Forward Deployed Engineer, GTM

California, United States, Remote. Posted 14 days ago

The role

This person will build and launch AI agents for go to market teams including Marketing, Sales, Product and Revenue Operations. They will use platforms like Salesforce, Slack, Claude Code, Gemini, Snowflake, Marketo, Clay, Nooks, and Rox.

What you will do

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.
Test system prompts, context retrieval, and model selection.
Track and audit production agents to fix output drift, performance gaps, and accuracy issues.
Partner with GTM Analytics teams to integrate GTM data sources.
Create practical prompt libraries, quick-reference playbooks, and training sessions.

Required qualifications

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.
Clear, concise communication skills.
Comfort with ambiguity and self-direction.

Nice to have

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.
Experience helping others develop new technical skills, whether through formal training, one-on-one coaching, or team enablement programs

About the company

Kong Inc., the AI Connectivity Company, is building the connectivity layer of AI. Their unified API and AI platform enables organizations to secure, manage, accelerate, govern, and monetize the flow of intelligence across APIs and AI traffic.