India onlyTo 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 PeopleWith 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 ImpactEvery 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 or our YouTube Channel or Blog Posts
Role Overview
As a Sr. PSE – SEO & AI Search, you will go beyond ticket resolution and act as a product and domain expert. You will own complex customer issues, influence product improvements, and help shape HighLevel’s strategy across:
Traditional SEO (technical + on-page)
AI SEO (content optimization for AI-driven systems)
LLM SEO (optimization for generative search platforms)
Local SEO (Google Business Profile, listings, reviews, Yext)
Key Responsibilities
1. Advanced Issue Resolution & Ownership
Act as the highest escalation point for SEO-related issues across:
Websites, Funnels, Blogs
Domains & DNS configurations
Indexing, crawling, rendering issues
Structured data & schema
Local listings (Yext, GBP)
Debug complex problems involving:
Crawlability (robots.txt, sitemap, canonicalization)
Page speed/Core Web Vitals
JavaScript rendering issues (SSR vs CSR implications)
Work cross-functionally with Engineering, Product, and Support to drive resolution.
2. AI SEO & LLM Optimization Expertise
Diagnose and guide issues related to:
Content visibility in AI search platforms (ChatGPT, Gemini, Perplexity)
Structured content for LLM ingestion (semantic markup, embeddings-ready content)
Help define best practices for:
AI-readable content structures
Entity-based SEO
Knowledge graph optimization
Work on improving:
Internal linking strategies for LLM discoverability
Content chunking and context optimization
3. Local SEO & Listings Excellence
Own debugging and optimization for:
Google Business Profile integrations
Yext listings sync issues
NAP consistency and citation management
Analyze ranking drops in local pack and suggest actionable fixes
Guide teams on:
Review signals and reputation management
Proximity vs relevance vs prominence factors
4. Product Influence & Feedback Loop
Identify recurring patterns and translate them into:
Product improvements
Feature requests
Automation opportunities
Partner with Product Managers to:
Define roadmap for SEO & AI SEO features
Improve onboarding and UX for SEO tools
Actively contribute to PRDs and product discussions
5. Technical Depth & Debugging
Analyze and troubleshoot using:
APIs (indexing APIs, integrations)
Databases and logs
Browser dev tools
Work with:
Vue.js-based frontend
REST APIs
MongoDB (or similar)
Understand and debug:
Rendering issues affecting SEO
Tracking scripts (external tracking, analytics, pixels)
6. Documentation & Enablement
Create high-quality documentation for:
SEO troubleshooting playbooks
AI SEO best practices
LLM optimization frameworks
Enable support teams with:
Clear SOPs
Training sessions
Escalation guidelines
7. Mentorship & Leadership
Mentor junior PSEs and support engineers
Drive quality standards in issue resolution
Lead deep-dive sessions on SEO, AI SEO, and technical debugging
Requirements
Bachelor’s degree in Computer Science, IT, or related field
4–7+ years of experience in:
Technical support / Solution Engineering / SEO Engineering
Strong expertise in:
Technical SEO (indexing, crawling, rendering, schema)
Website performance & Core Web Vitals
Domain, DNS, SSL configurations
Hands-on experience with:
Google Search Console, GA4
SEO tools (Ahrefs, SEMrush, Screaming Frog, etc.)
Working knowledge of:
APIs, databases, and frontend frameworks (Vue.js preferred)
Strong analytical and debugging skills
Excellent communication with ability to explain complex SEO issues simply
Preferred Qualifications
Experience with:
AI SEO / Generative search optimization
LLM behavior and content optimization strategies
Familiarity with:
Knowledge graphs, entities, and semantic SEO
Experience working on:
SaaS platforms or website builders
Prior experience influencing product roadmap
United States