Staff Product Engineer (up to £160k)

Dex

Greater London

Hybrid

GBP 90,000 - 140,000

Full time

20 hours ago
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Job summary

Dex seeks a Staff Product Engineer to set technical direction, architect scalable systems, and ship production software multiple times daily. You will work closely with cross‑functional teams to deliver high‑impact public‑facing products and drive AI initiatives.

You will lead a modern stack built on Ruby on Rails, TypeScript, PostgreSQL, and React on GCP, mentoring engineers while ensuring security and reliability in a hybrid London office environment.

Qualifications

  • Track record of technical leadership at Staff level or equivalent.
  • Experience evolving and scaling production systems under heavy usage.
  • Strong product instincts and user-focused decision making.
  • Pragmatic curiosity about AI and hands-on or applied AI interest.
  • Based in or near London with ability to work hybrid from a central London office.

Responsibilities

  • Set overarching technical direction and architecture for the department to scale to millions of interactions.
  • Ship continuously to 100,000+ daily frontline users with velocity and reliability.
  • Evolve and scale a modern stack (Ruby on Rails, TypeScript, PostgreSQL, React on GCP).
  • Drive generative AI use across real-time voice, interpretation, and text generation products.
  • Coach and mentor senior engineers, raising the bar on system design.

Skills

Technical leadership
Architectural breadth
Product instincts
AI curiosity
Hybrid work experience

Tools

Ruby on Rails
TypeScript
React
PostgreSQL
GCP

Job description

This role is with one of Dex's trusted partner companies. We work closely with their teams to truly understand their culture, goals, and what they're looking for, so we can match you with the right opportunity and give you context about the role before you commit to a process.

The role

Over 120,000 frontline public service workers across more than 400 organisations rely on this company's AI platform daily to handle case notes, live interpretation, and high-stakes calls. While most AI products remain stuck in proof‑of‑concept limbo, this team has deployed real‑time generative tooling into mission‑critical public infrastructure, backed by founders of category‑defining global tech companies. As a Staff Product Engineer, you will set technical direction for your department, designing distributed systems that can scale globally while shipping directly to production multiple times a day. This is not an ivory‑tower architecture role where you hand down diagrams from a distance, nor is it an isolated AI research seat. You will stay grounded in user problems, pairing architectural ownership with hands‑on delivery to shape how public services operate at scale.

The work
  • Set the overarching technical direction and architecture for your department, building systems capable of scaling to millions of public service interactions.
  • Ship continuously to 100,000+ daily frontline users, maintaining rapid release velocity without sacrificing platform stability or security.
  • Evolve and scale a modern stack based on Ruby on Rails, TypeScript, PostgreSQL, and React on GCP.
  • Drive how generative AI is implemented across real‑time voice, interpretation, and text‑generation products, while pioneering internal AI tooling for the engineering org.
  • Coach and mentor senior engineers, establishing rigorous engineering standards and raising the bar on system design across the product team.
What You Bring
  • Track record of technical leadership across teams at Staff level or equivalent, demonstrating architectural breadth across backend, frontend, infrastructure, and data.
  • Proven experience evolving and scaling production systems under heavy usage, comfortable working across modern Ruby on Rails, TypeScript, React, and PostgreSQL.
  • Strong product instincts with a habit of interrogating why a feature matters to end users before deciding how to build it.
  • Pragmatic curiosity about AI, with hands‑on experience or deep interest in applying LLMs both within user‑facing workflows and internal engineering practices.
  • Based in or near London and able to work hybrid from their central London office.

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