Sr. Product Solution Engineer - Visibility AI

About Us Keystone AI is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. Today, Keystone AI supports SMBs across 150+ countries, fueling community-driven growth rooted in real customer outcomes. To date, businesses operating on Keystone AI 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, Keystone AI 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, Keystone AI 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, Keystone AI 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 Keystone AI ’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 wit