Based on the role Growth Engineer
Growth Engineer
A career-spanning roadmap from analytics-curious to mid-level Growth Engineer. The trunk gives you the complete throughline — measurement, experimentation, instrumentation, AARRR systems, monetization, GTM motions, and growth leadership — and clusters let you go deep on specific topics (Bayesian A/B testing, identity resolution, paid attribution, lifecycle email, dark patterns) when they matter.
52 lessons
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Main Path
What you'll learn
Main Path
The mandatory throughline of this roadmap.
Unit 1
Becoming a Growth Engineer (GTM)
A career-spanning roadmap from analytics-curious to mid-level Growth Engineer. The trunk gives you the complete throughline — measurement, experimentation, instrumentation, AARRR systems, monetization, GTM motions, and growth leadership — and clusters let you go deep on specific topics (Bayesian A/B testing, identity resolution, paid attribution, lifecycle email, dark patterns) when they matter.
52 lessons
- What Growth Engineering Actually Is
- Pirate Metrics — The AARRR Lifecycle
- North Star Metrics — One Number to Steer By
- Leading vs Lagging Indicators
- Vanity vs Actionable Metrics
- Events, Properties, and Tracking Plans
- Funnels and Cohorts — The Two Workhorse Analyses
- Probability and the Central Limit Theorem
- Hypothesis Testing — Null, P-Values, and Confidence
- A/B Test Design — Sample Size, Power, MDE
- Frequentist A/B Testing in Practice
- Statistical Pitfalls — Peeking, Simpson's, Survivorship
- The Modern Analytics Data Stack
- Client-Side and Server-Side Tracking
- Identity Resolution — Stitching Anonymous to Authenticated
- Data Warehousing for Growth — Star Schema and Sessions
- ETL/ELT Pipelines and Reverse ETL
- Growth Loops vs Funnels
- SEO Engineering and Programmatic SEO
- Paid Acquisition Infrastructure
- Attribution — First-Touch, Last-Touch, Multi-Touch
- Deep Linking and Cross-Platform Routing
- The Aha Moment and Activation Metric
- Onboarding Flow Architecture
- Friction Reduction in Signup and First-Use
- Retention Curves and Habit Formation
- Notification Engineering and Lifecycle Email
- Churn Prediction and Early Warning
- Viral Mechanics — K-Factor and Cycle Time
- Referral Program Architecture
- Pricing Pages and Plan Comparison
- Paywalls, Feature Gates, and Metered Limits
- Billing Integration and Subscription Lifecycle
- SaaS Business Mechanics — MRR, ARR, NRR
- Unit Economics — CAC, LTV, Payback Period
- Product-Market Fit Signals
- GTM Motions — PLG, SLG, and Hybrid
- PLG Engineering — Self-Serve and Freemium
- Product-Qualified Leads (PQLs)
- Free-to-Paid Conversion Engineering
- The Modern Martech Stack
- Customer Data Platforms (CDPs)
- Customer Lifecycle Engineering
- Personalization — Rules, Behavior, Recommendations
- AI-Powered Growth — LLMs and Dynamic Content
- Real-Time Orchestration and Feature Stores
- Growth Team Structures and Where You Fit
- Experiment Prioritization — ICE, RICE, PIE
- Communicating Growth Results
- Dark Patterns and Sustainable vs Extractive Growth
- The Experimentation Flywheel
- The Growth Engineer's Career
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Frequently asked questions
What does the Growth Engineer roadmap cover?
1 unit: Becoming a Growth Engineer (GTM).
How do I start the Growth Engineer roadmap?
Get the Mochivia app on the App Store and open this roadmap there.
Start Growth Engineer
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