Growth Engineer

The scientific bedrock of growth engineering — statistics, data pipelines, event instrumentation, and experimentation platforms. These skills haven't fundamentally changed; only the tools have. The ability to measure, instrument, and run valid experiments is the foundation of all growth work.

• Instrumentation & Data Pipelines(35 concepts)

  • Collection Layer Architecture
  • Browser Event Capture
  • Server-Side Event Emission
  • Anonymous User Identification
  • Star Schema for Events
  • Batch vs Stream Processing
  • Data Validation Rules
  • Ingestion Pipelines
  • Mobile SDK Instrumentation
  • Webhook Processing
  • User Stitching Across Sessions
  • Event & Session Tables
  • Incremental Loading Patterns
  • Anomaly Detection in Event Streams
  • Storage Layer Design
  • Web vs App Tracking Trade-Offs
  • API Event Ingestion
  • Cross-Device Identity Graphs
  • Dimension Tables & SCD
  • Data Transformation Layers
  • Schema Evolution & Versioning
  • Transformation Frameworks
  • Consent & Tag Management
  • Event Validation & Schemas
  • Deterministic vs Probabilistic Matching
  • Warehouse Architecture Patterns
  • Pipeline Orchestration
  • Data Lineage Tracking
  • Visualization & BI Layer
  • Performance Impact of Tracking
  • Event Enrichment Pipelines
  • GDPR Deletion & Identity
  • Query Optimization for Analytics
  • Reverse ETL for Activation
  • Privacy Compliance Engineering
• Experimentation Platform Engineering(25 concepts)

  • Flag Architecture & Storage
  • Random Bucketing Algorithms
  • Metric Definitions & Binding
  • Automated Significance Testing
  • Self-Serve Experiment Creation
  • Targeting Rules & Segments
  • Deterministic Hashing
  • Metric Aggregation Pipelines
  • Segmented Result Analysis
  • Experiment Review Processes
  • Percentage Rollouts
  • Mutual Exclusion Layers
  • Statistical Computation at Scale
  • Interaction Effect Detection
  • Velocity Metrics & Tracking
  • Kill Switches & Safety
  • Holdout Groups
  • Guardrail Metrics
  • Experiment Reports & Documentation
  • Experimentation Culture Building
  • Flag Lifecycle Management
  • Experiment Namespaces
  • Pre-Experiment Power Checks
  • Learning Repository Design
  • Maturity Model Assessment
• Statistics for Experimentation(34 concepts)

  • Null & Alternative Hypotheses
  • Sample Size Calculation
  • Z-Tests for Proportions
  • Prior Distributions
  • Probability Fundamentals
  • Multi-Armed Bandits
  • Simpson's Paradox
  • Normal Distribution
  • P-Values & Significance
  • Statistical Power Analysis
  • T-Tests for Means
  • Posterior Updates & Credible Intervals
  • Contextual Bandits
  • Survivorship Bias
  • Binomial Distribution
  • Confidence Intervals
  • Minimum Detectable Effect
  • Sequential Testing Methods
  • Probability of Being Best
  • Multivariate Testing
  • Novelty & Primacy Effects
  • Central Limit Theorem
  • Type I & Type II Errors
  • Test Duration Planning
  • Multiple Comparison Corrections
  • Bayesian vs Frequentist Trade-Offs
  • Quasi-Experiments & Causal Inference
  • Selection Bias & Confounders
  • Sampling Distributions
  • One-Tailed vs Two-Tailed Tests
  • Randomization Methods
  • The Peeking Problem & Early Stopping
  • Loss Functions for Decisions
  • Interleaving & Interaction Effects
• Growth Analytics Foundations(24 concepts)

  • Pirate Metrics (AARRR)
  • Event-Driven Data Model
  • Cohort Construction
  • Behavioral Segmentation
  • Dashboard Hierarchy
  • North Star Metrics
  • Event Naming Conventions
  • Retention Curve Reading
  • Demographic Segmentation
  • Chart Type Selection
  • Leading vs Lagging Indicators
  • Event Properties & Schema
  • Funnel Definition & Mapping
  • RFM Analysis
  • Alerting & Anomaly Flags
  • Vanity vs Actionable Metrics
  • Identity Resolution Basics
  • Conversion Rate Analysis
  • Segment-Based Analysis
  • Executive Reporting & Storytelling
  • Metric Hierarchies
  • Tracking Plans
  • Drop-Off Diagnosis
  • Dynamic vs Static Segments

The technical craft of building systems across the user lifecycle — acquisition, activation, retention, referral, and monetization. The AARRR framework is stable across every business model; the engineering patterns for each stage endure even as specific platforms change.

