Lead the strategy and execution for recommendation systems, cross-promotion, and ads monetization initiatives to enhance user growth and revenue.
About us
HighLevel is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. Today, HighLevel supports SMBs across 150+ countries, fueling community-driven growth rooted in real customer outcomes.
To date, businesses operating on HighLevel have generated over $7 billion in ecosystem value, demonstrating the impact of shared infrastructure at scale. By centralizing conversations, automation and intelligence into one system, we help businesses move faster, reduce complexity and execute efficiently.
Behind the platform, HighLevel powers more than 4 billion API hits and 2.5 billion message events daily. With 250 terabytes of distributed data, 250+ microservices and over 1 million domain names supported, our architecture is built for performance, resilience and long-term scalability.
Our people
With over 2,000 team members across 10+ countries, HighLevel operates as a global, remote-first organization built for speed and ownership. We value initiative, clarity and execution, creating space for ambitious people to build systems that support millions of businesses worldwide. Here, innovation thrives, ideas are celebrated and people come first, no matter where they call home.
Our impact
Every month, HighLevel enables more than 1.5 billion messages, 200 million leads and 20 million conversations for the more than 1 million businesses we support. Behind those numbers are real people building independence, expanding opportunity and creating measurable impact. We’re proud to be a part of that.
Learn more about us on our YouTube Channel or Blog Posts
HighLevel is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. Today, HighLevel supports SMBs across 150+ countries, fueling community-driven growth rooted in real customer outcomes.
To date, businesses operating on HighLevel have generated over $7 billion in ecosystem value, demonstrating the impact of shared infrastructure at scale. By centralizing conversations, automation and intelligence into one system, we help businesses move faster, reduce complexity and execute efficiently.
Behind the platform, HighLevel powers more than 4 billion API hits and 2.5 billion message events daily. With 250 terabytes of distributed data, 250+ microservices and over 1 million domain names supported, our architecture is built for performance, resilience and long-term scalability.
Our people
With over 2,000 team members across 10+ countries, HighLevel operates as a global, remote-first organization built for speed and ownership. We value initiative, clarity and execution, creating space for ambitious people to build systems that support millions of businesses worldwide. Here, innovation thrives, ideas are celebrated and people come first, no matter where they call home.
Our impact
Every month, HighLevel enables more than 1.5 billion messages, 200 million leads and 20 million conversations for the more than 1 million businesses we support. Behind those numbers are real people building independence, expanding opportunity and creating measurable impact. We’re proud to be a part of that.
Learn more about us on our YouTube Channel or Blog Posts
Role Overview
We’re looking for a Senior Product Manager to lead the strategy and execution for our recommendation systems, Boosts (cross-promotion), and Ads monetization initiatives.
You’ll own the end-to-end product vision for how creators, publishers, and businesses grow and monetize their audience across our platform – inspired by ecosystems like Substack, Beehiiv, and their recommendation/ads networks – and turn that into a coherent roadmap and shipped outcomes. This is a highly strategic role with massive impact on revenue, creator growth, and network effects.
What You’ll Own
Strategy & Vision:
- Own the north-star vision and roadmap for:
- Subscriber/content recommendations surfaces
- Boosts / cross-promotion marketplace
- Ads monetization (on-network and partner inventory)
- Translate company strategy into clear, measurable product outcomes (e.g. revenue per subscriber, LTV, ARPU, activation & retention).
- Map and deeply understand the ecosystem: creators, advertisers, agencies, and end readers/customers.
Recommendations – New Format & Growth Engine:
- Define and evolve a recommendation system that helps users discover the most relevant content, creators, and offers.
- Partner with Data/ML to
- Design ranking & recommendation algorithms
- Define training data needs and feedback loops
- Ship experiments that improve click-through, conversion, and downstream value.
- Own the UX of recommendation surfaces (widgets, feeds, carousels, in-product placements) to balance growth, user value, and trust.
- Build experimentation and measurement frameworks for A/B tests and multi-variant experiments around recommendations.
Monetize (Boosts)
- Cross-Promotion MarketplaceOwn the Boosts product: a marketplace where creators/brands can promote each other, grow lists, and drive incremental subscribers/customers.
- Define matching logic, pricing/credits models, eligibility rules, and quality/reputation signals.
- Design simple but powerful flows for: Buying and managing boosts, Approving/reviewing partners, Monitoring performance (CPC, CPA, net new subs, ROI).
- Ensure the marketplace has the right guardrails to prevent abuse, spam, and low-quality promotion.
Execution & Cross-Functional Leadership
- Translate vision and PRDs (Recommendations – New Format, Monitize Boosts, Monitize Ads, etc.) into prioritized, outcome-driven roadmaps.
- Run structured discovery: interviews, prototypes, data deep-dives, and competitive analysis (Substack, Beehiiv, etc.).
- Collaborate closely with:
- Engineering to plan, scope, and deliver high-quality releases
- Design to create intuitive, scalable UX
- Data to instrument metrics and build robust dashboards
- Sales/CS/Marketing to shape GTM, positioning, and feedback loops
- Drive alignment and narrative: clearly communicate tradeoffs, decisions, and progress to stakeholders and leadership.
What You’ll Bring
- 6+ years in Product Management
- Experience in one or more of:
- Recommendations / personalization / ML-driven products
- Ads platforms or ad networks
- Marketplaces or cross-promotion/growth products
- Creator platforms, email/newsletters, or content networks (Substack, Beehiiv, etc.).
- Strong analytical and technical fluency: Comfortable working with Data/ML teams, Can define robust metrics and experimentation plans, Can reason about system design, APIs, and data flows at a high level.
- Proven track record of moving key business metrics (revenue, ARPU, activation, retention, engagement).
- Demonstrated ability to lead without authority, influence cross-functional partners, and drive alignment across product, engineering, and GTM.
- Excellent written and verbal communication; can create crisp narratives for both executive stakeholders and individual contributors.
How Success Will Be Measured (First 12 Months)
- A clear, aligned 12–18 month roadmap for recommendations, Boosts, and Ads is defined and in execution.
- Meaningful improvements in:
- Recommendation performance (CTR, conversion, downstream LTV)
- Boosts marketplace health (volume, match quality, ROI for participants)
- Ads monetization metrics (revenue, RPM, fill, advertiser retention)
- Strong internal adoption and understanding of these products by Sales, CS, and Marketing.
- You are seen as the single-threaded owner and strategic leader for this domain.
Equal Employment Opportunity Information
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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