Forward Deployed Engineer, GTM

KONG; Sacramento (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Kong is seeking a GTM Forward Deployed Engineer in Sacramento to build and launch AI agents that support Marketing, Sales, Product and Revenue Operations. You will integrate platforms like Salesforce, Slack, Claude Code, Gemini, Snowflake, Marketo, and Jira to automate GTM workflows.

You will prototype agents, create prompts, define persona and fallback logic, test outputs, and document architectures for scalable automation across the global GTM organization while ensuring security and

Qualifications

• 5+ years of software engineering experience.
• Experience deploying AI workflows or LLM agents in production.
• Ability to document tooling and playbooks at scale.
• Strong cross-functional collaboration and communication.

Responsibilities

• Prototype and deploy AI agents for GTM objectives.
• Create prompt templates and system instructions.
• Define agent persona, tone, and fallback logic.
• Connect LLMs to GTM systems to re-engineer processes.
• Document agent logic for scalable automation.
• Audit production agents to fix drift and gaps.
• Collaborate with GTM Analytics for real-time insights.
• Develop prompt libraries and training sessions to maximize value.
• Ensure security, legal, and company AI standards.

Skills

Software engineering

GTM knowledge

AI workflows

Communication skills

Tools

Claude & Claude Code

LLM APIs

Workflow platforms

API management

Job description

Are you ready to unlock intelligence?

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.