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Software Engineer, Growth

ReplitFoster City, CA (Hybrid) In office M,W,F🌍 Remote
Full-timeMid Level
$180k - $250k
per year
👁️ 0 views📝 0 applicationsPosted 1/6/2026Expires 9/1/2026

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Job Description

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 are seeking a highly technical, data-driven Growth Engineer to help scale our product and expand key user metrics across acquisition, activation, retention, and monetization.

Growth Engineering sits at the intersection of engineering, product, and marketing—leveraging code, experimentation, and analytics to uncover opportunities and deliver measurable impact.

What You’ll Do Drive Experimentation & Optimization Design, implement, and analyze rapid A/B and multivariate tests to validate hypotheses and improve key KPIs. Identify bottlenecks in user funnels and develop technical solutions to improve conversion rates throughout the user lifecycle.

Build and Scale Growth Features Build growth-oriented product features such as onboarding flows, referral systems, and automated engagement loops. Develop scalable code and infrastructure that supports growth initiatives and experimentation frameworks.

Leverage Data & Metrics Collaborate with data teams to instrument tracking, build dashboards, and derive insights from user behavior data. Use SQL and analytics tools to deeply analyze cohorts, engagement metrics, and experiment outcomes.

Cross-Functional Collaboration Partner closely with product managers, designers, marketers, and data scientists to align on growth goals and execution plans. Translate business goals into technical requirements and implement pragmatic solutions that drive sustainable growth.

Continuous Innovation Stay updated on industry trends and growth-oriented technologies and propose new tactics to accelerate growth. Automate repetitive tasks and build internal tools to empower faster experimentation and execution. Required Qualifications Bachelor’s degree in Computer Science, Engineering, or