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Engineering Manager, Agents

Decagon - San Francisco, CA, United States - In-office - posted 2026-07-27

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Salary: USD 200,000 - 400,000 / annual

Decagon is a conversational AI platform enabling enterprises to deploy AI agents for customer support and operations. The company works with industry leaders like Avis, Block, Chime, and Oura Health to deliver personalized interactions across voice, chat, email, SMS, and other channels. Backed by a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, Decagon is redefining customer experiences from support tickets to faster resolutions and deeper relationships. The Agent Engineering team deploys mission-critical AI agents impacting millions of users and directly driving company growth. As Engineering Manager, you will lead a team building and shipping best-in-class AI agents from initial implementation through continuous iteration. You'll work directly with enterprise customers in finance, healthcare, and hospitality, solving their operational needs with reliable and intuitive AI solutions. Key responsibilities include leading and growing an engineering team building AI agents that outperform human agents in managing complex customer interactions; partnering directly with enterprise customers to understand pain points and translate them into scalable solutions; driving execution across the full agent deployment lifecycle; partnering with product, design, and research to identify cross-customer trends; helping define technical strategy and roadmap for AI-powered customer support; and mentoring engineers through technical guidance and career development. You should have 1+ years of engineering management experience and 5+ years of software engineering background. Required skills include proficiency with Python, TypeScript, and asynchronous programming; experience leading teams building complex distributed systems or customer-facing products; comfort diagnosing system failures in deep technology stacks; and strong communication skills for enterprise customer engagement. Preferred qualifications include experience with multi-modal models and leading teams working on AI systems, LLM applications, or agentic workflows. Decagon operates as an in-office company driven by shared commitment to excellence and velocity, with values centered on execution, customer-centric innovation, competitive mindset, and diverse expertise.

About Decagon

AI / Data / Infrastructure; SaaS / Enterprise Software — AI agents for customer support and enterprise operations.

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