Customer Engineer, Agent Builder

Job Description

Job Description

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