Nango

Technical Content Engineer at Nango (United States)

Nango· United States· $30–$150/hr·

Role details

Salary
$30–$150/hr
Work type
Remote
Employment
Contract

Job description

(Remote — North America, LATAM or Europe) Nango (YC W23) connects AI agents to the 1,000+ systems where work happens, providing a critical connectivity layer for the AI stack. Nango serves 700+ paying customers, including ServiceNow and Replit. We’re a YC-backed team of 20 from AWS, GitHub, Okta, Snyk, and other leading tech companies. 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.

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Why work at Nango

  • 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.

Application questions