Product Manager - Finance

Samaya AI
Mountain View, California, United States; New York, New York, United States$110k – $210kPosted 18 April 2026

Job Description

Role As one of Samaya's Finance Product Managers, you will own the domain strategy that enables thousands of investment professionals to unlock actionable insights from vast, noisy datasets. You’ll be the bridge between our Product, ML Research, and Engineering teams - defining real‑world financial workflows, curating evaluation datasets, and validating AI outputs in live client pilots. Your expertise will directly shape our AI platform’s capabilities in valuation, modeling, and due diligence, keeping Samaya at the forefront of expert intelligence for finance. This is a unique opportunity to work at the cutting edge of technology, supporting a team building next-generation tools for financial professionals. You’ll gain exposure to real-world applications of AI in a high-growth startup environment and work alongside experts across product, engineering, and machine learning. This role is your gateway into the world of AI — offering hands-on experience and an excellent foundation for building a career in one of the most transformative fields of our time. Responsibilities Translate core investment banking, private equity, and buy‑side workflows into product requirements and success metrics Design and build proprietary benchmarks, test suites, and datasets for model evaluation Partner with ML Researchers to fine‑tune models, craft prompt strategies, and validate AI outputs against expert standards Co‑pilot client pilots with leading financial institutions, gather feedback, and iterate product features rapidly Author internal playbooks on best practices for AI‑augmented financial analysis Surface high‑impact insights to inform roadmap prioritization Work in the trenches — e.g., grading answers, agent execution traces — getting the models to do expert financial workflows requires a lot of things that look like associate work Experience Required 3+ years at a top-tier investment bank, private equity firm, hedge fund, or buy‑side portfolio team Deep expertise in one or more of financial modeling, valuation, capital markets research, and deal execution Proven ability to translate ambiguous problems into actionable requirements and measurable outcomes Exceptional written and verbal communication with senior stakeholders Preferred Hands‑on experience scripting in Python or SQL for data analysis Prior experience at a fast‑growing fintech or AI startup Compensation The cash compensation range for this role is $110,000 - $210,000. Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above. In addition to the base salary, we may consider equity as part of our total compensation package. Benefits Comprehensive health insurance coverage (medical, dental, vision, and short-term disability) to support your health and wellbeing Support your long-term financial well-being with 401K Flexibility to rest and recharge with unlimited PTO Travel budget to provide opportunities for learning and collaboration by attending conferences, visitings other offices, and more Office equipment allowance to enhance the comfort of your workspace Hybrid work environment to promote balance and flexibility, with typically 3 (or more) days in the office per week Inclusive Hiring Interview Accommodations: We are committed to ensuring an equitable selection process for everyone and welcome applicants from varied backgrounds to enrich our team. If you require accommodations or adjustments during our recruitment process, please inform us. Equal Opportunity Employer: We do not discriminate on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor. Visa Sponsorship: We do sponsor visas! However, we aren't able to ... (truncated, view full listing at source)
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