Drimva

Navan

Senior GTM Engineer

$82K–$181K

New York, NY +1 · Senior · Full-time · Posted Sep 15, 2026

Location
New York, NY
New York, United States
Experience
6+ years of relevant progressive experience, including at least 2 years building and deploying production LLM-powered agents, copilots, or business automations.

About the job

Build, deploy, and improve production AI agents, automations, and integrations that support Navan’s sales, marketing, and revenue operations teams.

What you'll do

  • Deliver GTM agents and workflows from design and prototype through production release, monitoring, and iteration.
  • Connect GTM systems and data using code, APIs, webhooks, middleware, and integrations; implement production safeguards and troubleshoot issues.
  • Partner with Engineering, Data, IT, and Security to maintain reliable systems, measure outcomes, and document operations.

What they ask for

  • 6+ years of progressive experience in a relevant technical role, such as GTM Engineering, Business Systems, or Data Engineering.
  • At least 2 years of hands-on experience building and deploying LLM-powered agents, copilots, or automations used by business teams in production.
  • Proficiency in at least one production programming language (Python, TypeScript, JavaScript, or Apex), working knowledge of SQL, and ability to inspect, test, and debug code.
  • Strong experience with APIs and integrations, production automation operations, and Salesforce, including data modeling, Flow, permissions, APIs, automation, and production support.

Nice to have

  • Experience with ZoomInfo, Clay, signal-based workflows, buyer-intent data, enrichment, or account prioritization.
  • Knowledge of agent frameworks, Model Context Protocol, tool calling, retrieval-augmented generation, semantic search, evaluation frameworks, or Salesforce certifications.

Pay

$81,525 — $181,300 USD (pay range; base salary or total pay not specified)

Tools

Salesforce, ZoomInfo, Slack, Cursor, Claude Code, Python, TypeScript, SQL

AI focus

Build and operate production AI agents and agent-assisted workflows for GTM teams, with evaluation, human review, monitoring, access controls, and other production safeguards.

Model-written summary · the original posting is authoritative

First seen Oct 27, 2026 · Last verified Nov 5, 2026 (UTC)