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Head of Growth (AI Tools)

Heads of Growth at AI tools companies drive user acquisition and expansion. They own growth strategy and metrics.

Median Salary

$260,000

Job Growth

Growing — growth leaders increasingly important

Experience Level

Entry to Leadership

Salary Progression

Experience LevelAnnual Salary
Entry Level$160,000
Mid-Level (5-8 years)$260,000
Senior (8-12 years)$380,000
Leadership / Principal$550,000+

What Does a Head of Growth (AI Tools) Do?

Heads of Growth at AI tools companies drive user acquisition and expansion metrics. They develop growth strategy, design and execute growth experiments, optimize conversion funnels, build growth teams, and partner with product on growth-enabling features.

A Typical Day

1

Metrics: Review key growth metrics (DAU, MAU, CAC, LTV, retention)

2

Experiments: Design and launch growth experiments (A/B tests)

3

Analysis: Analyze user behavior and conversion funnels

4

Content: Develop growth content and messaging

5

Partnerships: Develop partnerships for distribution

6

Team: Manage growth team (marketers, engineers, analysts)

7

Strategy: Refine growth strategy based on experiments

Key Skills

Growth strategy
Product analytics
Experimentation
Marketing
User psychology
Metrics/analytics

Career Progression

Heads of Growth typically progress to VP of Growth, Chief Product Officer, or Chief Revenue Officer roles.

How to Get Started

1

Growth: 6+ years in growth marketing or growth engineering

2

Analytics: Strong product analytics and experimentation skills

3

Technical: Ability to design experiments and analyze data

4

Product sense: Understanding of product and user psychology

5

SaaS: Experience with SaaS or software product growth

6

AI/tech: Working on AI or tech products

Frequently Asked Questions

What's different between growth and marketing?

Marketing focuses on awareness. Growth focuses on user acquisition, activation, retention, expansion. Metrics-driven experimentation culture.

What's the scope?

Acquisition (product marketing, campaigns), activation (onboarding, feature discovery), retention (engagement, virality), expansion (monetization).

What's AI-specific?

AI tools have unique acquisition challenges (education needed, high barrier to trial). Growth strategies differ.

How do you measure success?

CAC (customer acquisition cost), LTV (lifetime value), retention, monthly active users, conversion rates.

What team size?

Ranges from individual contributor to 20+ team including product marketers, growth engineers, analysts.

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Last updated: 2026-03-07