Forward Deployed Engineer

Attio is the CRM built for the AI era. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We ve raised $116M from some of the world s best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A.

We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We re obsessed about the details and energized by the frontier.

If you want to do the best work of your career, this is the right place.

• 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

• 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

• 30-minute introductory phone call with a member of our Talent team
• 30-minute interview with our hiring manager
• Case study interview
• Panel interviews with relevant stakeholders
• 30-minute closing conversation with our CEO
• Offer stage

Compensation Range: $130K - $170K