Forward Deployed Engineer, GTM

Overview

Build and launch AI agents for Kong's go-to-market teams (Marketing, Sales, Product and Revenue Operations) using platforms such as Salesforce, Slack, Claude Code, Gemini, Snowflake, Marketo, Clay, Nooks, and Rox.

What you'll 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 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.

What you'll need

• 5+ years of software engineering experience.
• Working knowledge of GTM strategy and AI operations.
• 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, able to explain a technical concept to someone who has never thought about it before.
• 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, through formal training, one-on-one coaching, or team enablement programs.

Details

• Location: California, United States.