Martech/Engineer
Listed on 2026-10-01
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Software Development
AI Engineer (Applied/Software), Backend Developer, Software Engineer, Full Stack Developer
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 Pay Pal in 2017). Backed by Khosla Ventures and led by industry pioneers from companies such as;
Pay Pal, 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 Mar Tech / 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.
What You’ll Do- Own the growth tech stack
. Own and improve the platforms and infrastructure powering acquisition, attribution, lifecycle marketing, analytics, and experimentation. - Build and own marketing data infrastructure. Design and maintain the pipelines that move customer data, identities, audiences, events, and conversions across our data and marketing ecosystem, ensuring data is accurate, reliable, and available where it’s needed.
- Automate growth operations. Apply strong engineering practices to eliminate manual workflows across marketing, reporting, campaign operations, QA, and experimentation.
- Build AI-native marketing capabilities. Embed AI into how Marketing operates, building agents and tools that can create, launch, optimize, and iterate on campaigns, not just analyze performance.
- Own attribution & measurement
. Build and maintain conversion tracking across Meta, Google, Tik Tok, Apps Flyer, web, and mobile- including pixels, SDKs, server-side events, UTMs, and deep links. - Enable lifecycle & experimentation
. Build the data flows, triggers, audiences, and infrastructure that let teams launch sophisticated lifecycle programs and experiments quickly. - Prototype growth ideas
. Build landing pages, internal tools, scripts, automations, and lightweight product experiences to quickly test new opportunities. - Turn data into action
. Use analytics tools to diagnose funnels, measure experiments, identify opportunities, and improve growth performance. - Explore emerging technology
. Continuously test new AI, Mar Tech, advertising, and developer tools and bring the highest-leverage capabilities into our stack.
- You’re a builder
. You can write code, work with APIs, query data, debug integrations, and ship solutions independently. - You understand growth
. You’re comfortable with acquisition, conversion, retention, lifecycle marketing, experimentation, attribution, and marketing ROI. - You’re comfortable across the…
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