Apollo.io

Product Manager role focused on building and scaling AI Agents for a go-to-market platform. The role involves defining agentic orchestration, progressive autonomy frameworks, multi-channel delivery, and AI quality/evaluation infrastructure. Requires hands-on prototyping, customer engagement, and driving adoption of autonomous AI products.

Go-To-Market Engineer role focused on building AI-driven systems and automation for customer outreach, adoption, and revenue growth within the SMB segment. The role involves designing and executing GTM campaigns, leveraging usage data for interventions, and advising customers on strategy, with a strong emphasis on AI-native approaches and systems thinking.

This role focuses on defining and executing the strategy for AI and automation within Apollo.io's support platform. The individual will own the Intercom platform, AI agent configuration, and workflow automation, aiming to improve customer experience and operational efficiency through AI-driven solutions. Key responsibilities include identifying automation opportunities, designing intelligent routing, analyzing AI performance, and integrating support tools.

This role focuses on configuring and deploying AI-driven workflows within the Apollo platform to enhance customer GTM strategies, drive adoption, and increase revenue. The GTM Engineer acts as a success architect, building relationships across complex organizations and advising executives on GTM strategy and tech stack, with an emphasis on AI-native approaches.

Senior Engineer role focused on building and improving fraud detection and account security systems. This involves developing risk decisioning engines, APIs, and collaborating with Data Science and Fraud Operations to implement new models and detection strategies. The role requires strong backend engineering skills and experience with production systems, with a preference for fraud or security-adjacent experience.

Product Manager (Product Builder) role at Apollo.io, focusing on owning and improving the inbound lead-to-meeting conversion funnel. The role involves understanding customer workflows, prototyping with AI tools, writing specs, measuring impact, and driving alignment. A key responsibility is building AI features to help teams qualify leads, predict intent, and prioritize actions.