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At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀The MissionThe Foundry is ClickUp's internal AI innovation lab — embedded inside GTM Systems and accountable for turning AI capabilities into production-grade, internally deployed products that make every GTM function faster and smarter. We build the infrastructure that powers AI-first work across Sales, Marketing, Post-Sales, and Revenue Operations.As the Senior Software Engineer on this team you will own the technical delivery of our MCP server platform, agent orchestration layer, and internal tooling — shipping production systems used daily by hundreds of ClickUp employees, and scaling your own throughput by treating AI tools as first-class engineering collaborators.What You'll OwnMCP Server PlatformDesign, build, and operate Model Context Protocol servers that expose CRM, ticketing, analytics, and communication data to AI agents across the GTM stackImplement Okta PKCE authentication flows and RBAC policy enforcement so agents access only the data they're authorized to touchMaintain deployment infrastructure on AWS (Bedrock, Lambda, ECS, API Gateway) and contribute to GCP workloads where applicableOwn observability: structured logging, distributed tracing, latency SLOs, and on-call runbooks for every production serverAgent Orchestration & AI-Native ProductsBuild and maintain multi-step autonomous agents that execute end-to-end GTM workflows — lead qualification, deal room assembly, onboarding automation, support triage, and moreArchitect prompt engineering frameworks, tool-call schemas, and agent evaluation harnesses that make AI behavior predictable and auditableIntegrate with LLM providers (Anthropic, OpenAI, AWS Bedrock AgentCore) and maintain version-pinned, cost-tracked model configurationsDeliver AI-powered internal applications (web apps, CLI tools, Slack integrations) that non-technical GTM stakeholders use without frictionGTM Platform EngineeringOwn full-stack feature delivery across TypeScript/Node.js backends and React/TypeScript frontends for internal toolingWrite Python automation scripts, ETL pipelines, and data transformation layers that feed GTM analytics and AI contextCollaborate with Systems Engineering and GTM Engineering teams on cross-cutting API standards, data contracts, and integration patternsConduct code reviews, establish engineering standards, and actively mentor junior engineers toward higher leverageAI-Native Development PracticeUse 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 weightDocument AI usage patterns, prompt templates, and agentic workflows so the team's collective throughput compoundsStay current on MCP protocol evolution, agent frameworks (LangGraph, CrewAI, custom), and emerging LLM capabilities; bring back what mattersRequired Qualifications5+ years of professional software engineering experience with production systemsExpert-level TypeScript and Node.js — idiomatic, typed, testable server-side codeStrong Python — automation scripts, data pipelines, and scripting for AI/ML toolingMeaningful AWS deployment experience: Lambda, Bedrock, ECS/Fargate, API Gateway, IAM, Secrets Manager, CloudWatchDemonstrated experience integrating with LLM APIs (OpenAI, Anthropic, AWS Bedrock, or equivalent) and shipping AI-powered features to real usersSolid foundation in REST API design, OAuth 2.0 / OIDC authentication, and secure credential managementExperience with CI/CD pipelines, infrastructure-as-code (Terraform, CDK, or SAM), and cloud cost awarenessClear written communication: design docs, ADRs, and runbooks that others actually readTrack record of using AI tools (LLM assistants, copilots, agentic workflows) as a genuine productivity multiplier — not a gimmickStrongly PreferredHands-on experience with MCP (Model Context Protocol) — building servers, defining tool schemas, or operating multi-server agent environmentsGCP experience (Cloud Run, BigQuery, Cloud Functions) to complement AWS workSalesforce, HubSpot, or other CRM API integration work — understanding GTM data models is a significant advantageReact or Next.js front-end capability to ship internal dashboards and tooling without hand-offsFamiliarity with agent orchestration frameworks: LangGraph, AutoGen, CrewAI, or custom orchestration patternsExperience in a GTM Systems, RevOps, or Sales Engineering contextOkta / identity provider integration work (PKCE flows, SCIM, token management)How We OperateThe 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 HereThis 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.Unsure if you meet all the qualifications of this job description but are deeply excited about the role? We hire based on ambition, grit, and a passion for improving the way people work. If you think ClickUp is the company for you, we encourage you to apply!At ClickUp, we assess every candidate based on the potential impact they can have. We hire the best people for the job and support each person’s journey to build their boldest career.Salary and BenefitsAt ClickUp, we believe in transparency and fairness in compensation. The range displayed reflects the minimum and maximum target salaries for the position across all US locations. Please note that the actual compensation for this position may vary and is dependent on factors such as geographic location, interview performance, years of experience, education level, and specific skills. We encourage candidates to discuss compensation expectations during the interview process to ensure alignment with their qualifications and our company’s compensation philosophy.This position is eligible for the following benefits and perks:Equity401kHealth, Dental, and Vision insuranceSpending accountsLife & DisabilityPaid parental leaveFlexible paid time offEnhanced employee assistance programEmployee wellness stipendProfessional development stipend
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