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
GTM PLATFORM ENGINEERING
Own full-stack feature delivery across TypeScript/Node.js backends and React/TypeScript frontends for internal tooling
Write Python automation scripts, ETL pipelines, and data transformation layers that feed GTM analytics and AI context
Collaborate with Systems Engineering and GTM Engineering teams on cross-cutting API standards, data contracts, and integration patterns
Conduct code reviews, establish engineering standards, and actively mentor junior engineers toward higher leverage
AI-NATIVE DEVELOPMENT PRACTICE
Use AI coding assistants (Claude, Cursor, GitHub Copilot) as primary engineering accelerators — not supplements — to ship at a pace that punches above a single engineer's weight
Document AI usage patterns, prompt templates, and agentic workflows so the team's collective throughput compounds
Stay current on MCP protocol evolution, agent frameworks (LangGraph, CrewAI, custom), and emerging LLM capabilities; bring back what matters
REQUIRED QUALIFICATIONS
5+ years of professional software engineering experience with production systems
Expert-level TypeScript and Node.js — idiomatic, typed, testable server-side code
Strong Python — automation scripts, data pipelines, and scripting for AI/ML tooling
Meaningful AWS deployment experience: Lambda, Bedrock, ECS/Fargate, API Gateway, IAM, Secrets Manager, CloudWatch
Demonstrated experience integrating with LLM APIs (OpenAI, Anthropic, AWS Bedrock, or equivalent) and shipping AI-powered features to real users
Solid foundation in REST API design, OAuth 2.0 / OIDC authentication, and secure credential management
Experience with CI/CD pipelines, infrastructure-as-code (Terraform, CDK, or SAM), and cloud cost awareness
Clear written communication: design docs, ADRs, and runbooks that others actually read
Track record of using AI tools (LLM assistants, copilots, agentic workflows) as a genuine productivity multiplier — not a gimmick
STRONGLY PREFERRED
Hands-on experience with MCP (Model Context Protocol) — building servers, defining tool schemas, or operating multi-server agent environments
GCP experience (Cloud Run, BigQuery, Cloud Functions) to complement AWS work
Salesforce, HubSpot, or other CRM API integration work — understanding GTM data models is a significant advantage
React or Next.js front-end capability to ship internal dashboards and tooling without hand-offs
Familiarity with agent orchestration frameworks: LangGraph, AutoGen, CrewAI, or custom orchestration patterns
Experience in a GTM Systems, RevOps, or Sales Engineering context
Okta / identity provider integration work (PKCE flows, SCIM, token management)
HOW WE OPERATE
The Foundry runs on three principles that every team member is expected to embody:
Ownership — You own the full lifecycle of what you build: design, delivery, observability, and iteration. We don't have a separate ops hand-off.
Velocity — We ship to production in days, not quarters. AI tools are how we maintain that pace without sacrificing quality.
Atomicity — Every deliverable is a discrete, composable unit — an MCP server, an agent, an API. Nothing we build requires everything else to work.
WHO THRIVES HERE
This role is a strong fit if you are genuinely excited to work at the intersection of AI infrastructure and internal product — not just as a user of AI, but as someone building the layer that makes AI useful for an entire go-to-market organization. You are comfortable with ambiguity, you default to shipping, and you see every piece of internal tooling as a product that deserves operational discipline.
This role is not a fit if you need heavily defined requirements before starting work, prefer long planning cycles to iterative delivery, or view AI tools as optional extras rather than core to how you operate.
Equal Opportunity Employer
ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
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Visa Sponsorship
Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions.
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AI Processing Notice
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