Growth Engineer: Demand Gen

Replit•Foster City, CA

56d•Hybrid

About The Position

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide and over 500,000 business users, Replit is democratizing software development by removing traditional barriers to application creation. About Replit Replit is pioneering the future of software creation, bringing powerful AI development to everyone, from first-time builders to enterprises. Our mission is to empower the next billion software creators by collapsing the distance between idea and shipped software. Replit Agent is one of the fastest-growing AI products (10 → 250m ARR in 10 months), and we're just getting started. About the Role We're looking for an Engineer focused on acquisition and demand generation. You'll own server-side, multi-channel engineering and the API integrations that power our marketing programs-from email nurture to organic and paid acquisition to affiliate loops. Working closely with Marketing, you'll architect feedback systems that let campaigns self-optimize, ship instrumentation that drives insights, and run experiments that measurably improve how we attract and convert new users.

Requirements

2-4+ years building and shipping user-facing products with measurable growth impact; you've meaningfully moved acquisition or revenue metrics at scale.
Full-stack TypeScript experience across React, APIs and backend.
Strong product sense + analytical rigor: you write SQL, define success metrics, and know when to pivot or double-down.
Experience with experimentation platforms (homegrown or vendor), event schemas, and cohort/segmentation analysis.
Bias to action: you prototype quickly, validate with users, and ship.

Responsibilities

Build the plumbing for autonomous marketing programs: Design and maintain server-side frameworks, event pipelines, and API integrations across email (Iterable), paid platforms (Google Ads, LinkedIn), affiliate networks, and analytics warehouses (BigQuery).
Own integrated infrastructure: Instrument data events across acquisition funnels, landing pages, email sequences, and in-product activation flows; ensure statistical rigor, proper attribution, and clean holdout groups.
Ship growth systems that close feedback loops: Build targeting/segmentation logic, dynamic offer engines, real-time performance dashboards, and automated campaign optimization rules that react to conversion data.
Collaborate cross-functionally: Partner with Marketing, Product, Data, and Sales to translate business strategies into technical specs, campaign architectures, and measurable experiments that drive incremental revenue and customer acquisition.