> 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.

# Forward Deployed Engineer, GTM

Canonical URL: https://nextmove.md/fde/jobs/ecab7d1d7ea99436

Kong posts a FDE role to build for teams inside the company, remote, hiring in California, at $125,370–$179,100 base, below the senior FDE median of $190,000 across 1,864 postings with pay. Build and launch production AI agents and workflows for Kong’s global go-to-market teams, spanning marketing, sales, product, and revenue operations. Read from the employer’s posting on November 8, 2026.

- [Kong](https://nextmove.md/fde/companies/kong)

Posted Oct 30, 2026 by Kong · open on Ashby as of Nov 8, 2026

**$125,370–$179,100** + equity Remote, hiring in California Full-time

Build and launch production AI agents and workflows for Kong’s global go-to-market teams, spanning marketing, sales, product, and revenue operations.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2Fecab7d1d7ea99436&placement=top)
- [View posting at Kong](https://jobs.ashbyhq.com/kong/33442c96-802c-450c-8200-16bbdf911142/application)

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

$125K–$179K Below the median

Midpoint $152K · median $190K

This job $125K to $179K. Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K.

### 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**: Senior

- **Role**: Individual contributor

### What they ask for

Experience

- **5+ years** software engineering

Background

- **Software engineering**

### Do you meet what the posting states?

The posting asks for 5+ years. How many do you have?

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

The work is remote from the US. Can you work from the US?

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**: Sacramento, CA

- **Work arrangement**: Remote

- **Employment type**: Full-time

- **Pay**:

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## The job description from Kong

Posted by Kong on Oct 30, 2026

### Are you ready to unlock intelligence?

If you don’t think you meet all of the criteria below but are still interested in the job, please apply. Nobody checks every box - we’re looking for candidates that are particularly strong in a few areas, and have some interest and capabilities in others.

We are looking for a GTM Forward Deployed Engineer to build and launch AI agents for our go to market (GTM) teams (Marketing, Sales, Product and Revenue Operations) using platforms like Salesforce, Slack, Claude Code, Gemini, Snowflake, Marketo, Clay, Nooks, and Rox

### Key Responsibilities

- Prototype and deploy AI agents for customer retention, pipeline generation, GTM productivity, deal inspection, account research, opportunity updates, and meeting prep.
- Create prompt templates and system instructions for accurate, consistent outputs.
- Define agent persona, tone, and fallback logic
- Re-engineer GTM processes by connecting LLMs to GTM systems
- Build and test agentic tools quickly.
- Document agent logic and prompt structures to ensure scalable, independent automation across the global GTM organization.
- Test system prompts, context retrieval, and model selection to boost output quality, seller adoption, and deal velocity.

- Track and audit production agents to quickly fix output drift, performance gaps, and accuracy issues
- Partner with GTM Analytics teams to integrate GTM data sources for real-time customer and pipeline insights.
- Create practical prompt libraries, quick-reference playbooks, and training sessions to maximize seller, customer and/or potential customer value.
- Ensure prompt, workflow, and deployed solutions meet security, legal, and company AI standards.

### Required Qualifications

- Have 5+ years of software engineering experience
- Working knowledge of GTM strategy, AI Operations and hands-on experience putting AI workflows or LLM agents into production.
- Experience creating internal documentation, toolkits and playbooks that outlived your involvement and were adopted at scale.
- Experience in a technical or cross-functional role that required problem-solving across teams and functions.
- A track record of building AI-powered tools, automations, or workflows that changed how real work gets done — with specific examples you can speak to.
- Clear, concise communication skills — you can explain a technical concept to someone who's never thought about it before, without talking down to them.
- Comfort with ambiguity and self-direction; you don't need a detailed roadmap to know where to start.

### Preferred Qualifications

- Hands-on experience with AI development platforms and tools such as Claude, Claude Code, MCPs, LLM APIs, custom agent frameworks, or workflow automation platforms.
- Background in change management, organizational development, or a large-scale rollout that required bringing skeptical stakeholders along.
- Experience in solutions engineering where you had to earn trust and deliver results quickly.
- Familiarity with the enterprise SaaS tools Kong runs on: Okta, Slack, Google Workspace, Salesforce, Jira, or Freshservice.
- Familiarity with Kong Konnect, Kong Gateway, or API management concepts — understanding how APIs and AI models connect will help you build smarter tools.
- Experience helping others develop new technical skills, whether through formal training, one-on-one coaching, or team enablement programs

#LI-KH1

### About Kong

Kong Inc., the AI Connectivity Company, is building the connectivity layer of AI. Trusted by the Fortune 500® and AI-native startups alike, Kong’s unified API and AI platform enables organizations to secure, manage, accelerate, govern, and monetize the flow of intelligence across APIs and AI traffic — on any model, any cloud. For more information, visit www.konghq.com.

[View posting at Kong](https://jobs.ashbyhq.com/kong/33442c96-802c-450c-8200-16bbdf911142/application)

## About Kong

Kong secures, governs, and monetizes enterprise API, LLM, event, and agent traffic through cloud-native gateways and the Konnect platform.

Series E · 500–1000 people

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- [Compare senior FDE salary ranges](https://nextmove.md/fde/salary/senior)
- [Similar jobs that build for teams inside the company](https://nextmove.md/fde/jobs?role=internal-deployment)

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