Engineering Manager – AI Growth

Job Description

About Us:

HighLevel is an AI powered, all-in-one white-label sales & marketing platform that empowers agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. We are proud to support a global and growing community of over 2 million businesses, comprised of agencies, consultants, and businesses of all sizes and industries. HighLevel empowers users with all the tools needed to capture, nurture, and close new leads into repeat customers. As of mid 2025, HighLevel processes over 15 billion API hits and handles more than 2.5 billion message events every day. Our platform manages over 470 terabytes of data distributed across five databases, operates with a network of over 250 microservices, and supports over 1 million domain names.

Our People

With over 1,500 team members across 15+ countries, we operate in a global, remote-first environment. We are building more than software; we are building a global community rooted in creativity, collaboration, and impact. We take pride in cultivating a culture where innovation thrives, ideas are celebrated, and people come first, no matter where they call home.

Our Impact

As of mid 2025, our platform powers over 1.5 billion messages, helps generate over 200 million leads, and facilitates over 20 million conversations for the more than 2 million businesses we serve each month. Behind those numbers are real people growing their companies, connecting with customers, and making their mark - and we get to help make that happen.

About the Role:

We are seeking an Engineering Manager AI Growth to lead the engineering efforts that fuel adoption, distribution, and monetisation of our AI products. This team will own the systems and features that directly drive revenue, usage, and ecosystem growth, including pricing, subscriptions, marketplace, partner dashboards, and data-driven growth initiatives.

You will partner closely with Product, Marketing, and Partnerships to experiment rapidly, scale what works, and ensure the success of AI builders, agencies, and SMBs on our platform.

Requirements:

- 8+ years of engineering experience, with 2+ years in management
- Proven track record in growth engineering, monetisation systems, or marketplace platforms
- Strong knowledge of subscription billing, entitlements, and payments
- Experience working on growth experiments (A/B testing, distribution levers, campaign tech)
- Hands-on experience with Node.js and front-end frameworks (Vue.js/React/Angular)
- Excellent leadership, cross-functional collaboration, and execution skills
- Data-driven mindset; familiarity with analytics, growth metrics, and experimentation frameworks

Responsibilities:

- Mentor and coach individuals on the team
- Perform evaluations and give feedback to help them progress
- Planning for fast and flexible delivery by breaking down into milestones
- Increase efficiency by patterns, frameworks and processes
- Improving product and engineering quality
- Help drive product strategy
- Design and plan open-ended architecture that are flexible for evolving business needs

Team-Specific Focus Areas:

- Monetization: Pricing experiments, subscription tiers, billing promos, AI Employee, and usage-based models.
- Distribution: AI Agent Marketplace, Snapshots
- Growth Campaigns: Contests, promotions, and ecosystem-wide initiatives
- Partner Ecosystem: Tools, dashboards, and reporting for agencies & partners
- Data-Driven Growth: Build data infrastructure to analyze adoption, usage patterns, and optimise growth levers

EEO Statement:

The company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government recordkeeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision.