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Salary
$86k – $145k per year
Location
In office (New York)
Seniority
Senior · 6+ years exp
Visa
H-1B filings in 12 months: 38 · for this role: 27 · green card filings: 15
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Oct 2, 2026. Navan scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Navan is a corporate travel, payments and expense management software company headquartered in Palo Alto, California, providing a platform that combines business travel booking, corporate cards, expense reporting, events and analytics. It was founded in 2015 by Ariel Cohen and Ilan Twig under the name TripActions, and it has offices in New York, San Francisco, Austin, Boston, London, Berlin, Paris, Amsterdam and Bengaluru. Its openings include software engineers for flights and enterprise products, product designers and marketers, account executives, airline partnership managers, business operations, data and IT leadership roles.

Join Navan as a Senior GTM Engineer, where you'll play a crucial role in building the next generation of our go-to-market systems. This hands-on position involves connecting AI, data, and revenue execution, and requires strong technical skills and business acumen. You'll work closely with various teams, including Engineering, Data, IT, and Security, to ensure the success of our systems.

Missions

  • Construire et déployer des agents d'IA et des flux de travail assistés par des agents qui résolvent des problèmes prioritaires liés à la GTM et fonctionnent de manière fiable en production.
  • Prendre en charge les solutions tout au long du cycle de livraison : conception technique, prototypage, mise en œuvre, test, évaluation, publication, surveillance et itération post-lancement.
  • Écrire, examiner et déboguer le code utilisé pour étendre les plateformes à faible code et connecter les systèmes à travers la pile GTM.

Profil recherché

- 6+ years of progressive experience in GTM Engineering, Business Systems, Solutions Engineering, Growth Engineering, Data Engineering, Revenue Operations Systems, or a comparable technical role. We value depth of relevant work over a specific title

- Strong hands-on experience with APIs, webhooks, JSON, authentication, data mapping, and integration troubleshooting

- At least 2 years of hands-on experience building and deploying LLM-powered agents, copilots, or automations used by business teams in a production environment

- Experience operating production automations or agents, including testing, evaluation, monitoring, failure recovery, access controls, and change management

- Evidence of shipped work. Please include links to relevant GitHub repositories, deployed products, technical case studies, or other substantive examples. If your work is proprietary, you should be prepared to walk through a sanitized architecture or repository, your individual contribution, production controls, and measurable results

- Proficiency in at least one production programming language such as Python, TypeScript, JavaScript, or Apex, plus working knowledge of SQL. You can inspect, modify, test, and debug AI-generated code rather than treating it as a black box

- Clear communication and documentation skills, including the ability to explain technical tradeoffs to business and engineering partners

- A track record of owning ambiguous technical problems, making sound implementation decisions, and delivering maintainable solutions

- Strong Salesforce experience, including data modeling, Flow, permissions, APIs, automation, and production support

- A practical understanding of enterprise GTM workflows across sales cycles, marketing funnels, pipeline management, and post-sale delivery

- Experience with modern orchestration, automation, enrichment, or AI development platforms. Direct experience with every tool in Navan’s environment is not required

- Experience with development and release tooling for Salesforce and integrated applications

- Salesforce certifications related to platform development

- Experience with ZoomInfo, Clay and signal-based workflows, buyer-intent data, enrichment, account prioritization, or opportunity scoring

- Working knowledge of agent frameworks, Model Context Protocol, tool calling, retrieval-augmented generation, semantic search, or evaluation frameworks

- You should be comfortable learning new technologies and choosing the right implementation approach while working within Navan’s engineering, security, and governance standards

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