Toggle AI

Product Manager, Data, New York

New York, New York, United States · Senior

Sponsorship not specified$130k-$170kDetected 56 days ago

PythonGoData EngineeringOutbound SalesM&AResearch

About the role

Take capabilities built inside Reflexivity and ship them into partner products.
You will work closely with partner product and engineering teams to decide what to integrate, map their constraints to ours, and get production-grade functionality live inside someone else's environment.

Reflexivity builds an AI-native investment analysis platform for institutional investors, combining trusted financial data, knowledge graphs, document intelligence, and explainable AI to surface actionable insights instead of noise.
Alfred, our financial reasoning engine, helps investment teams move from question to evidence-backed analysis faster - across research, screening, portfolio insights, scenario analysis, and partner integrations.
Our data squad sits at the center of some of the company's most important relationships with major partners.
Reflexivity consumes partner data across pricing, M&A, corporate events, fundamentals, ownership, news, and text documents - and also packages Reflexivity capabilities back into partner products, improving their surfaces with the intelligence we have built.
You will lead the data squad - four engineers, two Python and two Golang - and act as the day-to-day product owner for the data and product flows between Reflexivity and major partners.
Run a working session with a partner engineering team to align on schema mapping for a new dataset

3-5 years as a PM, TPM, or technical/data role with PM-shaped responsibilities.
You can read schemas, reason about APIs and data pipelines, talk to engineers as peers, and write specs that backend engineers can execute without multiple clarification rounds.
Comfort running external partnerships.
You can read the room when their internal constraints or politics are affecting the work.

Background in financial data - market data, fundamentals, corporate actions, ownership, news, research, or alternative data from providers such as Bloomberg, FactSet, S&P Global, Moody's, ICE, Nasdaq, Cboe, or similar
Experience as a data or technical PM at an early-stage startup, where the role spans well beyond its formal description
CS, math, finance, or quantitative degree - or a self-taught track record that proves the same thing

We are looking for a sharp, technically fluent product owner to take it over, raise the bar, and keep the system scaling.

This listing is sourced directly from Toggle AI's careers page and normalized into a canonical job model.