About the job
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.
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
Qualifications
Minimum
- 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
Preferred
- 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