Staff Product Engineer (up to £160k)

Dex; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Dex is partnering with a team that powers real-time AI for public services. We are seeking a Staff Product Engineer to set technical direction, design scalable distributed systems, and ship production code multiple times a day.

You will lead architectural decisions across backend, frontend, and data, while grounding work in user problems and achieving rapid release velocity with security at the forefront.

Qualifications

• Experience leading staff-level engineering for architectural breadth across backend, frontend, infrastructure, and data.
• Proven track record evolving production systems under heavy usage with modern stacks.
• Strong product instincts and ability to tie features to user value.
• Hands-on or deep interest in applying LLMs within workflows and internal tooling.

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 high stability and security.
• Evolve a modern stack based on Ruby on Rails, TypeScript, PostgreSQL, and React on GCP.
• Drive AI integration across real-time voice, interpretation, and text-generation products.
• Coach and mentor senior engineers, raising engineering standards and design quality.

Skills

Technical leadership

Staff level experience

Product sense

AI curiosity

Collaboration

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.