk engines · portfolio analytics systems · modeling platforms · quantitative modeling · financial simulation

About SandboxAQ

Physics-based AI platform delivering Large Quantitative Models across life sciences, finance, materials discovery, and cybersecurity. Spun from Alphabet in 2022.

Series E

Job description

The full responsibilities and requirements are on the employer’s site.

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Source and classification

Deployment strategy · Evidence for this classification:

most impactful problems in the Finance and Insurance industries. The Opportunity 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, 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 we ship impactful prototypes and products. This role is ideal for a seasoned product leader
More from the job description

About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. About the Team The SandboxAQ AI Generation Engine (SAIGE) team’s mission is to accelerate SandboxAQ’s mission of “Deep Impact at Scale” with a focus on quantitative AI and rapid innovation. More specifically, the SAIGE team aims to: Build next-generation AI capabilities that establish SandboxAQ as the global pacesetter in quantitative AI. Identify, incubate, prototype, and laun [... source excerpt omitted ...] to solve some of the most impactful problems in the Finance and Insurance industries. The Opportunity 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, 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 c [... source excerpt omitted ...] ergized by uncertainty, enjoys working across disciplines (UXR, engineering, research, business), and is excited to build new AI and quantitative products from the ground up. Key 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 researc

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