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Credit Genie
New York, United States; Philadelphia, Pennsylvania, United States
Source: Credit Genie careers · View original posting
From Credit Genie's posting. “We” and “our” refer to the employer.
Company
Credit Genie is a mobile-first financial wellness platform designed to help individuals take control of their financial future. We leverage artificial intelligence to provide personalized insights and are building a financial ecosystem by offering tools and services that provide instant access to cash, and building credit. Our goal is to empower every customer to achieve long-term financial stability.
Founded in 2019 by
Ed Harycki
, former Swift Capital Founder ( acquired by PayPal in 2017
). Backed by Khosla Ventures and led by industry pioneers from companies such as; PayPal, Square, and Cash App, we are well positioned to build the future of inclusive finance through cutting-edge technology and customer-centric solutions.
We’re looking for a MarTech / Growth Engineer to sit at the intersection of Marketing, Engineering, Data, Product, and Operations.
This is a hands-on engineering role focused on using technology to solve growth problems. You’ll own and evolve the technical infrastructure that powers customer acquisition, engagement, and retention across marketing data, attribution, lifecycle automation, experimentation, advertising platforms, and AI-powered workflows.
You’ll be a hands-on builder, writing code, connecting APIs, designing data flows, automating workflows, implementing tracking, prototyping new capabilities, and shipping solutions directly.
At the same time, you’ll need to understand the business problems behind the technology. You should be equally comfortable debugging an event payload, querying a funnel in SQL, implementing an API integration, and sitting with a marketer to figure out how to improve campaign performance.
The goal is simple: make our growth organization dramatically more technical, automated, data-driven, and capable of moving faster.
Within your first year, Marketing should be able to move faster with less dependency on traditional engineering teams
. Our growth data should be more trustworthy, attribution should be more reliable, experiments should be easier to launch, lifecycle marketing should be more sophisticated, and repetitive operational work should increasingly be handled by software and AI.
Most importantly, you’ll help build a growth organization where the distance between
“we have an idea” and “we tested it with customers” becomes dramatically shorter.
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