Director of Product Management, AI Generation Engine
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Job Description
Director of Product Management for AI Generation Engine developing innovative quantitative AI solutions in finance and insurance sectors. Leading diverse teams to achieve impactful business outcomes.
Responsibilities:
- Own the product strategy and execution for our efforts in Finance & Risk Modeling
- Lead rapid prototyping and innovation across a broad range of new ideas and domains
- Provide clarity on priorities in a highly ambiguous, fast-changing environment
- Serve as a trusted product partner to senior stakeholders at key customers
- Identify, evaluate, and prioritize new AI / LQM use cases across multiple domains
- Develop a deep understanding of customer contexts, including current tools, models, and data flows
- Define success metrics and validation strategies to compare our approaches against existing views
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
- Proven track record of 0→1 product work
- Strong ruthless prioritization skills
- Exceptional customer-facing skills
- Demonstrated ability to drive execution without heavy process or structure
- Strong collaboration and communication
Benefits:
- Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions
- Retirement savings with company matching
- Paid parental leave
- Inclusive family-building benefits
- Flexible paid time off
- Company-wide seasonal breaks
- 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
- Competitive base salary, performance-based incentives or bonuses and equity participation
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