What does a Forward Deployed Engineer do at NANGO?

Forward Deployed Engineers at NANGO are embedded directly with enterprise customers to implement and customize the platform, build integrations, and solve technical problems in real-world client environments. They combine software engineering skills with direct customer interaction, writing production code while also serving as the primary technical point of contact.

What skills are required for this Forward Deployed Engineer (Founding) role?

The Forward Deployed Engineer (Founding) role at NANGO typically requires strong software engineering skills (Python, TypeScript, SQL), experience with APIs and system integration, comfort with cloud platforms, and the ability to communicate complex technical topics to non-technical stakeholders. Most FDE roles require 3-7 years of engineering experience.

Is this Forward Deployed Engineer position at NANGO remote?

Remote availability varies by NANGO FDE role. Some positions are fully remote, others require travel to customer sites, and some are hybrid. Check the full job description above for the specific location requirements for this posting.

NANGO

Forward Deployed Engineer (Founding)

$120K - $200K Remote US Mid Posted October 12, 2026

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Role Description

Forward Deployed Engineer

Nango (YC W23) lets developers build product integrations with AI. It gives agents and applications access to the APIs their users rely on.

More than 700 paying customers use Nango today, including ServiceNow, Replit, Ramp. We are a YC-backed team of 14 from AWS, GitHub, Okta, Snyk, Netlify, Uber, Samsara, Workato, and other leading developer-tool companies.

We are hiring a Forward Deployed Engineer to help customers build with Nango and turn their needs into better products. This is a full-stack engineering role with heavy customer interaction. Expect frequent customer calls, Slack conversations, and pairing sessions alongside hands-on coding. Excellent communication and customer-facing skills are essential.

What You’ll Do

Work directly with customers from technical evaluations to production & beyond.
Lead customer calls, pairing sessions, and technical deep dives.
Build integrations and resolve complex implementation and platform issues.
Ship full-stack product improvements, from design through deployment.
Keep customers informed with clear updates, expectations, and next steps.
Shape the roadmap with what you learn from customers.

Who You Are

You communicate exceptionally well in English, on calls and in writing.
You build customer trust, listen carefully, and explain technical tradeoffs clearly.
You enjoy frequent customer interaction and helping developers succeed.
You have 5+ years of full-stack engineering experience.
You translate customer needs into thoughtful, lasting product solutions.
You are comfortable debugging APIs, integrations, and production systems.
You manage multiple customer priorities and follow through reliably.
Experience with developer tools or customer-facing engineering is a plus.

Location

This is a remote role open to candidates based in North America & Europe

Compensation Range: $120K - $200K

About Forward Deployed Engineering

Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.

Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.

Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.