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
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
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
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