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