K

Kong

High-performance API management and connectivity

Forward Deployed Engineer - GTM

AI Application EngineeringConfirmed live in the last 24 hours
Full-time$125.4k - $179.1k /yrRemote

About the Job

Requirements

  • Have at least 5 years of software engineering experience.
  • Have working knowledge of go-to-market strategy and AI operations, with hands-on experience putting AI workflows or large language model agents into production.
  • Have experience creating internal documentation, toolkits, and playbooks that remained useful beyond the candidate's involvement and were adopted at scale.
  • Have experience in a technical or cross-functional role requiring problem-solving across teams and functions.
  • Have specific examples of building AI-powered tools, automations, or workflows that changed how real work gets done.
  • Be able to explain technical concepts clearly and concisely to people unfamiliar with them.
  • Be comfortable working with ambiguity and self-direction without a detailed roadmap.

Responsibilities

  • Prototype and deploy AI agents for customer retention, pipeline generation, go-to-market productivity, deal inspection, account research, opportunity updates, and meeting preparation.
  • Create prompt templates and system instructions to produce accurate, consistent outputs.
  • Define agent personas, tone, and fallback logic.
  • Re-engineer go-to-market processes by connecting large language models to go-to-market systems.
  • Build and test agentic tools quickly.
  • Document agent logic and prompt structures to support scalable, independent automation across the global go-to-market organization.
  • Test system prompts, context retrieval, and model selection to improve output quality, seller adoption, and deal velocity.
  • Track and audit production agents, and promptly fix output drift, performance gaps, and accuracy issues.
  • Partner with go-to-market analytics teams to integrate go-to-market data sources for real-time customer and pipeline insights.
  • Create practical prompt libraries, quick-reference playbooks, and training sessions to maximize value for sellers, customers, and potential customers.
  • Ensure prompts, workflows, and deployed solutions meet security, legal, and company artificial intelligence standards.

Desired Qualifications

  • Have hands-on experience with artificial intelligence development platforms and tools such as Claude, Claude Code, Model Context Protocols, large language model application programming interfaces, custom agent frameworks, or workflow automation platforms.
  • Have a background in change management or organizational development, or experience with a large-scale rollout that required bringing skeptical stakeholders along.
  • Have experience in solutions engineering requiring earning trust and delivering results quickly.
  • Be familiar with enterprise software-as-a-service tools Kong uses, such as Okta, Slack, Google Workspace, Salesforce, Jira, or Freshservice.
  • Be familiar with Kong Konnect, Kong Gateway, or application programming interface management concepts, including how APIs and AI models connect.
  • Have experience helping others develop technical skills through formal training, one-on-one coaching, or team enablement programs.

About the Company

Kong

High-performance API management and connectivity

Kong provides API management and connectivity for cloud-native applications. Its main products are Kong Gateway, a high-performance API gateway; Kong Konnect, a unified SaaS platform for API management; and Kong Mesh, an enterprise service mesh for coordinating microservices. It differentiates itself by combining an open-source core with premium features, support, and managed services, with a strong focus on Kubernetes and scalable API traffic. The goal is to help businesses build, secure, and scale their APIs and microservices to boost developer productivity and application performance.

Company size
1,001-5,000
Company stage
Series E
Total funding
$345.6M
Headquarters
San Francisco, CA
Founded
2017

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