Customer Engineer, Agent Builder — Decagon

San Francisco, CA (also NY / Toronto / London) · On-site (5 days) · Full-time Compensation: $175,000–$230,000 + competitive equity About the Company A category-leading conversational AI platform that helps major enterprises deploy AI agents across voice, chat, email, SMS, and every other customer channel. Series D+ with strong enterprise traction and marquee customers across consumer and financial services. In-office culture built around speed, ownership, and craft. Founded 2023 · 201–500 people · Industry: Conversational AI / Consumer Tech The Role 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: you'll 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 — generally close to 50/50 or 60/40 technical-to-customer-facing — and sits exclusively on the post-sales side. 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) 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 pivoted toward customer-facing technical delivery Strong quantitative or Computer Science degree from a well-regarded program Comfortable owning both the technical build and the customer relationship without needing the two responsibilities split apart Post-sales orientation and interest, since this role sits exclusively on the post-sales side Red Flags Background as an IT manager or in IT operations without transferable hands-on technical build experience Interested only in pre-sales work; this role's lane is exclusively post-sales Career built entirely in a single large enterprise without independent technical delivery signal Why Join Category leader in conversational AI with strong enterprise traction across consumer and financial services Top-tier venture backing and a Series D+ balance sheet Own the full lifecycle of enterprise AI agent builds — technical build and customer relationship together, not split into two half-roles Details Location: San Francisco, CA (also NY / Toronto / London) Work policy: On-site, 5 days in-office Compensation: $175,000–$230,000 + equity Visa sponsorship: H-1B Employment type: Full-time