Growth Engineer

Huxley; Amsterdam; On-site; EUR 90,000 - 120,000; Full time

Job summary

Huxley is seeking an experienced Growth Engineer to join a cross-functional squad dedicated to testing a new customer experience concept. You will own experiment velocity end-to-end, designing tests, instrumenting behavior, shipping variations, and analyzing results to drive measurable improvements in trip engagement and revenue.

You will collaborate daily with product, engineering, data science, and design, blending technical execution with marketing intuition and behavioral insights to lift

Qualifications

Responsibilities

• Design and run rapid A/B and multivariate experiments across messaging touchpoints (email, push)
• Build and maintain an experiment backlog prioritized by impact, cost, and learning value
• Analyze results rigorously: statistical significance, segment effects, downstream conversion

Skills

Experiment design

A/B testing

Multivariate tests

Data analysis

Cross-functional

Tools

Analytics tooling

Experiment platforms

Dashboards

Job description

We are seeking an experienced Growth Engineer to join a dedicated task force testing a new customer experience concept against the current templated baseline. You'll own experiment velocity end-to-end: designing tests, instrumenting behavior, shipping variations, and analyzing results - blending technical execution with marketing intuition and behavioral insight.

This is a hands-on, code-shipping role embedded in a product squad. You'll collaborate with product, engineering, data science, and design daily. Your north star: measurable conversion lift on trip transactions and revenue per trip through rapid, rigorous experimentation across messaging touchpoints.

What success looks like:

• Experiment velocity: Dozens of tests designed, shipped, and conclusively measured within the task force window, with clear learnings from both wins and losses.
• Measurable lift: 2-3 mechanics identified that demonstrably move trip completion rate or revenue per trip, validated at statistical significance.
• Instrumentation coverage: Full behavioral funnel visibility from message open through downstream booking action, including cross-vertical attach rate.
• Playbook delivery: A documented, reusable set of experiment results and growth mechanics the squad can carry forward beyond the task force.

Key Responsibilities

• Experimentation & Optimization
  • Design and run rapid A/B and multivariate experiments across messaging touchpoints (email, push)
  • Build and maintain an experiment backlog prioritized by expected impact, cost, and learning value
  • Analyze results rigorously: statistical significance, segment effects, downstream conversion - not just opens and clicks
• Instrumentation & Measurement
  • Instrument user behavior end-to-end: message interaction through to booking action, cross-vertical attach, and revenue attribution
  • Define and track experiment-level KPIs aligned with squad north stars (trip completion rate, revenue per trip)
  • Build lightweight dashboards and alerting to surface experiment health and early signals
• Technical Execution
  • Ship working variations yourself: messaging templates, personalization logic, behavioral triggers, copy and creative variants
  • Build lightweight tooling and automations to accelerate experiment cycles (scripting, data pipelines, workflow glue)
  • Leverage AI/LLM tools aggressively for ideation, copy generation, audience segmentation, data analysis, and workflow automation
• Cross-Functional Enablement
  • Product & design: Translate behavioral insights into testable hypotheses and product recommendations
  • Data science/analytics: Partner on experiment design, power calculations, causal inference, and metric definitions
  • Marketing & CRM: Close feedback loops between experiment results and messaging strategy