Nivoda

Nivoda

Senior Fullstack Engineer

US · Senior

Sponsorship not specified$170k-$190kDetected 12 days ago
TypeScriptReactNode.jsFull-Stack DevelopmentSnowflakedbtComputer VisionLLMsRAGA/B TestingSupply ChainLogisticsCommunicationWriting

About the role

  • We connect thousands of suppliers and retailers across 100+ countries, processing $300M+ in annual transactions - and we're just getting started.
  • We're not a company that moves slowly and ships carefully.
  • We democratise access to inventory, pricing, and logistics so that a jeweller in Boston has the same power as a trading house in Antwerp.

Nice to have

  • Stay close to the latest in AI tooling, engineering practices, and developer productivity - and bring what you learn back to the team.
  • 5+ years of full-stack engineering experience, with a track record of shipping production features in TypeScript/Node.js and React (or equivalent modern stack).
  • You know how to ship something imperfect and iterate fast.
  • Active, fluent use of AI coding tools in your day-to-day workflow - you've moved beyond the basics and have a clear view on where AI makes you faster and where it doesn't.
  • Strong instincts for technical trade-offs in a fast-moving environment - you can tell the difference between debt that's fine to carry for now and debt that will hurt the team in two sprints.
  • Clear, direct communication - you can explain a technical decision to a PM in two sentences and to a fellow engineer in a whiteboard session.
  • Based in or willing to commute to Boston regularly for in-person collaboration.
  • Experience working in a growth engineering context - conversion optimisation, retention and lifecycle tooling, referral loops, pricing and monetisation, or experimentation platforms.

Compensation

  • Flexible compensation card (meals, transport, childcare)

Benefits

  • Private health insurance
  • Unlimited holiday allowance
  • Opportunities for growth, learning, and career development

This listing is sourced directly from Nivoda's careers page and normalized into a canonical job model.