Product Manager - Finance

As one of Samaya's Finance Product Managers, you'll own the domain strategy that helps investment professionals find actionable insights in 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 the platform's capabilities in valuation, modeling, and due diligence.

This is a hands-on role for someone who already knows finance deeply and wants to shape how AI does that work, rather than advise on it from a distance. Your financial judgment sets the standard the product is held to, and you should expect to be in the detail day to day, in a fast-moving startup where the playbook is still being written.

Product & Domain

• →Translate financial workflows — turn investment banking, private equity, buy-side, and sell-side research workflows into product requirements and success metrics
• →Author playbooks — codify best practices for AI-assisted financial analysis
• →Surface insights — bring high-signal findings back to inform roadmap priorities

Evaluation & Pilots

• →Build the evals — design proprietary benchmarks, test suites, and datasets for model evaluation
• →Partner with ML Research — work with researchers to refine models, shape prompt strategies, and validate outputs against expert standards
• →Run client pilots — co-pilot pilots with leading financial institutions, gather feedback, and iterate fast
• →Work in the detail — grade answers and audit agent execution traces; getting models to do expert financial work involves a lot that looks like associate-level work

Required

• Institutional Finance Background — 3+ years at a top-tier investment bank, hedge fund, asset manager, or buy-side/sell-side research team (equity research included)
• Deep finance expertise — strong command of one or more of financial modeling, valuation, capital markets research, and deal execution
• Translates ambiguity — proven ability to turn ambiguous problems into clear requirements and measurable outcomes
• Exceptional communicator — clear written and verbal communication with senior stakeholders
• Genuine AI fluency — you use AI in your work concretely, not just in passing

Preferred

• Technical fluency — hands-on scripting in Python or SQL for data analysis
• Both sides of research — exposure to both sell-side and buy-side research models
• Startup exposure — prior experience at a fast-growing fintech or AI startup

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 successfully sponsor visas for every role and every candidate. If we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

Samaya AI builds Expert AI Agents for investment professionals, supporting high-stakes investment workflows across leading financial institutions. By combining finance-specific AI models with deep reasoning over institutional context and global markets, Samaya helps investors go from information to conviction. Samaya is deployed at enterprise scale across hedge funds, asset managers, and banks, including more than 12,000 professionals at one of the world's largest financial institutions. Built by a team from Google DeepMind, Meta, Microsoft, and Stanford with 100+ papers and 50k+ citations, it achieves 98% accuracy on financial reasoning tasks where generic LLMs reach 53%. Backed by leading AI investors including NVIDIA, Databricks Ventures, NEA, Eric Schmidt, and Yann LeCun, Samaya continues to advance the next generation of AI for investment professionals.

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