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
The Lead Generation Team owns some of the most important products businesses use to build their digital presence and generate leads on HighLevel.
Our product portfolio includes Funnels, Websites, AI Studio, Forms, Surveys, Quizzes, Domains, Media, QR Codes, Listings, SEO, Analytics, Tracking, and other lead-generation experiences.
Millions of funnels, websites, forms, and other digital experiences are created using HighLevel. Our goal is to help agencies and businesses not only create these experiences but continuously improve their ability to attract visitors, capture leads, and drive conversions.
Data plays a critical role in how we make product decisions. We are looking for a Product Analyst who can help us deeply understand customer behavior, identify growth opportunities, measure product outcomes, and enable Product Managers to make faster and better data-driven decisions.
HighLevel is looking for a highly analytical and curious Product Analyst to join our Lead Generation Product team.
You will work closely with Product Managers, Engineering, Design, Data, and GTM teams to understand how customers discover, adopt, and use our products and where opportunities exist to improve their experience.
You will analyze the complete customer journey — from activation and feature adoption to engagement, conversion, retention, and monetization — and translate large amounts of product data into clear insights and recommendations.
This is not just a reporting role. We expect you to proactively identify patterns, ask the right questions, challenge assumptions, and help Product Managers determine what we should build, why we should build it, and whether what we shipped actually worked.
Type: Full Time – Remote (India)
Analyze product usage and customer behavior across Funnels, Websites, Forms, Surveys, Domains, SEO, Listings, and other LeadGen products to identify trends, friction points, and growth opportunities.
Define, monitor, and analyze key product metrics including activation, adoption, engagement, retention, conversion, and monetization.
Build and maintain dashboards and reports that give Product Managers and leadership clear visibility into product health and business outcomes.
Perform funnel and journey analysis to understand where users drop off across onboarding, creation, publishing, lead capture, and other critical workflows.
Conduct cohort, segmentation, and retention analysis to understand how behavior differs across customer segments, product usage patterns, and lifecycle stages.
Partner with Product Managers to size opportunities, validate product hypotheses, prioritize initiatives, and quantify potential customer and business impact.
Measure feature launches before and after release to understand adoption, engagement, and impact, and recommend improvements based on the results.
Partner with Product and Engineering teams to define events, properties, tracking requirements, and instrumentation for new and existing features.
Identify gaps or inconsistencies in product analytics and work with relevant teams to improve the quality and reliability of our tracking data.
Support experimentation and A/B testing by defining success metrics, analyzing experiment results, and helping teams make statistically sound decisions.
Combine quantitative product data with qualitative signals such as customer interviews, surveys, support tickets, and feedback to develop a complete understanding of customer problems.
Perform deep-dive and root-cause analyses when important product or business metrics change unexpectedly.
Proactively identify opportunities to improve lead generation, conversion rates, product adoption, engagement, and retention across the LeadGen suite.
Present complex analyses in simple, actionable narratives for Product Managers, Engineering, Design, and leadership.
Develop a strong understanding of our customers, competitive landscape, and LeadGen ecosystem to provide context behind the numbers rather than reporting metrics in isolation.
1-3 years of experience in Product Analytics, Business Analytics, Data Analytics, Product Operations, or a related role.
Strong proficiency in SQL and experience working with large datasets.
Strong analytical skills with the ability to translate ambiguous business or product questions into structured analysis.
Experience with product analytics or BI tools such as Amplitude, Mixpanel, Pendo, Tableau, Looker, Power BI, or similar platforms.
Strong understanding of product metrics such as activation, adoption, engagement, retention, conversion, churn, and monetization.
Experience with funnel analysis, cohort analysis, segmentation, and user journey analysis.
Strong proficiency with Excel or Google Sheets for analysis and reporting.
Ability to create clear dashboards and communicate insights through effective data visualization.
Experience working closely with Product Managers, Engineering, Design, and other cross-functional teams.
Ability to communicate complex findings in simple business terms and turn analysis into actionable recommendations.
Strong problem-solving skills, attention to detail, and intellectual curiosity.
Experience with Python for data analysis, including libraries such as Pandas and NumPy.
Experience designing or analyzing A/B tests and product experiments.
Understanding of event-based product analytics, instrumentation, tracking plans, and event taxonomy.
Familiarity with Google Analytics, Google Tag Manager, pixels, attribution, or web analytics.
Understanding of websites, funnels, conversion rate optimization, digital marketing, or lead-generation products.
Experience working in B2B SaaS, MarTech, CRM, website builders, or high-growth technology companies.
Familiarity with APIs and an ability to understand how data flows between systems.
Strong analytical and problem-solving mindset.
Curiosity to go beyond what happened and understand why it happened.
Ability to independently investigate ambiguous problems.
Strong product and customer thinking, not just data analysis skills.
Ability to prioritize across multiple analyses and product areas.
Excellent written and verbal communication skills.
Comfortable challenging assumptions using data.
Ability to operate effectively in a fast-moving, remote environment.
Strong collaboration skills and ability to influence decisions without authority.
A successful Product Analyst in the Lead Generation team will help us move from “we think this is happening” to “the data tells us why this is happening and what we should do next.”
Your work will directly influence product strategy, roadmap prioritization, experimentation, and investment decisions across HighLevel's Lead Generation portfolio.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.
