Seamless.AI

Senior Growth Engineer, Full-Stack

Seamless.AI

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Senior

Tech Stack

AWSCloudDynamoDBJavaScriptNode.jsPostgresReactTableauTypeScript

About the role

  • Collaborate with growth, product, and data teams to design and implement A/B tests and growth experiments focused on user activation.
  • Build, deploy, and maintain full-stack features and experiment infrastructure (frontend + backend).
  • Implement and manage feature flagging systems to enable rapid testing and controlled rollouts.
  • Work with GrowthBook (or similar experimentation platforms) to set up, track, and analyze experiments.
  • Instrument and track user behavior in Amplitude and other analytics platforms to generate insights.
  • Write clean, scalable, and maintainable code across the React frontend and Node.js backend.
  • Monitor and evaluate experiment outcomes, providing actionable insights and recommendations.
  • Balance speed of experimentation with engineering best practices, ensuring quality while moving quickly.
  • The #1 goal is to increase user activation, feature adoption, and time-to-value to maximize customer retention and satisfaction.

Requirements

  • 5+ years of experience as a full-stack engineer (startup or growth-focused environment preferred)
  • Strong proficiency in modern JavaScript/TypeScript (React.js, Node.js)
  • Proficiency with modern database technologies (PostgreSQL, Vector DBs, OpenSearch, DynamoDB)
  • Proficiency with Cloud architecture and scalability best practices, in particular AWS (Lambda, serverless, cloud-native services)
  • Hands-on experience with A/B testing platforms (GrowthBook, Optimizely, LaunchDarkly, etc.)
  • Familiarity with feature flag systems and controlled experiment rollout strategies
  • Experience with product analytics tools (Amplitude, Segment, Tableau)
  • Ability to translate growth hypotheses into technical experiments quickly and iteratively
  • Strong data-driven mindset with the ability to evaluate experiment outcomes statistically
  • Comfortable working in fast-moving, cross-functional growth teams
  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience)
  • Proven experience delivering full-stack features and experiment infrastructure in a fast-paced environment
  • Demonstrated ability to collaborate across engineering, product, and growth teams
  • Strong problem-solving and analytical skills with a data-first approach
  • Visa sponsorship is not available; applicants must be authorized to work in the U.S.