> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt.

# Senior GTM Engineer

Canonical URL: https://nextmove.md/fde/jobs/2a1539166273430e

Navan posts a senior FDE role to build for teams inside the company in Austin, TX with no pay posted. The Senior GTM Engineer will own the applied engineering layer for AI agents, automations, and workflows supporting Sales, Marketing, and Revenue Operations. Read from the employer’s posting on November 8, 2026.

- [Navan](https://nextmove.md/fde/companies/navan)

Posted Sep 15, 2026 by Navan · open on Greenhouse as of Nov 8, 2026

Pay not posted Austin, TX

The Senior GTM Engineer will own the applied engineering layer for AI agents, automations, and workflows supporting Sales, Marketing, and Revenue Operations.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F2a1539166273430e&placement=top)
- [View posting at Navan](https://navan.com/careers/openings?gh_jid=8204932)

Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so.

## At a glance

### Posted base pay

Not posted

Staff+ FDE postings, 388 postings: the middle 50% of posted pay is $197K to $262K, median $225K.

### The work

Builds for teams inside the company

Balance **Mostly building**

Project stages

1. Pre-sales (not covered)
2. Proof of concept
3. Implementation
4. Operations

- **Coding**: Writes production code

- **Builds for**: Internal teams

- **Level**: Staff+

- **Role**: Individual contributor

### What they ask for

Experience

- **6+ years** Progressive experience in GTM Engineering, Business Systems, Solutions Engineering, Growth Engineering, Data Engineering, Revenue Operations Systems, or a comparable technical role
- **2+ years** Hands-on experience building and deploying LLM-powered agents, copilots, or automations used by business teams in a production environment

Background

- **Software engineering**
- **Solutions and customer engineering**
- **Implementation and data engineering**

### Do you meet what the posting states?

The posting asks for 2+ years. How many do you have?

The posting reads as a staff-level role. What level are you at now?

The job is in Austin, TX. Could you work there?

Which of these have you used in production?

Answer each one. Nothing is saved or sent.

[What postings ask for, by background →](https://nextmove.md/fde/paths)

## Conditions

- **Location**: Austin, TX

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## The job description from Navan

Posted by Navan on Sep 15, 2026

We are hiring a highly technical, business-savvy Senior GTM Engineer to help build the next generation of Navan’s GTM systems. This hands-on role connects AI, data, and revenue execution. You will turn prioritized business requirements into production-grade agents, automations, and workflows that are embedded in how our Sales, Marketing and Revenue Operations teams work.

Reporting to the Director, GTM Engineering & Systems, you will own the applied engineering layer from prototype through field deployment and iteration. You will partner closely with Engineering, Data, IT, and Security on shared architecture, production readiness, and governance. Success means shipping reliable systems that business teams depend on, not stopping at demos or proofs of concept.

### What You’ll Do

- Build and deploy AI agents and agent-assisted workflows that solve prioritized GTM problems and operate reliably in production.
- Take solutions through the full delivery lifecycle: technical design, prototyping, implementation, testing, evaluation, release, monitoring, and post-launch iteration.
- Write, review, and debug code used to extend low-code platforms and connect systems across the GTM stack.
- Connect Salesforce, ZoomInfo, Slack, and internal data through APIs, webhooks, middleware, and native integrations.
- Build automations and orchestrations using tools such as Salesforce, Cursor, Claude Code, and AI-assisted development environments.
- Implement the controls required for production agents, including evaluations, human review, observability, error handling, permissions, auditability, sensitive-data safeguards, and rollback paths.
- Translate approved playbooks and requirements into reusable technical components that can support multiple agents and workflows.
- Partner with Engineering, Data, IT, and Security to harden solutions and align them with Navan’s architecture and release standards.
- Troubleshoot issues across agent logic, integrations, Salesforce, permissions, automation, and data flow.
- Measure business and technical performance, including adoption, reliability, time saved, data quality, pipeline impact, and revenue outcomes.
- Document architecture, decisions, runbooks, and operating procedures so solutions can be maintained and scaled.

### What We’re Looking For

- 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.
- 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.
- 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.
- Strong hands-on experience with APIs, webhooks, JSON, authentication, data mapping, and integration troubleshooting.
- Experience operating production automations or agents, including testing, evaluation, monitoring, failure recovery, access controls, and change management.
- Strong Salesforce experience, including data modeling, Flow, permissions, APIs, automation, and production support.
- Experience with modern orchestration, automation, enrichment, or AI development platforms. Direct experience with every tool in Navan’s environment is not required.
- A practical understanding of enterprise GTM workflows across sales cycles, marketing funnels, pipeline management, and post-sale delivery.
- A track record of owning ambiguous technical problems, making sound implementation decisions, and delivering maintainable solutions.
- Clear communication and documentation skills, including the ability to explain technical tradeoffs to business and engineering partners.

### Preferred Qualifications

- 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.
- Experience with development and release tooling for Salesforce and integrated applications.
- Salesforce certifications related to platform development.
- You should be comfortable learning new technologies and choosing the right implementation approach while working within Navan’s engineering, security, and governance standards.

Navan uses AI-assisted Automated Employment Decision Tool (Metaview) to assist with evaluating resumes against job qualifications for this role. All final decisions are made by human recruiters and hiring managers.

**Human oversight:** Metaview does not automatically reject candidates or make final hiring decisions. Our recruiters and hiring managers review all outputs and make the final hiring decision regarding every application.

- **Your rights: **If you prefer to have your application reviewed without AI assistance, you may request a human evaluation by entering your email here. Your decision to do so will not affect how your candidacy is evaluated.

Please refer to our Candidate Privacy Notice for more information about our processing of personal data, and your rights.

[View posting at Navan](https://navan.com/careers/openings?gh_jid=8204932)

## About Navan

All-in-one travel booking, corporate card, and expense management for 10K+ enterprises. Powers 16% cost savings vs legacy T&E solutions.

Public · 2000–5000 people

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- [Compare staff+ FDE salary ranges](https://nextmove.md/fde/salary/staff)
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