• Monetization Engineering(25 concepts)

  • Plan Comparison UI Design
  • Hard vs. Soft Paywalls
  • Subscription Lifecycle State Machine
  • Upsell Trigger Identification
  • Dunning Sequence Design
  • Feature Matrix Implementation
  • Metered Usage Gates
  • Webhook Handling & Idempotency
  • Seat-Based Expansion Flows
  • Smart Payment Retry Logic
  • Upgrade Prompt Placement
  • Reverse Trial Design
  • Plan Change & Proration Logic
  • Usage Threshold Notifications
  • Card Update Flows
  • Social Proof in Pricing
  • Feature-Flag-Based Gating
  • Tax & Invoice Engineering
  • Upgrade Flow Optimization
  • Grace Period Management
  • Responsive Pricing Page Layouts
  • Gate Analytics & Tracking
  • Billing Event Tracking
  • Expansion Revenue Metrics
  • Involuntary Churn Prevention
• Activation & Onboarding Engineering(25 concepts)

  • Activation Metric Identification
  • Onboarding Funnel Construction
  • Form Field Optimization
  • Guided Tours & Tooltips
  • Onboarding Email Drip Sequences
  • Aha Moment Discovery
  • Progressive Disclosure Patterns
  • Social & SSO Login Integration
  • Interactive Tutorials
  • Push Notification Triggers
  • Behavioral Correlates of Retention
  • Branching & Personalized Flows
  • Smart Defaults & Auto-Configuration
  • Contextual Help Systems
  • In-App Message Timing
  • Time-to-Value Measurement
  • Checklist-Driven Onboarding
  • Inline Validation Patterns
  • Milestone Celebrations
  • Channel Selection Logic
  • Activation Rate Benchmarks
  • Empty State & Sample Data Design
  • Progressive Profiling
  • Onboarding Analytics & Instrumentation
  • Frequency Capping During Onboarding
• Acquisition Engineering(30 concepts)

  • Growth Loops vs. Funnels
  • Technical SEO & Crawlability
  • SSR for Performance
  • Tracking Pixel Implementation
  • First-Touch & Last-Touch Models
  • Universal Links & App Links
  • Viral Loop Mechanics
  • Structured Data Markup
  • Dynamic Landing Page Personalization
  • Conversion API Integration
  • Multi-Touch Attribution Approaches
  • Deferred Deep Linking
  • Content Loop Mechanics
  • Core Web Vitals Optimization
  • Progressive Enhancement
  • Postback URLs & Server Events
  • UTM Taxonomy & Enforcement
  • App-to-Web Handoffs
  • Paid Acquisition Loops
  • Programmatic SEO at Scale
  • Mobile-First Optimization
  • Offline Conversion Upload
  • Attribution Data Pipelines
  • Web-to-App Funnels
  • Sales-Assisted Loops
  • Content Velocity Systems
  • Page Speed Engineering
  • Campaign Parameter Taxonomy
  • Cross-Channel Data Joining
  • Deep Link Routing Architecture
• Referral & Viral Engineering(24 concepts)

  • K-Factor & Viral Coefficient
  • Double-Sided Incentive Design
  • Share Mechanic Implementation
  • Self-Referral Detection
  • Direct vs. Indirect Network Effects
  • Viral Cycle Time
  • Unique Code & Link Generation
  • Pre-Populated Content & Deep Links
  • Duplicate Account Identification
  • Critical Mass Dynamics
  • Viral Loops vs. Network Effects
  • Reward Fulfillment Systems
  • Share Sheet Integration
  • Incentive Abuse Pattern Recognition
  • Network Density & Value
  • Branching Factor Optimization
  • Referral Tracking Infrastructure
  • User-Generated Shareable Content
  • Velocity & Anomaly Checks
  • Cross-Side Effects in Platforms
  • Viral Saturation & Ceiling
  • Referral Program Lifecycle Management
  • Social Proof Mechanics
  • Referral Fraud Scoring Models
• Retention & Engagement Engineering(25 concepts)

  • Retention Curve Shapes & Interpretation
  • Trigger-Action-Reward-Investment Loop
  • Send-Time Optimization
  • Drip Campaign Architecture
  • User Health Score Models
  • Day-N vs. Rolling Retention
  • Variable Reward Design
  • Frequency Capping Systems
  • Behavioral Trigger Design
  • Leading Churn Indicators
  • Retention by Cohort Analysis
  • Investment Mechanics in Products
  • Notification Content Personalization
  • Re-engagement Email Sequences
  • Churn Prediction Model Design
  • Retention Benchmarks by Category
  • Commitment Devices
  • Multi-Channel Orchestration
  • Win-Back Campaigns
  • Early Warning Alert Systems
  • Churn Rate Calculation Methods
  • Habit Frequency & Scheduling
  • Opt-Out & Preference Management
  • Email Deliverability Engineering
  • Automated Intervention Triggers

The business and strategic layer that separates a growth hacker from a growth engineer — business models, unit economics, GTM motions (PLG vs SLG), marketing technology, lifecycle orchestration, and cross-functional leadership. These evolve slowly and form the basis for senior growth roles.

