---
title: 'Lead Product Analyst - AI Products at HighLevel'
canonical: 'https://feeny.ai/job/lead-product-analyst-ai-products-highlevel-india-0cmrwm0aavrj'
type: 'job'
last_seen: '2026-09-26'
---

# Lead Product Analyst - AI Products at HighLevel

- **Company:** HighLevel
- **Location:** India
- **Work type:** remote
- **Posted:** 2026-09-26
- **Last confirmed live:** 2026-09-26
- **Apply:** https://jobs.lever.co/gohighlevel/2ed5358c-1960-4063-a0ea-f5ae4207c426

## Job description

About HighLevel: 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.

About the Role:

We're hiring a Lead Product Analyst, AI Products to be the analytics owner and measurement lead for HighLevel's AI pillar -Voice AI, Conversation AI, AI Employee, and Ask AI. These products are shipping fast with limited analytics foundation underneath them; we would provide value by creating consistent instrumentation, agreed success metrics, and a rigorous read on adoption or quality. You'll build that from the ground up.

Your first job is to define the feature-level KPIs and success metrics each AI product is judged on. From there you'll own adoption and quality analysis and, partnering closely with the Experimentation & Causal Inference lead, bring rigor to measuring non-deterministic, fast-iterating AI features where a classic A/B read is hard. You'll work amid a data foundation still being built, consuming governed sources rather than rebuilding them, and raising the bar as you go. As the AI analytics lead, you set the measurement direction and standards for the domain and develop the analysts who join as it scales.

Responsibilities:

- Own instrumentation coverage for the AI pillar -define the events and properties each AI surface must emit, and drive them into the roadmap with PMs and engineering
- Define feature-level KPIs and success metrics for Voice AI, Conversation AI, AI Employee, and Ask AI -what "working" and "adopted" mean, made explicit and trusted
- Partner with the Experimentation & Causal Inference lead to design and read AI experiments, including measurement approaches for non-deterministic, fast-iterating systems
- Separate real signal from instrumentation gaps, novelty effects, and data maturity in every read
- Set the measurement direction and standards for the AI analytics domain -the canonical metrics and instrumentation contracts other teams build on -and mentor analysts as the pod grows
- Translate findings into clear recommendations for AI PMs and influence the roadmap without owning it
- Flag data gaps to Analytics Engineering and help shape the event taxonomy AI analytics depends on
- Use AI tooling (Claude and similar) to move faster on exploration, documentation, and analysis

Requirements:

- 7+ years in product analytics, data science, or applied statistics, with hands-on ownership of a product area's metrics end to end
- Strong instrumentation instinct -you've defined event tracking/taxonomy and driven it into a product roadmap, not just consumed existing tables
- Ability to define success metrics for a product from a standing start and get stakeholders to adopt them
- Fluency partnering on experiments (A/B design, guardrails) and interpreting results honestly
- Strong SQL and working proficiency in Python; comfort in a Snowflake + dbt environment
- Comfort working amid imperfect, in-progress data -you consume governed sources and help raise the bar rather than rebuilding pipelines
- Cross-functional influence -you shift PM priorities without direct authority in a fast-moving environment

Nice to Have:

- Experience measuring AI/ML or LLM-based product features, including non-deterministic systems
- B2B SaaS, CRM, or product-led growth background
- Experience with conversational, voice, or agent/assistant products
- Familiarity with Statsig or a comparable experimentation platform
- Exposure to AI-assisted analytics workflows

Success in this role looks like:

- The AI surfaces are instrumented to a standard that makes them measurable, with coverage gaps closed on a known schedule
- Each AI product has agreed, trusted feature-level KPIs and success metrics everyone uses
- Adoption and quality of AI features are understood by segment, not guessed at
- AI experiments are designed and read rigorously despite non-deterministic behavior
- AI PMs make roadmap calls off the analysis, and the pillar has a foundation the next analysts can build on

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.

We encourage you to review our Privacy Policy before submitting your application

## About HighLevel

## Company Overview
- **One-liner**: HighLevel provides an all-in-one, AI-powered sales and marketing platform that agencies can white-label and resell to their clients.
- **Entity Type**: Private (Series Unknown; $60M total funding)
- **Headquarters**: Dallas, Texas, United States
- **Founded**: 2018
- **Founders**: Shaun Clark, Varun Vairavan, Robin Alex

## Core Business
- **Primary industry**: Marketing technology / Sales automation / Software Development
- **Target customers**: B2B – marketing agencies, entrepreneurs, and small-to-medium businesses (SMBs)
- **Mission / Purpose**: Help marketing agencies grow and scale by unifying the tools they need to capture leads, automate outreach, and manage customer relationships in a single, white-label platform.

## Products & Services
- **HighLevel Platform (SaaS)**: A unified operating system that includes CRM, landing pages, surveys, forms, calendars, inbound phone system, automated messaging (voicemail, SMS, email, Facebook Messenger), payment collection, appointment scheduling, and analytics. AI is embedded across the entire system to power lead generation, conversion, and retention.

## Market Standing
- **Valuation / Market Cap**: Not publicly disclosed.
- **Key Metric**: Annual revenue of $45M (as of most recent data); total funding of $60M.
- **Notable Investors / Partners**: General Atlantic (lead investor in 2024 private equity round), Peakequity (lead investor in 2021 round).
- **Growth Signals**: 
  - Powers 2.2 million businesses, facilitating 6.9 billion leads and $4.2 billion in sales (2025).
  - Employee headcount grew 53.7% year-over-year to ~1,497, with plans to surpass 2,000 by end of 2025.
  - 30% of workforce dedicated to R&D.
  - Expanded AI capabilities in 2024; manages 2.3 billion leads and 505 million opportunities.

## Competitive Advantages
- **White-labeling**: Agencies can fully rebrand the platform as their own, creating a stickier client relationship and recurring revenue.
- **AI-first approach**: AI embedded across the entire stack (lead scoring, automation, analytics) gives users a competitive edge without needing multiple tools.
- **Unified ecosystem**: Replaces the need for a patchwork of separate tools (CRM, email marketing, SMS, scheduling, payments), reducing complexity and cost for agencies.
- **Community-driven innovation**: Product roadmap heavily influenced by a large, active user community of 60,000+ customers.

## Strategic Focus
- **AI expansion**: Deepening AI capabilities to automate more of the marketing and sales workflow.
- **Scaling the platform**: Continuing to grow the user base (targeting 2,000+ employees) and expanding into new verticals.
- **Global reach**: Leveraging a remote-first, globally distributed team to serve customers in multiple countries and time zones.

## Why Work Here
- **Remote-first culture**: Work from anywhere; team spans 21 countries with async and real-time communication.
- **Culture of collaboration**: Emphasis on ownership, speed, continuous improvement; active Slack community and in-person retreats.
- **Benefits**: Comprehensive health & wellness, mental health support, flexible PTO, professional development stipends, mentorship, and leadership programs.
- **Engineering culture**: 30% of workforce in R&D; focus on building technology that serves millions; AI tools used in hiring process.
- **Growth opportunity**: Rapidly scaling company (53.7% YoY headcount growth) with clear plans to surpass 2,000 employees.

## Sources
1. [gohighlevel.com – Life at HighLevel](https://www.gohighlevel.com/careers-life-at-highlevel)
2. [gohighlevel.com – About Us](https://www.gohighlevel.com/about-us)
3. [LinkedIn – HighLevel Company Page](https://www.linkedin.com/company/highlevel)
4. [LeadIQ – HighLevel Overview](https://leadiq.com/c/highlevel/5b214cbe360000fc0066929d)

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