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 4 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 hostnames.
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.
Role Overview
We are seeking a Staff Product Manager - AI (Growth) to drive adoption, engagement, and revenue across HighLevel’s AI product suite. This role is responsible for ensuring AI products are discoverable, valuable, sticky, and monetizable across millions of businesses.
You will focus on user-facing AI experiences, activation loops, pricing and packaging, GTM strategy, and growth experimentation to maximize business impact from AI.
Key Responsibilities:
AI Growth Strategy & Vision
- Define the AI growth strategy aligned with HighLevel’s revenue, retention, and expansion goals.
- Identify where AI can most meaningfully move core business metrics across segments and verticals.
- Translate AI capabilities into clear user value propositions.
Adoption, Activation & Monetization
- Own AI adoption funnels: discovery → activation → depth → retention → expansion.
- Design onboarding, prompts, defaults, and in-product education to drive AI usage.
- Partner with pricing and GTM teams on AI packaging, trials, and monetization strategies.
- Optimize conversion to paid AI offerings and expansion across accounts.
Experimentation & Analytics
- Define and track AI growth metrics including activation rates, WAU/MAU, retention, depth of usage, and revenue contribution.
- Run experiments across UX, pricing, messaging, and feature access.
- Use data and qualitative insights to continuously refine growth strategy.
Product Launch & GTM
- Lead AI product launches with strong positioning and storytelling.
- Collaborate with marketing, sales, support, and customer success to drive adoption.
- Translate complex AI capabilities into simple, outcome-focused narratives for users.
Market & Competitive Intelligence
- Stay deeply informed on AI product trends, competitors, and emerging use cases.
- Identify gaps and opportunities to differentiate HighLevel’s AI experiences.
- Feed market insights back into product and platform strategy.
Success Metrics
- AI product adoption and engagement across the customer base
- Revenue and expansion driven by AI products
- Retention and stickiness of AI-enabled accounts
- Effectiveness of AI onboarding and activation
- Speed and impact of AI growth experiments
Stakeholder Communication
- Regularly communicate product strategy, decisions, milestones, and insights to stakeholders and executives.
- Provide guidance to teams working across functions and divisions, ensuring organizational alignment.
- Be the subject matter expert on AI use cases, product development, and market fit across the org.
Qualifications
- 10+ years of product management experience, ideally in growth or monetization roles.
- Proven track record of scaling SaaS products through adoption and revenue.
- Highly data-driven with experience running experiments and funnels.
- Deep familiarity with AI technologies such as LLMs, NLP, ML models, agent builders, and chat/voice bots.
- Understanding of how AI integrates into SaaS environments and how SaaS ecosystems work.
- Strong track record in leading cross-functional teams in agile environments.
- Excellent product sense, GTM collaboration skills, and communication capabilities.
What We’re Looking For
- Domain Knowledge: A strong grasp of AI technologies and their practical applications in SaaS workflows and customer use cases.
- Strategic Thinking: Ability to drive complex product strategies that align user value with business growth and IPO readiness.
- Analytical Rigor: Strong analytical thinking and ability to use data and experimentation to inform decisions.
- User-Centric Mindset: Deep empathy for users, with a passion for solving real-world problems using intuitive and intelligent product experiences.
- Bias for Action: Operates with urgency, adapts quickly, and thrives in ambiguity.
- Communication Excellence: Can clearly articulate product strategy, decisions, and trade-offs to both technical and non-technical audiences.
- Ethical Leadership: Ensures AI development is aligned with compliance, ethical standards, and responsible innovation.
Why Join HighLevel?
- Collaborative, driven, and remote-first culture.
- Empowered to take ownership and drive outcomes.
- Focused on building user value with speed and agility.
- Continuous learning and innovation encouraged at all levels.
- Be a key part of scaling one of the fastest-growing platforms in the AI + SaaS space.
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.
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