WHO ARE WE? Launch Potato is the discovery and conversion company.
We reach tens of millions of people every month through our brands, including FinanceBuzz, All.
We turn that attention into real outcomes for our partners, some of the world's leading companies.
Our mission: create predictable, high-value customer acquisition at scale by connecting discovery, intent, and performance across category-leading consumer brands in finance, travel, and entertainment.
We run profitable and bootstrapped, with a South Florida HQ and a remote-first team across 18 countries.
WHY JOIN US? You own outcomes here, not tasks.
We measure work by impact, not activity.
The pace is real, and change is constant, so the people who do best turn change into opportunity instead of waiting for it to settle.
Feedback runs direct and lands with respect.
Ordinary people make themselves extraordinary at Launch Potato.
MUST HAVE: Proven experience in digital marketing, performance marketing, or the leadgen industry Building adtech algorithms and supporting user acquisition or paid media modeling (highly desired) Strong modeling fundamentals: the ability to build effective models that drive business impact Multi-year, hands-on experience building and deploying ML solutions in the AWS cloud Hands-on experience across core technique areas: multi-armed bandit / reinforcement learning, recommendation and ranking systems (content-based, collaborative filtering, hybrid), funnel and monetization optimization, LTV modeling Expert Python and SQL EXPERIENCE: 5+ years in a hands-on, in-the-weeds applied data science role delivering measurable business impact.
YOUR ROLE Own the full data science engine for a priority vertical, from business problem to deployed model to live ROAS performance, driving measurable revenue and media efficiency.
This is a hands-on, in-the-weeds role: you are heavily immersed in the data and the modeling, framing the business problem directly with.