Forward Deployed Engineer, GTM
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 2d ago
The date the source published, not the day we noticed it (2026-10-30). Last seen at its source 3h ago.
We have tracked this listing since 30 Oct 2026 (2 days). The employer's own board has carried it every time we have read it, most recently 3 hours ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay
$125.4k–179.1k/yr
Published by the source in its own salary field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Ashby employer's own board first seen 2d ago · last seen 3h ago
The listing
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
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.