Associate, Marketplace Quant ($140K - $170K + Equity) at Series A AI Marketplace Startup

About the job

Job Title: Associate, Marketplace Quant

Salary: $140K – $170K + competitive equity

Location: San Francisco, CA (on-site) | Visa sponsorship available

Company Description: Series A AI marketplace startup, SF, 8x revenue last year, $65M total raised

Job Description: Join one of the fastest-growing marketplace companies in SF at the ground floor of a quantitative function that barely exists yet. This company 8x'd revenue last year, just closed a $20M Series A backed by top-tier marketplace investors and operators, and counts some of the most well-known and fastest-scaling companies in tech among its customers. As an Associate on the Marketplace Quant team you will shape the structural design of the marketplace itself, the financial products, subsidies, pricing schemes, payouts, and matching mechanics that govern how it clears. This is greenfield work, not incremental tuning, and the design directly informs how a fast-scaling two-sided marketplace runs at every level.

Why this role is remarkable:

* Do genuinely 0 to 1 quantitative work at a marketplace that has never existed before, designing the pricing and incentive structures from scratch rather than inheriting someone else's model and tweaking it at the margins

* Join at the Series A inflection point of a company that 8x'd revenue last year, backed by top-tier marketplace investors and operators, with real equity upside and direct exposure to senior leadership from day one

* Work on one of the most analytically interesting problems in marketplace design today, applying causal inference, behavioral economics, and experiment design to a proprietary dataset that no one else has access to

What you will do:

* Shape the structural design of the marketplace including financial products like subsidies, pricing schemes, and payouts, plus the matching mechanics that govern how supply and demand clear, doing greenfield work that directly informs how the platform runs

* Apply causal inference methods including fixed effects, propensity score matching, and regression discontinuity to measure the ROI of marketplace interventions and translate quantitative insight into real operational decisions

* Work across business teams and non-technical stakeholders, turning messy workflows into structured SOPs and dashboards and switching fluently between qualitative and quantitative contexts as the marketplace scales

The ideal candidate:

* 0 to 1 years of experience with at least one strong signal from a two-sided marketplace, finance, or analytically rigorous environment, whether through an internship at a top-tier company, a research program or fellowship, or standout graduate research, with a degree in Physics, Mathematics, Data, or a quant-related field from a top university

* Strong SQL and Python or R in a statistical context, plus experience with experiment design and analysis across A/B, multivariate, and cohort methodologies, and ideally some exposure to causal analysis methods like propensity score matching, regression discontinuity, or mediator variables

* Always in go-mode with a bias toward action, capable of 0 to 1 thinking about a marketplace that has never existed before, and someone who has done at least one thing that is undeniably exceptional, whether in research, a project, or a personal pursuit

Next steps

1. Apply via this LinkedIn job post

2. We’ll review and reach out if there’s a strong match

3. If aligned, we’ll introduce you directly to the team

If this role isn’t the right fit, we may suggest and make introductions to other high-signal startup roles we’re recruiting for – always with your permission.

A quick note on authenticity

This is a real, active role we’re supporting in partnership with the hiring team. We don’t post speculative roles and work closely with teams on their actual hiring needs.