Senior Product Manager, Applied AI — Financial Markets

About the Role Senior Product Manager, Applied AI — Financial Markets leads applied AI products for our markets business. You will shape strategy, roadmap, and delivery from user discovery through production launch and commercial outcomes in a regulated financial environment. The role blends deep AI/cognition insight with pragmatic product leadership to ship reliable, scalable solutions that customers rely on. What You'll Do

• Shape and drive strategy, roadmap, and delivery for your AI product area — from user discovery through production launch and commercial outcomes.
• Develop a rigorous understanding of how our users reason and decide, and translate it into AI products that measurably improve their outcomes.
• Identify where modern AI genuinely beats conventional approaches across markets workflows — and where it doesn't. We rely on evidence, not enthusiasm.
• Form your own product hypotheses, prototype quickly, and back the ones the data supports.
• Ship responsibly in a regulated environment: define evaluation standards, guardrails, and auditability appropriate to financial markets.
• Stay close to the research frontier — in AI and in the science of cognition and behavior — and bring what's coming into our thinking early. What We're Looking For
• 4–8 years building and shipping products, with 2+ years on AI/LLM-powered products in production. We need someone who has owned outcomes in a commercial setting, not only studied the problem.
• Genuine depth in how intelligent systems — human or artificial — represent, learn, and decide. This might come from graduate study or research in ML, cognitive science, computational neuroscience, behavioral economics, or HCI; from publication-grade independent work; or from years of serious, demonstrable engagement with the science. We will probe this in interviews.
• Current engagement with the field: you read the papers, experiment with new models and tools as they emerge, and hold informed opinions about where this is going.
• Fluency in modern AI building blocks (LLMs, RAG, agents, evals), with the hands-on instinct to prototype your own ideas.
• Evidence of unconventional thinking that worked — a result, product, or prototype where you saw something others missed.
• Financial markets knowledge is a plus, not a prerequisite. The domain is teachable; the way you think is not. Nice to Have
• An advanced degree or publications in ML, neuroscience, cognitive science, or a related field; experience with financial data, analytics, or other regulated/high-stakes domains; a portfolio of side projects or prototypes. Compensation & Benefits
• Base salary: $126,900 - $211,500 USD per year.
• Eligible for Annual Incentive Plan (AIP)/bonus plan. Target AIP rates will be commensurate with role level and posted career stage.
• Benefits include: Annual Wellness Allowance, Paid time-off, Medical, Dental, Vision, Flexible Spending Accounts & Health Savings Options, Prescription Drug plan, 401(k) Savings Plan and Company match, basic life insurance, disability benefits, emergency backup dependent care, adoption assistance, commuter assistance, etc.