Director of AI Engineering

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November 21

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Apollo.io

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B2B • SaaS • Artificial Intelligence

Apollo. io is an all-in-one sales platform designed to streamline and enhance sales operations from lead generation to deal management. The platform offers tools for contact and account search, scores and signals analysis, inbound optimization, sales engagement, and more, leveraging AI and a living data network for comprehensive sales intelligence. Apollo. io is ideal for sales professionals, marketers, and revenue operations teams aiming to enhance productivity and efficiency by automating workflow tasks and integrating CRM systems. With a focus on improving sales performance through analytics and conversation intelligence, Apollo. io helps businesses find the right leads at the right time, nurture those leads effectively, and close deals efficiently.

51 - 200 employees

Founded 2015

🤝 B2B

☁️ SaaS

🤖 Artificial Intelligence

📋 Description

• Own the end-to-end delivery of Apollo’s AI roadmap spanning autonomous agentic systems, LLM-powered workflows, search & relevance, personalization, and production-grade ML infrastructure. • Lead and scale a high-impact AI Engineering organization responsible for turning cutting-edge AI techniques into real, revenue-driving product capabilities used by millions. • Define the long-term architecture for agentic AI at Apollo, elevate engineering excellence, mentor senior ICs and managers, and accelerate Apollo’s position as the AI-native leader in the go-to-market ecosystem. • Collaborate closely with Data Science, Product, Design, and Research teams to ensure AI capabilities integrate seamlessly into the GTM user journey.

🎯 Requirements

• 10–15+ years in software engineering, with significant leadership experience owning AI/ML or applied LLM systems at scale. • Proven history shipping LLM-powered features, agentic workflows, or AI assistants used by real customers in production. • Deep understanding of LLM orchestration frameworks (LangChain, LlamaIndex), RAG pipelines, vector search, embeddings, and prompt engineering. • Expert in backend & distributed systems (Python strongly preferred) and cloud infrastructure (AWS/GCP). • Strong experience with telemetry, observability, and cost-aware real-time inference optimizations.

🏖️ Benefits

• Additional benefits for this role may include equity; company bonus or sales commissions/bonuses; 401(k) plan; at least 10 paid holidays per year, flex PTO, and parental leave; employee assistance program and wellbeing benefits; global travel coverage; life/AD&D/STD/LTD insurance; FSA/HSA and medical, dental, and vision benefits.