Senior Product Manager

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'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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

---