Head of AI
<h2 data-path-to-node="3">Role Overview</h2> <p data-path-to-node="4">We are seeking a visionary and execution-focused <strong data-path-to-node="4" data-index-in-node="49">Head of AI (Agentic Outreach)</strong> to spearhead the evolution of our growth, sales, and engagement marketing engines. In this role, you will design, build, and scale an ecosystem of autonomous AI agents capable of hyper-personalized, context-aware, and multi-channel outreach.</p> <p data-path-to-node="5">You will bridge the gap between advanced machine learning engineering and strategic business growth, moving beyond simple template automation to build dynamic, self-learning agentic workflows that orchestrate complex B2B/B2C communication strategies.</p> <h2 data-path-to-node="7">Key Responsibilities</h2> <h3 data-path-to-node="8">1. Strategy &amp; Architecture</h3> <ul data-path-to-node="9"> <li> <p data-path-to-node="9,0,0"><strong data-path-to-node="9,0,0" data-index-in-node="0">Vision &amp; Roadmap:</strong> Define the strategic roadmap for agentic outreach, transitioning from static sequence automation to autonomous, goal-driven AI agent networks.</p> </li> <li> <p data-path-to-node="9,1,0"><strong data-path-to-node="9,1,0" data-index-in-node="0">System Architecture:</strong> Design and oversee the infrastructure for multi-agent systems that handle lead sourcing, intent signaling, content generation, and multi-turn conversational follow-ups.</p> </li> <li> <p data-path-to-node="9,2,0"><strong data-path-to-node="9,2,0" data-index-in-node="0">Guardrails &amp; Ethics:</strong> Establish strict compliance, data privacy (GDPR/CCPA), brand voice alignment, and safety guardrails to ensure AI agents interact ethically and accurately.</p> </li> </ul> <h3 data-path-to-node="10">2. Technical Execution &amp; AI Engineering</h3> <ul data-path-to-node="11"> <li> <p data-path-to-node="11,0,0"><strong data-path-to-node="11,0,0" data-index-in-node="0">Agent Orchestration:</strong> Build and optimize workflows using framework stacks like LangChain, CrewAI, AutoGen, or custom-built internal orchestration layers.</p> </li> <li> <p data-path-to-node="11,1,0"><strong data-path-to-node="11,1,0" data-index-in-node="0">RAG &amp; Memory Systems:</strong> Implement advanced Retrieval-Augmented Generation (RAG) and persistent memory vector databases so agents maintain deep context across long-term buyer journeys.</p> </li> <li> <p data-path-to-node="11,2,0"><strong data-path-to-node="11,2,0" data-index-in-node="0">Model Optimization:</strong> Fine-tune, prompt-engineer, and select the optimal mix of proprietary (OpenAI, Anthropic) and open-source (Llama, Mistral) LLMs to balance cost, latency, and performance.</p> </li> </ul> <h3 data-path-to-node="12">3. GTM Integration &amp; Analytics</h3> <ul data-path-to-node="13"> <li> <p data-path-to-node="13,0,0"><strong data-path-to-node="13,0,0" data-index-in-node="0">Data Pipeline Integration:</strong> Connect agentic workflows seamlessly with our modern data stack, CRM (Salesforce/HubSpot), sales engagement tools, and data enrichment APIs (e.g., Clay, Apollo, ZoomInfo).</p> </li> <li> <p data-path-to-node="13,1,0"><strong data-path-to-node="13,1,0" data-index-in-node="0">Loop Optimization:</strong> Build reinforcement learning loops based on positive/negative conversion signals (e.g., booking a demo vs. "unsubscribe" requests) to continuously improve agent persuasion and timing.</p> </li> <li> <p data-path-to-node="13,2,0"><strong data-path-to-node="13,2,0" data-index-in-node="0">KPI Tracking:</strong> Own the performance metrics of AI-driven outreach, including pipeline generated, response quality scores, deliverability rates, and ROI.</p> </li> </ul> <h2 data-path-to-node="15">Qualifications &amp; Skills</h2> <h3 data-path-to-node="16">Technical Requirements</h3> <ul data-path-to-node="17"> <li> <p data-path-to-node="17,0,0"><strong data-path-to-node="17,0,0" data-index-in-node="0">AI/ML Expertise:</strong> 5+ years and above of experience working with Large Language Models (LLMs), prompt engineering, and embeddings.</p> </li> <li> <p data-path-to-node="17,1,0"><strong data-path-to-node="17,1,0" data-index-in-node="0">Agentic Frameworks:</strong> Proven hands-on experience building autonomous agent architectures, multi-agent frameworks, and tool-use (function calling) loops.</p> </li> <li> <p data-path-to-node="17,2,0"><strong data-path-to-node="17,2,0" data-index-in-node="0">Programming Proficiency:</strong> Expert-level Python developer with experience in AI libraries and vector databases (Pinecone, Milvus, Qdrant, etc.).</p> </li> <li> <p data-path-to-node="17,3,0"><strong data-path-to-node="17,3,0" data-index-in-node="0">Data &amp; API Integration:</strong> Deep understanding of web scraping, reverse APIs, webhook orchestration, and complex data enrichment pipelines.</p> </li> </ul> <h3 data-path-to-node="18">Leadership &amp; Strategic Skills</h3> <ul data-path-to-node="19"> <li> <p data-path-to-node="19,0,0"><strong data-path-to-node="19,0,0" data-index-in-node="0">Growth Mindset:</strong> Strong understanding of modern outbound B2B marketing, sales development (SDR/BDR) playbooks, and growth hacking principles.</p> </li> <li> <p data-path-to-node="19,1,0"><strong data-path-to-node="19,1,0" data-index-in-node="0">Team Building:</strong> Experience leading and mentoring cross-functional teams of AI engineers, data scientists, and growth marketers.</p> </li> <li> <p data-path-to-node="19,2,0"><strong data-path-to-node="19,2,0" data-index-in-node="0">Analytical Rigor:</strong> Strong statistical background to design and evaluate rigorous A/B testing frameworks for agentic variations.</p> </li> </ul> <h2 data-path-to-node="21">Preferred Experience</h2> <ul data-path-to-node="22"> <li> <p data-path-to-node="22,0,0">Experience in a fast-paced B2B SaaS environment or a high-growth tech startup.</p> </li> <li> <p data-path-to-node="22,1,0">A portfolio of shipped AI products, open-source contributions to agentic frameworks, or public writing/research on the future of autonomous systems.</p> </li> <li> <p data-path-to-node="22,2,0">Familiarity with sophisticated email deliverability infrastructure (domain warming, spintax, rotating IPs).</p> </li> </ul>
PAIGE