12 days ago
Base Salary
$125k - $179k/yr
Responsibilities
- Prototype and deploy AI agents for GTM use cases including retention, pipeline generation, productivity, deal inspection, account research, opportunity updates, and meeting preparation.
- Create prompt templates, system instructions, agent personas, tone guidelines, fallback logic, and prompt libraries.
- Re-engineer GTM processes by connecting LLMs and agentic tools to GTM systems.
- Test prompts, context retrieval, and model selection, and monitor production agents for drift, performance gaps, and accuracy issues.
- Integrate GTM data sources with GTM Analytics teams to provide real-time customer and pipeline insights.
- Document agent logic and prompt structures and create playbooks, quick-reference materials, and training sessions for global GTM teams.
- Ensure deployed prompts, workflows, and solutions meet security, legal, and company AI standards.
Requirements
- 5+ years of software engineering experience.
- Working knowledge of GTM strategy and AI Operations, with hands-on experience putting AI workflows or LLM agents into production.
- Experience creating internal documentation, toolkits, and playbooks adopted at scale.
- Experience solving problems across teams and functions in a technical or cross-functional role.
- A track record of building AI-powered tools, automations, or workflows that changed how work gets done.
- Clear and concise communication skills for explaining technical concepts to nontechnical audiences.
- 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: change management, organizational development, large-scale rollout, or stakeholder adoption experience.
- Preferred: solutions engineering experience, familiarity with Okta, Slack, Google Workspace, Salesforce, Jira, Freshservice, Kong Konnect, Kong Gateway, or API management concepts.
- Preferred: experience providing technical training, coaching, or team enablement.
Tech Stack
Snowflake
Categories
Forward Deployed
About Kong
Kong builds an open-source and commercial platform for API and AI connectivity, including Kong Gateway, Kong Konnect, and service mesh tools (Kuma/Kong Mesh) to secure, manage, and observe APIs and LLM traffic across clouds. It sells subscriptions and cloud services for API lifecycle management, security, and traffic governance to enterprises and platform teams. Founded in 2017 and headquartered in San Francisco, Kong is privately held.