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.

Responsibilities

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

Experience

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

Compensation

The cash compensation range for this role is $140,000 - $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

Health: Access comprehensive health insurance, including medical, dental, vision, flexible spending account (FSA), and short-term disability.

Wealth: Support for your long-term financial wellbeing with a 401(k) and pre-tax benefits (e.g. commuting).

Rest: Enjoy flexibility to rest and recharge as needed, with unlimited PTO (Paid Time Off).

Flexibility: Work flexibly with a hybrid setup - typically team members spend a minimum of three days in the office per week.

Travel: Grow and connect with a travel budget that encourages conference attendance, customer visits, and team gatherings.

Equipment: Create your ideal workspace with an office Equipment allowance to set up what works best for you.

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.