Product Engineer

Dex

Greater London

On-site

GBP 70,000 - 110,000

Full time

12 hours ago
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Job summary

Dex is seeking a Product Engineer for one of its trusted partner companies. You will own a core product surface end to end, moving interfaces from manual operations toward supervised delegation, where operators state intent and underlying agents handle execution.

You will prototype concepts with AI-assisted development tools, write production code, and measure impact using live telemetry and customer feedback. This is a builder seat with high autonomy.

Qualifications

  • 3+ years shipping production software end to end.
  • Strong full-stack capability with a frontend lean.
  • Directly engaging with users to turn feedback into shipped software.
  • Clear point of view on agentic product patterns and supervised delegation.
  • High autonomy: prototype rapidly with AI-assisted tools and instrument telemetry.

Responsibilities

  • Take end-to-end ownership of a core product surface.
  • Design and implement agentic interfaces for supervised delegation.
  • Spend weekly time with estimators, parts managers, and suppliers to uncover friction and validate product directions.
  • Prototype functional concepts with AI-assisted development tools and harden them into production code.
  • Instrument telemetry and track adoption/trust metrics to guide future work.

Skills

Production software
Full-stack frontend
User engagement
Telemetry
AI-assisted development

Tools

AI-assisted development tools

Job description

This role is with one of Dex's trusted partner companies.

The role

Most applied AI products are thin wrappers around generic models that break when faced with messy physical‑world data. This Series B company built a proprietary, domain‑specific AI engine trained on over a billion parts and millions of vehicle models to automate the massive replace‑ment parts and repair industry. Backed by top‑tier global venture firms, they are solving high‑stakes cataloguing and matching problems that generalist LLMs cannot touch.

You will join as a Product Engineer owning a core surface end to end. This is a builder seat, not a ticket‑taking job: you will move interfaces from manual operations toward supervised delegation, where operators state intent and underlying agents handle the execution. You will decide where human review remains essential, spend weekly time with domain operators, write production code, and measure your own impact. If you need a fully formed PRD to start building or prefer handed‑down engineering tasks, this will not fit.

The work
  • Take end-to-end ownership of a core product surface, driving user adoption, workflow efficiency, and delivered customer value.
  • Design and implement agentic interfaces that transition workflows from manual data entry to intent‑driven, supervised delegation.
  • Spend direct time each week with estimators, parts managers, and suppliers to uncover systemic friction and validate new product directions.
  • Rapidly prototype functional concepts using AI‑assisted development tools, then harden them into clean, reliable production code.
  • Instrument your own product telemetry, track adoption and trust metrics, and prioritize what to build next based on live data and customer feedback.
What You Bring
  • 3+ years of experience shipping production software end to end, with demonstrable ownership over whether what you built delivered value.
  • Strong full‑stack capability with a frontend lean; you write production‑grade code, obsess over interaction craft, and do not need deep systems engineering specialisation.
  • Proven habit of engaging directly with users in their day‑to‑day workflow, turning messy operational feedback into shipped software without intermediation.
  • A clear point of view on agentic product patterns: how software transitions from manual entry to supervised delegation while preserving user trust on high‑stakes tasks.
  • High autonomy: you prototype rapidly with AI‑assisted tools, shape problems without waiting for specs, and instrument your own telemetry rather than relying on a data team.
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