Customer Engineer, Agent Builder

David Joseph & Company

San Francisco, USonsite$175k-$230k/yrPosted Jul 16, 2026
Posting intelligenceActively listed

Skills

pythonllm

About the role

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

Compensation

This Customer Engineer role pays $175k-$230k/yr. Within typical range for customer engineer roles in United States.

Questions about this role

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