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Customer Engineer, Agent Builder

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🇺🇸 San francisco, California, United States
Posted 17 Jul 2026

Location

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

Job details

EmployerSign in to view the employer name
LocationSan francisco, California, United States
Posted17 Jul 2026
SalaryNot specified
Work locationSan Francisco, CA (also NY / Toronto / London)Work policy: On-site, 5 days in…
SponsorshipVisa Sponsored ✓
Categories
Information Technology

Visa sponsorship

H-1B

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