• Martech & Automation Engineering(25 concepts)

  • Martech Architecture Overview
  • Unified Customer Profile Construction
  • Trigger-Based Workflow Design
  • Multi-Touch Attribution Models
  • Warehouse-Native Marketing
  • Tool Category Taxonomy
  • CDP Event Collection & Routing
  • Lead Nurturing Sequences
  • Attribution Data Collection
  • Audience Sync Pipelines
  • Martech Integration Patterns
  • Audience Segmentation Engines
  • Automation Scoring Models
  • Touchpoint Stitching Algorithms
  • Data Enrichment Workflows
  • Build vs Buy Decisions
  • Activation Destinations & Syncs
  • Dynamic Content Systems
  • Attribution Reporting Dashboards
  • Operational Analytics Patterns
  • Stack Evaluation Frameworks
  • CDP Architecture Patterns
  • Workflow Orchestration at Scale
  • Incrementality Testing
  • Data Activation Architecture
• Growth Models & Business Fundamentals(24 concepts)

  • MRR & ARR Fundamentals
  • Customer Acquisition Cost (CAC)
  • New MRR Decomposition
  • Input-Output Growth Models
  • Retention-Based PMF Benchmarks
  • Churn Rate Types & Calculation
  • Lifetime Value (LTV)
  • Expansion MRR
  • Sensitivity Analysis
  • PMF Survey Methodology
  • Net Revenue Retention
  • Payback Period
  • Churned & Contraction MRR
  • Scenario Planning
  • Organic vs Paid Growth Ratios
  • Expansion Revenue Dynamics
  • CAC-to-LTV Ratio
  • Net New MRR Calculation
  • Growth Lever Identification
  • Word-of-Mouth Indicators
  • SaaS Growth Benchmarks
  • Contribution Margin
  • SaaS Quick Ratio
  • Model-Driven Prioritization
• Lifecycle Orchestration & Personalization(25 concepts)

  • Lifecycle Stage Definitions
  • Rule-Based Personalization
  • Collaborative Filtering Basics
  • LLM-Powered Personalization
  • Event Streaming for Decisioning
  • Stage Transition Triggers
  • Behavioral Personalization
  • Content-Based Filtering
  • Intelligent User Segmentation
  • Feature Stores for Personalization
  • Lifecycle-to-Communication Mapping
  • Content Personalization Strategies
  • Hybrid Recommendation Approaches
  • Dynamic Content Generation
  • Low-Latency Personalization Systems
  • Lifecycle Dashboards
  • Experience Personalization
  • Cold-Start Problem Solutions
  • Conversational Growth Experiences
  • Channel Coordination Architecture
  • Lifecycle Optimization Strategies
  • Personalization Measurement & ROI
  • Recommendation Evaluation Metrics
  • Ethical AI in Growth Engineering
  • Orchestration Platform Design
• Cross-Functional Growth Leadership(25 concepts)

  • Growth Team Structures
  • ICE Scoring Framework
  • Experiment Review Cadence
  • Experiment Report Writing
  • Dark Patterns Identification & Avoidance
  • Cross-Functional Collaboration Models
  • RICE Scoring Framework
  • Growth Learning Repositories
  • Dashboard Storytelling Techniques
  • Sustainable vs Extractive Growth
  • Growth vs Product vs Marketing Boundaries
  • PIE Prioritization Framework
  • Velocity Tracking & Optimization
  • Stakeholder Growth Presentations
  • User Trust as Growth Lever
  • Stakeholder Management for Growth
  • Opportunity Sizing Methods
  • Growth Process Documentation
  • Memo Writing for Growth Decisions
  • Growth Engineering Career Ladder
  • Building Growth Culture
  • Quarterly Growth Roadmap Construction
  • Growth Tooling Decisions
  • Decision Documentation Practices
  • IC vs Management Growth Track
• GTM Motion Architecture(25 concepts)

  • Product-Led Growth Overview
  • Self-Serve Signup Architecture
  • PQL Criteria Definition
  • CRM Integration Patterns
  • Trial Optimization Strategies
  • Sales-Led Growth Overview
  • In-Product Conversion Mechanics
  • Lead Scoring Model Construction
  • Lead Routing Systems
  • Conversion Funnel Instrumentation
  • Hybrid & Multi-Motion Strategies
  • Freemium Design Patterns
  • Trigger-Based Sales Alerts
  • Sales Enablement Tooling
  • Pricing Page Experimentation
  • Community-Led Growth
  • Reverse Trial Engineering
  • Sales Handoff Engineering
  • Deal Velocity Tracking
  • Plan Recommendation Engines
  • Choosing Your GTM Motion
  • Viral PLG Loops
  • PQL vs MQL Distinction
  • Pipeline Analytics Engineering
  • Upgrade Friction Reduction