GTMAnywhere, Anyplace

Forward Deployed Engineer

About Us

CopilotKit is the #1 open-source platform for building AI Copilots — intelligent agents designed to work with users inside of real applications. In our first two years, we’ve delivered the fastest growing Javascript AI framework of all time, and built a vibrant community (40k+ GitHub stars, millions of weekly installs, 10s of millions of copilot interactions, double-digit MoM growth), are already monetizing at the enterprise level, and are used by companies ranging from startups to Fortune 100s (including production usage by over 10% of Fortune 500s).

We’re emerging as the default for a critical part of the AI stack: the agent/user interaction layer. CopilotKit brings agents out of demos and terminals and into production, through deep integrations with the leading AI infrastructure companies and hyper-scalers (including the leading AI/infra teams at Google, Microsoft, Amazon, Oracle, LangChain, Mastra, Pydantic, Agno, and others).

Our small, fast-moving team is building the agentic application platform that will define how user-interactive AI actually manifests in the real world. This is a unique opportunity to join as an early leader on one of the most complex and high-leverage surfaces in AI — with significant scope for technical, product, and leadership growth.

The Role

You'll be the primary technical contact for Global 1000 prospects and enterprise customers — riding shotgun with sales to demonstrate, architect, and build with CopilotKit. You'll run live demos, code proof-of-concepts, and provide hands-on technical guidance to help customers confidently get to production.

This role requires both technical depth and customer energy. You'll hold weekly working sessions debugging customer code, provide architectural advice on agent-user interaction patterns, triage issues and questions from customers, and create technical content that converts prospects. You'll work directly with engineering leadership for support and mentorship while helping shift from individual heroics to a scalable GTM machine.

We're Looking for Pilots, Not Just Mechanics

You need to think at the level of systems and outcomes — not just implementation. You're fluent in AI-assisted development as your primary mode of working, directing AI to rapidly prototype demos and explore customer architectures (where allowed) while evaluating outputs and course-correcting in real time. You've shipped meaningful work this way and understand that effective pre-sales engineering requires this higher-level perspective combined with the ability to code alongside customers.

What You'll Do

Act as primary technical contact during sales and POC calls with Global 1000 companies
Run live product demos and code demo applications for specific customer use cases
Hold weekly technical working sessions with customer teams: architecture advice, debugging, and inbound questions
Provide white-glove support through design reviews, priority bug fixing, and production readiness guidance
Partner with sales and GTM teams to design POCs that convert prospects
Create walkthroughs and technical pitches for both technical and business stakeholders
Capture customer feedback and advocate effectively with engineering on their behalf

What We're Looking For

Strong foundation in TypeScript (React) or Python
Experience building and architecting AI agents
AI-native workflow: You actively use AI tools (Copilot, Cursor, Claude, etc.) to rapidly prototype demos, explore architectures, and accelerate customer engagements; think at the level of systems and outcomes, directing AI while evaluating outputs critically
Ability to explain technical concepts simply and persuasively to engineers and business leaders
Comfortable presenting to both engineers and business stakeholders
Prior work in pre-sales, Solutions Engineering, or DevRel with extensive customer-facing experience
Curiosity and scrappiness — excited to learn and share, even when speculative
Interest in developer tools and open source ecosystems

Bonus Points

Familiarity with agent frameworks like LangGraph, CrewAI, Google ADK, etc.
Experience with technical content creation (blog posts, demos, walkthroughs)
Active participation in developer communities and events
Willingness to travel for important clients (world-wide)

Why Join Us

Work on foundational AI tech: Build the infrastructure powering the next wave of user-facing, AI-native applications

Ship from zero-to-one: Join early enough to shape the product, architecture, and engineering culture while riding the wave of real traction and momentum

Be surrounded by top talent: Join an A+ team and collaborate with world-class engineers, researchers, and AI infra leaders

Make open-source impact: Build in public with a fast-growing, engaged developer community

Own meaningful upside: Competitive salary and real equity with early-stage ownership and line-of-sight to value creation

Build your network: Daily and weekly work alongside the most important teams of the world’s most important companies; on the infrastructure side, the ai/infra teams of Google, Microsoft, Amazon, Oracle, Langchain, Mastra, Pydantic, Agno, and others; on the customer side, the leading ai product initiatives of the world’s top enterprises

Great benefits: 100% health coverage for employees, 50% for dependents, Dental and Vision insurance, competitive paid time off

Remote-first, high-agency culture: Flexible work, no micromanagement, and full trust and ownership

Help define a new category: Shape the direction of a fast-growing, well-funded startup building a core layer of the future AI stack

We're looking for builders with a bias toward ownership: engineers who thrive in ambiguity, love solving hard problems, and want to help create something genuinely new. You’re joining at the inflection point: product-market fit is real, momentum is strong, and the most meaningful technical decisions are still ahead.