---
title: 'Technical Content Engineer at Nango'
canonical: 'https://feeny.ai/job/technical-content-engineer-nango-united-states-pk29hkbhkrff'
type: 'job'
last_seen: '2026-09-06'
---

# Technical Content Engineer at Nango

- **Company:** Nango
- **Location:** United States
- **Compensation:** $30–$150/hr
- **Employment:** contract
- **Work type:** remote
- **Posted:** 2026-08-12
- **Last confirmed live:** 2026-09-06
- **Apply:** https://jobs.ashbyhq.com/nango/748e3ffc-10bf-4189-8585-21d21ede74bb

## Job description

(Remote — North America, LATAM or Europe)

Nango http://nango.dev/ (YC W23) lets developers build product integrations with AI. It enables applications to connect to the real world through integrations.

More than 500 paying customers rely on Nango today, including Replit & Ramp. We are a YC-backed, mid-seven-figure ARR company with a team of 14 from AWS, GitHub, Okta, Snyk, Netlify, Uber, Samsara, Workato, and other top-tier dev tools.

We are hiring a freelance Technical Content Engineer to scale our content for engineers building product integrations. This role is paid hourly ($30 to $150).

## WHAT YOU’LL DO

- Write deeply technical content that educates developers on APIs, integrations, agents, and AI infrastructure.
- Build prototypes and write code to understand firsthand what you write about.
- Stay at the forefront of AI infrastructure and develop strong perspectives on where the industry is going.
- Shape Nango’s vision and technical narrative alongside the founders and engineering team.
- Make technical content a major driver of Nango’s awareness, adoption, and word of mouth.

## WHO YOU ARE

- You’re a software engineer with a strong computer science foundation.
- You have experience with developer tools, APIs, infrastructure, or adjacent technologies.
- You can explain complex technical ideas clearly and precisely. Professional writing experience is a plus, not a requirement.
- You have the curiosity and technical depth to understand how things actually work.
- You closely follow AI, agents, and the emerging infrastructure around them.
- You have strong independent judgment: you can research a topic, find the interesting angle, and form your own point of view.

-

## About Nango

## Company Overview
- **One-liner**: Nango provides an open-source, developer-first integration platform that lets companies build, run, and maintain product integrations (including AI agents) across 800+ APIs at scale.
- **Entity Type**: Private (funding stages: Pre-Seed, Seed, and latest round in March 2026)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2022
- **Founders**: Bastien Beurier (Co-Founder, CTO) and one other co-founder

## Core Business
- **Primary industry**: Developer infrastructure (integration platforms)
- **Target customers**: B2B – SaaS companies, AI-native products, and development teams that need to embed integrations into their products or connect AI agents to external APIs.
- **Mission/purpose**: “Connect your product & AI agents with 700+ APIs. Build, run, and maintain integrations with AI in code, on infrastructure built for scale.”

## Products & Services
- **Nango Integration Platform** (SaaS, open source, self-hostable): A unified runtime that handles authentication (OAuth, API keys, token refresh), webhooks, scheduled syncs, triggers, and logging/monitoring. It supports high concurrency, tenant isolation, and resumable executions.  
- **Nango MCP Server & AI Tools**: Expose any integration as an AI-ready tool (e.g., MCP server for Cursor), allowing agents to search, understand, and act on external data.  
- **Pre-built Integration Templates**: 3,000+ templates covering 800+ APIs (e.g., ADP, Azure DevOps, Workday, Gong, BambooHR) that can be reused or customised.  
- **Integration Code Generator**: Describe use cases in plain English to generate integration code automatically.

## Market Standing
- **Valuation**: Not disclosed
- **Key Metric**: Total funding of **$7.5M** in a round led by Gradient (March 2026), with participation from Horizon and Y Combinator. Prior rounds include a $3M seed (2023) and $500k pre-seed (2023).  
- **Annual Revenue**: Not publicly disclosed, but the company reports **7-figure ARR** and serves “hundreds of companies” (nango.dev/blog).
- **Notable Investors/Partners**: Gradient (lead), Horizon (seed/early backer), Y Combinator (W23 batch).
- **Growth Signals**:  
  - Headcount grew **142.9% year-over-year** to 9 employees (LinkedIn).  
  - Monthly website visits of 151k, up **111% yearly** (LinkedIn).  
  - Team operates across 6 countries (US, Brazil, Switzerland, Poland, Spain, Argentina).  
  - Claims **1M+ integrations** run on its infrastructure.

## Competitive Advantages
- **Open-source & self-hostable**: Customers can deploy in their own environment, inspect infrastructure, and extend integrations in code.
- **Developer-first with AI readiness**: Integrations are defined as code (API-first, CI/CD, local dev). The platform exposes any integration as an MCP tool for AI agents.
- **Proven scale**: Built to handle high concurrency (<100ms schedule-to-execution), with tenant isolation and 99.9% uptime.
- **Broad API coverage**: 800+ APIs and 3,000+ templates, reducing the need to build from scratch.
- **Lean, high-quality engineering**: A small team of experienced platform engineers (many from Datadog, Snyk, etc.) enables fast, durable systems without large overhead.

## Strategic Focus
- **Investing in AI agent integrations**: Nango’s MCP server and agent-friendly tools are central to their roadmap; they see integrations as a competitive edge for AI-native SaaS.
- **Expanding API coverage and pre-built templates** to reduce time-to-integration for customers.
- **Maintaining a tight, remote-first team** while growing revenues and usage, staying selective about hires to preserve velocity and quality.

## Why Work Here
- **Fully remote** – team distributed across the US, Europe, and LATAM; outcomes over hours.
- **Open-source culture** – transparency, community, and developer friendliness are core values.
- **Expert-led** – colleagues come from developer infrastructure companies (e.g., Datadog, GitHub, Snyk); engineers work on hard problems (distribution, scale, API fragmentation).
- **Impact & ownership** – small team (7–9 people) means direct contribution to product decisions and architecture; engineers do support and shape the roadmap.
- **Technical challenges** – from building a custom Postgres-based scheduler to handling OAuth flows, rate limits, and schema quirks across hundreds of APIs.
- **High growth trajectory** – 7-figure ARR, fast-growing user base, and a fresh $7.5M round signal momentum without sacrificing quality of life.

## Sources
1. [nango.dev - Careers](https://www.nango.dev/careers)
2. [nango.dev - Homepage](https://nango.dev/)
3. [LinkedIn - Nango Company Page](https://www.linkedin.com/company/nangohq)
4. [nango.dev - Blog: Building a developer infrastructure team](https://nango.dev/blog/building-a-developer-infrastructure-team)
5. [jobs.ashbyhq.com - Nango Jobs](https://jobs.ashbyhq.com/Nango)

## Other roles at Nango

- [Product Manager (Founding)](https://feeny.ai/job/product-manager-founding-nango-san-francisco-z8mp9ekx3bjw) — San Francisco, CA
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- [Head of Sales](https://feeny.ai/job/head-of-sales-nango-san-francisco-rp1f8mfpnkfp) — San Francisco, CA
- [Enterprise Account Executive (Founding)](https://feeny.ai/job/enterprise-account-executive-founding-nango-san-francisco-ythwt2ybrj14) — San Francisco, CA
- [Staff Engineer, Platform & Infrastructure](https://feeny.ai/job/staff-engineer-platform-infrastructure-nango-united-states-mg5gvkgezgv3) — United States
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