[Remote] Director of Product Management, AI Generation Engine

Note: The job is a remote job and is open to candidates in USA. SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. As the Director of Product Management for the AI Generation Engine, you will lead product strategy and execution for Finance & Risk Modeling, partnering closely with customers to innovate and prototype new AI products.ResponsibilitiesOwn 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 processesLead 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 casesOperate in a highly ambiguous, fast-changing environment, providing clarity on priorities, making pragmatic trade-offs, and ensuring we ship impactful prototypes and productsOwn 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 needsDefine success metrics and validation strategies to compare our approaches against existing PML/ERM and portfolio views, and to demonstrate differentiated valueIdentify, evaluate, and prioritize new AI / LQM use cases across multiple domains (beyond Finance/Risk), from early signals to clearer opportunitiesLead 0→1 product discovery: problem framing, hypothesis development, lightweight customer validation, and rapid iteration on prototypesWork with engineering and research to scope experiments that are small enough to move quickly but meaningful enough to answer key questionsEstablish and champion a rigorous but pragmatic approach to ruthless prioritization, ensuring the team focuses on the highest-impact opportunitiesServe 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 decisionsLead customer conversations from initial discovery through pilot definition and ongoing adoption, connecting customer needs to the SAIGE roadmapCommunicate progress, learnings, and recommendations clearly to internal and external stakeholders, including executivesSkills10+ 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 toolsDemonstrated ability to 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 valueProven 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 constraintsStrong ruthless prioritization skills: can define clear frameworks, make hard trade-offs, and say 'no' to good ideas to focus on the best onesExceptional customer-facing skills: Confident leading discovery and roadmap conversations with senior stakeholders. Skilled at uncovering real needs behind stated requirements and pressure-testing problem statementsDemonstrated ability to 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 strategiesStrong collaboration and communication: Experience working tightly with UXR, design, engineering, and research. Clear written and verbal communication across technical and non-technical audiencesAlignment with SandboxAQ values and the SAIGE principles around rapid prototyping, learning, and shared ownershipDirect experience building products involving AI / ML, quantitative models, or LLM/agentic systemsHands-on exposure to risk tools and vendor platforms (e.g., risk engines, portfolio analytics systems, or modeling platforms used in insurance and financial services)Experience in both: A high-growth startup or new product incubation context, and A large, complex environment (e.g., Big Tech, major financial institution), giving you a strong sense of how to navigate stakeholders and scale impactEducational background in a quantitative or technical field (e.g., computer science, mathematics, physics, statistics, engineering, finance, or similar)BenefitsCompetitive 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 contributionsRetirement savings with company matchingPaid parental leaveInclusive family-building benefitsFlexible paid time offCompany-wide seasonal breaksSupport for flexible work arrangements that enable sustainable performanceOpportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programsCompany OverviewSandboxAQ develops AI and quantum technology solutions that enhance biopharma, cybersecurity, and materials science. It was founded in 2016, and is headquartered in Palo Alto, California, USA, with a workforce of 51-200 employees. Its website is https://www.sandboxaq.com.Company H1B SponsorshipSandboxAQ has a track record of offering H1B sponsorships, with 7 in 2025, 6 in 2024, 3 in 2023, 5 in 2022, 1 in 2021, 5 in 2020. Please note that this does not guarantee sponsorship for this specific role.