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Ambrook

Software Engineer, Growth

New York (Remote)$115k–$280kfulltimemidAdded today

About this role

Ambrook, a Series B fintech serving family-run farms and businesses, seeks a Growth Engineer to accelerate platform adoption by building systems that enable rapid experimentation across landing pages, activation flows, and checkout. You'll partner with marketing, sales, and product teams to drive revenue growth using data-driven approaches while maintaining high experimental rigor.

What you'll do

  • Own and maintain growth infrastructure including landing pages, activation flows, checkout systems, and experiment frameworks
  • Drive experimentation velocity by enabling marketing, sales, and product teams to iterate faster and test hypotheses
  • Build end-to-end growth surfaces instrumented for measurement and learning
  • Collaborate with cross-functional teams to identify bottlenecks and implement technical solutions
  • Champion data hygiene, security, and privacy practices across growth systems
  • Share learnings on conversion, activation, and retention best practices across the organization

What they're looking for

  • Full-stack development with Next.js, React, and TypeScript
  • Mobile development experience with React Native/Expo
  • Data analysis and SQL proficiency (BigQuery, PostgreSQL)
  • A/B testing and experimentation design
  • API integration and backend systems design
  • Google Cloud Platform infrastructure
  • Analytics instrumentation and product metrics
  • Cross-functional collaboration and communication
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Ambrook

Ambrook builds AI-powered financial software for family-run businesses in agriculture, construction, and other underserved industries, featuring intelligent document parsing, transaction automation, and modern financial infrastructure. The company is hiring full-stack engineers, design engineers, AI specialists, and recruiting talent to scale its product and team.

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Likely interview questions

  • Walk us through a growth experiment you've owned end-to-end—what hypothesis did you test, how did you measure it, and what did you learn?
  • Describe your experience building or maintaining experimentation infrastructure. What made it successful or challenging?