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ReplitReplit

Software Engineer, Growth

Growth Engineer builds and optimizes features to scale user acquisition, activation, retention, and monetization through A/B testing, data analysis, and cross-functional collaboration. Requires 3+ years experience, strong programming in Node/Python/JS, and SQL.

About the job

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 related technical field (or equivalent experience).
  • 3+ years of professional software engineering experience.
  • Strong programming skills (e.g., Node, Python, JavaScript/TypeScript, Go).
  • Experience with data analysis and database query languages (e.g., SQL).
  • Familiarity with instrumentation, analytics tools (e.g., Amplitude), and experimentation frameworks.
  • Comfort with designing and interpreting experiments grounded in statistical thinking.

What Success Looks Like

  • Measurable improvements in user acquisition, onboarding, retention, and activation via experiments.
  • Scalable, well-instrumented growth capabilities that reduce manual effort and increase velocity.
  • Growth strategies and systems that become integrated into product development and long-term planning.

Skills

Node.js, Python, JavaScript, TypeScript, Go, SQL, Amplitude

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