Engineering Manager - Gen AI

About HighLevel:HighLevel is an AI powered, all-in-one white-label sales & marketing platform that empowers agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. We are proud to support a global and growing community of over 2 million businesses, comprised of agencies, consultants, and businesses of all sizes and industries. HighLevel empowers users with all the tools needed to capture, nurture, and close new leads into repeat customers. As of mid 2025, HighLevel processes over 4 billion API hits and handles more than 2.5 billion message events every day. Our platform manages over 470 terabytes of data distributed across five databases, operates with a network of over 250 microservices, and supports over 1 million hostnames.Our PeopleWith over 1,500 team members across 15+ countries, we operate in a global, remote-first environment. We are building more than software; we are building a global community rooted in creativity, collaboration, and impact. We take pride in cultivating a culture where innovation thrives, ideas are celebrated, and people come first, no matter where they call home.Our ImpactAs of mid 2025, our platform powers over 1.5 billion messages, helps generate over 200 million leads, and facilitates over 20 million conversations for the more than 2 million businesses we serve each month. Behind those numbers are real people growing their companies, connecting with customers, and making their mark - and we get to help make that happen.About the Role:We are seeking an experienced Engineering Manager to lead our Generative AI teams. You will inspire and manage a team of engineers, driving performance and innovation. Your role will include developing robust AI-driven products and overseeing strategic project management.Team-Specific Focus Areas:Conversation AI:-Build the AI Agent Builder to allow users to create customized agents for interacting with contacts via chat. Use cases include appointment booking, form filling, sales, and intent recognition-Scale DIY agent creation: multi-bot setups, prompt copilots, CRM & workflow actions, agent dashboards-Evolve the Agent Marketplace & Snapshots, enabling distribution at scale-Develop Conversation Insights for issue categorization and one click agent creationVoice AI:-Build the AI Agent Builder to allow users to create customized agents for interacting with contacts via voice. Use cases include appointment booking, form filling, sales, and intent recognition-Evolve the Agent Marketplace & Snapshots, enabling distribution at scale-Focus on VOIP technology with an emphasis on low latency and high-quality voice interactionsAgent Studio:-Provide a builder platform for creating, configuring, and deploying workflow based AI-powered agents-Support visual and conversational workflows that connect to CRM, triggers, and custom actions-Maintain agent dashboards (per-agent and global views) for monitoring usage and performance-Build extensibility via custom actions, plugins, and APIs for external developersKnowledge Base:-Scale ingestion pipelines: websites (crawling, auto-refresh), documents (PDF, DOC, HTML, TXT, Markdown), tables (CSV, e-commerce), and web search-Advance retrieval pipelines: chunking experimentation, reranking, knowledge graph integration, retrieval quality evaluations-Deliver Knowledge Analytics: gap detection, trends over time, labeling support tickets to dispositions-Automate content creation and refinement: draft articles from tickets, suggest edits, AI-written FAQsAsk AI:-Build a centralized AI platform with a common frontend, consistent UX, and a framework for future agents (Funnels AI, Workflows AI, Email Builder, Planner, etc.)-Develop Planner & Executor agents to plan multi-step goals and intelligently execute them using workflows and context-Launch and scale specialized agents for email, social media, ads, messaging, sales, reputation management, and content creation-Integrate with Agent Studio, Voice, and extend through the MCP server with 200+ tools and connectors-Ensure usage tracking, feedback, and billing readiness to support scale and monetizationRequirements:Proven expertise in building and scaling AI Agent platforms with measurable adoptionStrong knowledge of RAG pipelines (retrieval optimization, chunking, knowledge graphs, reranking)Experience with large-scale conversational systems and response evaluationsTrack record of scaling services to 200K+ MAUs (or equivalent scale)8+ years of engineering experience (with at least 1+ years in management)Excellent people leadership, communication, and problem-solving skillsBachelor’s degree or equivalent in Computer Science, Engineering, or related fieldExperience in Node.js and modern front-end frameworks (Vue.js/React/Angular) is a plusResponsibilities:Mentor and coach individuals on the teamPerform evaluations and give feedback to help them progressPlanning for fast and flexible delivery by breaking down into milestonesIncrease efficiency by p