Product Lead, Growth Marketing

Replit•Foster City, CA

1d•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, Replit is democratizing software development by removing traditional barriers to application creation. About the Role We're looking for an AI-native product growth lead to own Replit's entire paid acquisition and lifecycle marketing engine as the single DRI. This is an IC role for someone who builds systems, not just campaigns. Someone who uses AI and automation aggressively to do what traditionally requires an entire team. You don't need an engineering background. You need the instinct to build: when you see a repetitive task, you reach for Replit or an API before you reach for a spreadsheet. You'll have data science and data engineering partners for infrastructure and modeling, and brand marketing will set creative direction. Your job is to turn that direction into a closed-loop optimization system: a self-improving system that turns performance data into better creative, optimizes spend across channels in near-real-time, and compounds every insight so nothing learned is ever lost. Each cycle, the system gets smarter. That's the engine you'll build and own. The ideal candidate has deep channel expertise across paid search, paid social, and lifecycle, but their real edge is building AI-powered workflows that scale creative production, automate measurement, and compound institutional knowledge.

Requirements

5+ years in performance marketing across at least two major paid channels (search, social, ASO, or programmatic)
Hands-on experience building AI-powered marketing workflows — not just prompting, but durable systems that run and improve on their own
Deep understanding of conversion tracking, attribution, and signal quality — you know the difference between filtering conversions and excluding audiences
Data-literate: comfortable with SQL, dashboards, and statistical rigor without needing a data team to interpret results
Track record managing significant budgets with clear ROI accountability
Strong experimentation instincts — structured test-and-learn programs, not one-off A/B tests

Nice To Haves

You've built your own tooling for marketing operations — bonus if you can show a portfolio of what you've built
Experience in developer-focused or PLG companies where paid and organic reinforce each other
You've thrived as a solo operator or on a very lean team
Comfortable with a modern data stack and warehouse-driven workflows
Hands-on experience with server-side conversion APIs and the postback lifecycle
You've brought measurement rigor and experimentation culture to a team that didn't have it before
You've scaled paid acquisition across geos with dramatically different unit economics

Responsibilities

Own full-funnel performance marketing across paid search & social, ASO, and lifecycle
Build a self-improving creative engine: AI-driven ad generation, testing, and iteration that scales without scaling headcount
Maintain a persistent knowledge layer so every experiment, result, and creative insight compounds automatically into the next cycle
Own conversion signal quality end-to-end: right events, right audiences, right attribution, partnering with DE on the infrastructure
Run a structured experimentation program where every test feeds a feedback loop, not a one-off report
Automate performance reporting and alerting — your system flags problems (creative fatigue, CAC shifts, payback drift) before anyone has to ask
Build geo-differentiated strategies across market tiers and decompose performance by region before diagnosing aggregate shifts
Build the system that allocates spend, prioritizes tests, and rotates under-performers — the math makes the decisions; you build and own the engine that produces them