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 who is energized by uncertainty, enjoys working across disciplines (UXR, engineering, research, business), and is excited to build new AI and quantitative products from the ground up.
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.
Drive rapid prototyping and 0→1 innovation
Identify, evaluate, and prioritize new AI / LQM use cases across multiple domains (beyond Finance/Risk), from early signals to clearer opportunities.