Senior Software Engineer, Internally Deployed Products

Responsibilities

• MCP Server Platform
• Design, build, and operate Model Context Protocol servers that expose CRM, ticketing, analytics, and communication data to AI agents across the GTM stack
• Implement Okta PKCE authentication flows and RBAC policy enforcement so agents access only the data they're authorized to touch
• Maintain deployment infrastructure on AWS (Bedrock, Lambda, ECS, API Gateway) and contribute to GCP workloads where applicable
• Own observability: structured logging, distributed tracing, latency SLOs, and on-call runbooks for every production server
• Agent Orchestration & AI-Native Products
• Build and maintain multi-step autonomous agents that execute end-to-end GTM workflows — lead qualification, deal room assembly, onboarding automation, support triage, and more
• Architect prompt engineering frameworks, tool-call schemas, and agent evaluation harnesses that make AI behavior predictable and auditable
• Integrate with LLM providers (Anthropic, OpenAI, AWS Bedrock AgentCore) and maintain version-pinned, cost-tracked model configurations
• Deliver AI-powered internal applications (web apps, CLI tools, Slack integrations) that non-technical GTM stakeholders use without friction

Languages