Growth Engineer

New York City, NY (On-site)

$160K/yr – $210K/yrMid Level3+ years expFull time

Posted 3 weeks ago

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Job Summary

Own and accelerate the web, analytics, and AI-driven GTM stack that moves visitors to signed outcomes, while building internal tools and a partner hub for faster reporting and routing.

  • Responsibilities: Create fast, testable web experiences with funnel reporting and personalize at scale
  • Analytics: unify revenue journey metrics across Amplitude/GA4, attribution, and downstream decisions
  • AI/BI: ship AI-native apps and a conversational BI layer that answers business questions with trusted data

Job Description

Responsibilities

  • Build and own the customer-facing web experiences that drive top-of-funnel conversion. Make them fast to A/B test and personalize, and build the funnel reporting behind them
  • Build the internal apps, automations, and AI agents that run go-to-market, e.g. a partner hub where each partner logs into their stats and content, or automating manual reporting and lead-routing
  • Own marketing analytics and measurement: reporting, attribution, and the full journey, so the team sees what's working and iterates
  • Own web and product analytics: reconcile Amplitude with GA4, stand up AEO reporting, and stitch the full visit-to-signed-case journey
  • Build toward conversational BI: curated datasets and AI-readable docs so anyone can ask a data question and trust the answer (a v1 agent already exists)
  • Build on the central data platform (owned by a separate team) and partner closely with RevOps

Requirements

  • 3+ years as a software engineer, strong in TypeScript, React, and Next.js (our stack, deployed on Vercel); you ship production-quality frontend and hold your own on backend, data (Python/SQL), and AI tooling
  • AI-native by default: builds with LLMs and agents; bonus for shipped data or AI products
  • Strong on data too: SQL and BI, can own measurement and turn a business question into a trusted answer
  • GTM/marketing data a plus: CRM, paid media, web and product analytics, attribution
  • Bias to build, scrappy, thrives in ambiguity with high ownership
  • New York City, in-office 5 days/week

Preferred

  • Bonus for shipped data or AI products

Benefits