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Referment

Product Engineer (B5B6453)

Europe (non-EU)

October 5, 2026 at 12:34 AM

✨ AI summary

Location

  • London, United Kingdom

Programming Languages

  • Go
  • TypeScript

Frameworks

  • React
  • Next.js

Cloud Services

  • AWS
  • GCP

Databases

  • Postgres
  • Redis
  • BigQuery
Referment is working with an AI-powered B2B marketing technology company whose platform personalises content, tracks account engagement and supports sales activity across the buyer journey.

This is a product-engineering role with ownership from customer problem through architecture, implementation and iteration. You will work across backend services, web interfaces, event infrastructure and AI-powered features, collaborating directly with Product, customers and commercial teams to decide what should be built as well as how to build it. The role is available on a hybrid London basis or remotely.

The Role

  • Lead product problems from an ambiguous customer need through design, delivery and iteration.
  • Build Go services and TypeScript, React and Next.js interfaces used by enterprise marketing and sales teams.
  • Develop AI-powered functionality for content generation, account intelligence and campaign automation.
  • Design scalable event pipelines, identity resolution, CRM synchronisation and integration infrastructure.
  • Work with Kafka, Postgres, Redis and BigQuery across AWS and GCP environments.
  • Partner with Product, customers and go-to-market teams to shape priorities and evaluate commercial outcomes.

What We’re Looking For

  • A product-minded engineer who focuses on solving the right customer problem across the stack.
  • Experience leading projects from an unclear brief to a production release, ideally in a startup or fast-moving product team.
  • Production experience in at least one of Go, TypeScript and React, or cloud infrastructure on AWS or GCP, with willingness to learn the rest.
  • Comfort making decisions without a detailed specification and taking responsibility for the result.
  • Clear written and verbal communication with technical and non-technical colleagues.

Experience with high-volume event systems, CRM integrations, data infrastructure or production AI features would be particularly relevant, but the source does not require every technology listed.

This could suit a strong full-stack, backend or product-focused engineer who wants direct customer context and end-to-end ownership rather than narrowly defined tickets.

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