Decagon — Customer Engineer, Agent Builder

# Decagon — Customer Engineer, Agent Builder **Type:** Full-time | On-site (5 days) | San Francisco, CA (also NY / Toronto / London) **Compensation:** $175,000–$230,000 + competitive equity **Hiring count:** 10 **Visa sponsorship:** Yes — H-1B **Reports to:** Agent Builder Manager ## About Decagon Decagon is the leading conversational AI platform, empowering brands to deliver concierge customer experiences. Its technology lets enterprises like Avis Budget Group, Block's Cash App and Square, Chime, Oura Health, and Hunter Douglas deploy AI agents across voice, chat, email, SMS, and every other channel. Backed by a16z, Accel, Bain Capital Ventures, Coatue, Index Ventures, and others. In-office company; values are Just Get It Done, Invent What Customers Want, Winner's Mindset, and The Polymath Principle. Founded: 2023 | Team size: 201–500 | Stage: Series D+ Industry: Conversational AI / Consumer Tech Website: decagon.ai Office: San Francisco (role also open in NY, Toronto, London) ## Why Candidates Should Join - **Category leader, marquee logos:** Powers AI agents for Avis Budget Group, Cash App, Square, Chime, Oura, and Hunter Douglas across every support channel. - **Top-tier backing:** a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures — Series D+ with real enterprise traction. - **Own the whole thing:** End-to-end delivery of enterprise AI agent builds — technical build plus direct senior-stakeholder ownership, not split into two half-roles. ## Intake Call Summary - No intake-call transcript was available in the role page (Intake Video only — not transcribed). Fill this in if David has notes from the intake. ## The Role Decagon is hiring Customer Engineers and Agent Builders to own end-to-end execution of AI agent builds for enterprise customers, from initial scoping through launch and iteration. This is a highly technical delivery role: agent builders write and configure key components, validate integrations, and interface directly with senior technical stakeholders on the customer side. The split between technical build and customer-facing work is dynamic and shifts with the customer lifecycle, generally landing close to 50/50 or 60/40 technical-to-customer-facing. Fast-moving, hands-on culture — not a 9-to-5, but not an always-on grind. Communication matters enormously: the team's internal bar is whether they'd feel confident handing this person off to walk the CEO through their work directly. ### What You'll Be Doing - End-to-end execution of AI agent builds for enterprise customers, from scoping through launch and iteration - Write and maintain key agent-building artifacts and configure agent behavior for quality, reliability, and business outcomes - Configure and validate guardrails for safe, compliant, predictable agent performance - Set up, test, and validate customer integrations (ticketing systems and comparable), building any tools or workflows needed - Interface directly with senior technical stakeholders at customers to define success criteria and drive delivery against timelines - Partner closely with Agent PMs, Engineering, Design, and GTM teams to deliver consistent, repeatable agent builds **Tech stack:** Python (hard requirement), APIs / integrations; LLM/agent tooling (prompting, evaluation, guardrails, workflow design) **Nice-to-have (from role body):** Building with or around LLMs and AI agents; enterprise SaaS integrations (ticketing, CRM, data pipelines) with security/compliance considerations; CS/Engineering/Math degree or equivalent; strong product instinct (crisp requirements docs, success metrics). ## Requirements - 3-5 years technical customer-facing (5-7 for Toronto) - Strong Python proficiency (hard requirement) - API integration experience end to end - SF / NY / Toronto / London, 5 days in-office ## Green Flags - Software engineering background with a genuine, demonstrated pull toward customer-facing work - Started in software engineering or forward-deployed engineering, then pivote…