Forward Deployed Engineer

About the role

Our Solutions team is integral to how we build, grow, and deliver value. We help customers adopt Attio quickly, integrate it smoothly, and unlock lasting impact. With technical fluency and deep empathy, we guide teams through complex use cases, share insights that shape the product, and turn great onboarding into long-term success.

We're looking for a Forward Deployed Engineer who is an expert Go To Market Engineer, opinionated, and deeply customer‑obsessed — and wants to help reinvent how millions of people work.

What you'll do

• Deploy into Attio's highest‑value customers to architect, advise, and deploy a best‑in‑class GTM stack, with Attio at its core
• Design best‑practice Attio configurations tailored to each customer's specific business model and GTM motion, from data architecture to integrations to cross‑team rollout
• Lead and execute time‑boxed build projects, delivering real working product: data models, integrations, sequences, workflows, SDK apps
• Build and architect custom API integrations and no‑code automations (Zapier, N8n, Make, and equivalents) to connect Attio to the rest of a customer's stack
• Collaborate with Customer Success Managers as a technical counterpart to jointly manage shared accounts
• Identify where customers are blocked, under‑adopted, or leaving value on the table
• Bring customer insight back to our Product team, acting as a direct line between our highest value customers and our roadmap
• Design a range of engagement models — from Expert referrals to self‑serve playbooks — that match support to customer need, and continuously iterate on how Attio delivers world‑class outcomes at scale

What you'll bring

• 2+ years as a developer, GTM engineer, or in a technical solutions role
• Deep hands‑on experience with GTM tooling — you understand how sales, CS, and marketing teams operate and what actually matters to the people using these tools every day
• Technical depth and ability to architect API integrations live in customer meetings
• Hands‑on experience building with AI coding platforms (Claude Code, Cursor, or equivalents) to ship JavaScript and create reusable internal tooling
• A genuine curiosity about the AI landscape and a habit of experimenting early — you're not waiting for the use case to be obvious before you start building
• Strong command of the no‑code/low‑code integration stack — N8n, Zapier, Make — and the ability to quickly form a credible opinion on an unfamiliar tool
• Comfort with data infrastructure concepts: ETL, reverse ETL, CDPs, tools like Segment, Rudderstack, and Polytomic