Trusted by leading financial institutions, Samaya AI accelerates research, automates complex workflows, and delivers sharper investment insights with speed and precision. Backed by NEA, AI Grant and Air Street.
About the role
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.
What they're looking for
- 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
- Technical fluency — hands-on scripting in Python or SQL for data analysis
More about this role
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...
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