SandboxAQ - Director of Product Management, AI Generation Engine
Requirements
• You are a senior product leader who is comfortable at the intersection of AI, quantitative modeling, and financial risk. You thrive in ambiguity, enjoy working closely with deeply technical teams, and can just as easily go deep on models and data as you can on customer needs and business outcomes. You are proactive, low-ego, and collaborative, and you don’t need rigid structure to have impact. • AI, quantitative modeling, and financial risk • 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). • 10+ years of product management experience • senior / staff / principal / director • Experience in financial services and/or insurance, especially in one or more of: • Experience in financial services and/or insurance • 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: • 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: • 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. • ruthless prioritization • 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: • 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. • 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. • AI / ML • 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). • risk tools and vendor platforms • A high-growth startup or new product incubation context, and • high-growth startup or new product incubation • A large, complex environment (e.g., Big Tech, major financial institution), giving you a strong sense of how to navigate stakeholders and scale impact. • large, complex environment • Educational background in a quantitative or technical field (e.g., computer science, mathematics, physics, statistics, engineering, finance, or similar). • quantitative or technical field • If you’re excited by the idea of shaping the future of quantitative AI, building products with real impact in finance and insurance (and possibly other domains), and leading 0→1 innovation in a highly cross-functional team, we’d love to hear from you.
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 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. • 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. • Build strong customer and stakeholder relationships • 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.
Benefits
• Tier 1$204K – $306K • Tier 2$159.2K – $238.8K • At SandboxAQ, we are committed to competitive, equitable, and transparent compensation; we continuously benchmark our salaries and total compensation to premium markets to ensure our competitiveness. Individual pay within the above range is determined by job-related skills, experience, education, and geographic location. • With a focus on pay equity and ensuring opportunity for future salary progression, our typical practice is to hire within the first half of the base salary range for a given role and level. This approach allows us to reward performance and increasing expertise consistently as your career develops with us. • We use two geographic pay tiers to reflect the pay differences in local markets: • Tier 1: Applies to candidates located within 75 miles of San Francisco, Los Angeles, Seattle, New York, Boston, and Washington, DC. • Tier 1: • Tier 2: Applies to candidates located in all other Locations in the US. • Tier 2: • 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. • 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: • “Deep Impact at Scale” • Build next-generation AI capabilities that establish SandboxAQ as the global pacesetter in quantitative AI. • Identify, incubate, prototype, and launch new AI products for high-potential and longer-term use cases, proving (or disproving) their viability as high-impact, highly profitable business lines. • The SAIGE team operates on the following principles: Prototype with Velocity, Explore Boldly, Fail Smart, Learn Fast, Look Forward, and Share Knowledge. • Prototype with Velocity, Explore Boldly, Fail Smart, Learn Fast, Look Forward, and Share Knowledge. • Our top priority use case for 2026 is leveraging AI and LQMs to solve some of the most impactful problems in the Finance and Insurance industries. • We offer a comprehensive and competitive benefits package designed to support your health, financial well-being, and life outside of work. • Compensation: Competitive base salary, performance-based incentives or bonuses (where applicable), and equity participation. • Benefits: 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. • Work-Life Balance: Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements that enable sustainable performance. • Work-Life Balance: • Career Development: Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs. • Career Development: • SandboxAQ Welcomes All • We are committed to fostering a culture of belonging and respect, where diverse perspectives are actively sought and valued. Our multidisciplinary environment provides ample opportunity for continuous growth - working alongside humble, empowered, and ambitious colleagues ready to tackle epic challenges. • Equal Employment Opportunity: All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. • Equal Employment Opportunity • Accommodations: We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know. • Accommodations • Read: Guidance for candidates on using AI Tools in interviews • Read: • Guidance for candidates on using AI Tools in interviews
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