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GoHighLevelVerified from GoHighLevel's careers page · Lever

Sr. Product Analyst – Lead Generation

  • India
  • On-site
  • 4-7 Years
  • Posted Oct 29, 2026

At a glance

Sr. Product Analyst – Lead Generation at GoHighLevel, an on-site role based in India. Experience level: 4-7 Years. Posted on 29 October 2026, read from GoHighLevel's own careers page (Lever), which RealAnalystJobs re-checks daily and removes the role when it closes.

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About this role

About HighLevel 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. About the Team 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 Senior Product Analyst who can independently lead analytical work, deepen our understanding of customer behavior, identify growth opportunities, and help Product Managers make faster, better-informed decisions. About the Role HighLevel is looking for a highly analytical and product-minded Senior 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 the most meaningful opportunities exist to improve their experience. You will own analytical projects end to end: framing the right questions, defining the approach, validating the data, conducting the analysis, and translating findings into clear recommendations. Your work will span the complete customer journey, from activation and feature adoption to engagement, conversion, retention, and monetization. This is a hands-on individual contributor role with a strong emphasis on independent ownership, product judgment, and cross-functional influence. Beyond delivering reports, you will proactively surface opportunities, challenge assumptions, and help Product Managers determine what we should build, why we should build it, and whether what we shipped actually worked. Responsibilities Own end-to-end product analyses across Funnels, Websites, Forms, Surveys, Domains, SEO, Listings, and other LeadGen products, turning ambiguous questions into structured analyses and actionable recommendations. Partner with Product Managers to define success metrics and measurement frameworks for product areas and initiatives, covering activation, adoption, engagement, retention, conversion, and monetization. Build and maintain dashboards that give Product Managers and leadership clear visibility into product health, emerging trends, and business outcomes, while enabling teams to answer recurring questions independently. Lead funnel and journey analyses to identify friction and drop-offs across onboarding, creation, publishing, lead capture, and other critical workflows. Conduct cohort, segmentation, and retention analyses to understand differences across customer segments, usage patterns, and lifecycle stages—and identify where targeted improvements could have the greatest impact. Partner with Product Managers to size opportunities, validate hypotheses, evaluate trade-offs, and prioritize initiatives based on potential customer and business impact. Define measurement plans before feature launches, establish baselines, and evaluate adoption and outcomes after release. Communicate what the evidence supports, where uncertainty remains, and what to do next. Partner with Product, Engineering, and Data teams to define events, properties, tracking requirements, and instrumentation, ensuring critical customer journeys can be measured reliably. Proactively identify data quality issues and tracking gaps, investigate their impact, and work with relevant teams to improve the consistency and reliability of product analytics. Designand analyze A/B tests and product experiments, including hypotheses, success metrics, guardrail metrics, and interpretation of results, to support statistically sound decisions. Contribute to requirements definition and feature validation across multiple initiatives, including success criteria and pre-launch validation. Lead customer research, including interviews and surveys, and combine it with quantitative data and support-ticket signalsLead deep-dive and root-cause analyses when important metrics change unexpectedly, distinguishing meaningful shifts from data issues, seasonality, or changes in customer mix. Proactively rec

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