Forward Deployed Engineer, GTM

Kong Inc.

. Prototype and deploy AI agents for customer retention, pipeline generation, GTM productivity, deal inspection, account research, opportunity updates, and meeting preparation .

Posted 10/30/2026full-timeRemote • California • United StatesMid-LevelSenior💰 $125,370 - $179,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in deploying AI agents and workflows for customer retention and pipeline generation, with a strong focus on GTM strategy and AI operations. Proven ability to create documentation and training materials that facilitate scalable automation and enhance team collaboration.

Highest-signal resume keywords

AI Workflow DeploymentGTM Strategy KnowledgeLLM Agent ExperienceDocumentation CreationProblem-Solving Across Teams

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAI OperationsWorkflow AutomationPrompt EngineeringAgent Logic DocumentationPerformance TrackingModel SelectionOutput Quality ImprovementChange ManagementSolutions Engineering

Soft Skills

Clear CommunicationSelf-DirectionComfort with Ambiguity

Tools & Technologies

ClaudeLLM APIsGoogle WorkspaceSalesforceJiraSlackOktaKong KonnectKong GatewayFreshservice

Industry Keywords

Customer RetentionPipeline GenerationGTM ProductivityAccount ResearchOpportunity UpdatesMeeting PreparationScalable AutomationProduction AgentsOutput DriftPerformance Gaps

About the role

Key responsibilities & impact

Prototype and deploy AI agents for customer retention, pipeline generation, GTM productivity, deal inspection, account research, opportunity updates, and meeting preparation
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 for scalable automation across the global GTM organization
Test system prompts, context retrieval, and model selection to improve output quality, seller adoption, and deal velocity
Track and audit production agents to 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 prompt libraries, quick-reference playbooks, and training sessions
Ensure prompts, workflows, and deployed solutions meet security, legal, and company AI standards

Requirements

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 adopted at scale
Experience in a technical or cross-functional role requiring problem-solving across teams and functions
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
Preferred: hands-on experience with Claude, Claude Code, MCPs, LLM APIs, custom agent frameworks, or workflow automation platforms
Preferred: background in change management, organizational development, or large-scale rollouts
Preferred: solutions engineering experience
Preferred: familiarity with Okta, Slack, Google Workspace, Salesforce, Jira, or Freshservice
Preferred: familiarity with Kong Konnect, Kong Gateway, or API management concepts
Preferred: experience helping others develop technical skills
Legally authorized to work in the country where the position will be worked

Benefits

Comp & perks

Equity
Bonus
Health insurance
Dental insurance
Vision insurance
Paid holidays
PTO
Professional development opportunities and tools