Product Engineer (up to £150k)

Dex

Greater London

Vor Ort

GBP 70.000 - 110.000

Vollzeit

vor 7 Stunden
Sei unter den ersten Bewerbenden

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Zusammenfassung

Dex is guiding your job search by connecting you with trusted partner companies seeking skilled frontend-focused full-stack engineers. The role emphasizes shipping end-to-end software, designing AI-assisted experiences, and collaborating with cross-functional teams to reduce manual workflows and improve reliability.

You will engage with estimators and suppliers to uncover friction, prototype rapidly with AI tools, and define your own product metrics to measure impact.

Qualifikationen

  • 3+ years shipping production software end to end with measurable user value
  • Full-stack capability with emphasis on frontend craftsmanship
  • Direct experience doing user discovery in the field
  • Clear view on agentic and human-in-the-loop product design
  • Initial use of AI-assisted tooling to prototype and define product metrics

Aufgaben

  • Own a core product surface end to end from discovery to production release
  • Design and ship AI-assisted product experiences transitioning workflows from manual data entry
  • Spend time weekly with estimators, parts managers, and suppliers to identify friction
  • Prototype and instrument features using AI-assisted developer workflows with own metrics
  • Collaborate with backend engineers on system integrations and frontend craftsmanship

Kenntnisse

Frontend focus
Full-stack
User discovery
Agentic design
AI tooling

Jobbeschreibung

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.

Dex is an AI recruiter agent that helps you run your job search. Tell Dex your stack, seniority, and what you want to build. We will manage your applications and surface other opportunities that are a fit.

The role

The automotive replacement and repair market is a multi-trillion-dollar physical ecosystem still dependent on fragmented legacy catalogs and manual cross-referencing. This company is solving it with proprietary, domain-specific AI models trained on over a billion parts and millions of vehicle configurations, already delivering near-perfect accuracy on production repair jobs. Fresh off a major Series B backed by top-tier global venture firms and led by engineers from high-reliability aerospace backgrounds, they are digitising one of the most complex physical supply chains in the world.

The work
  • Own a core product surface end to end, taking problems from initial customer discovery through architectural decisions, production release, and ongoing iteration.
  • Design and ship agentic product experiences that transition workflows from manual data entry to supervised delegation without sacrificing user trust or operational accuracy.
  • Spend dedicated time every week directly with estimators, parts managers, and suppliers to uncover mechanical friction in their daily workflows.
  • Prototype, validate, and instrument features using AI-assisted developer workflows, evaluating product impact against your own metrics rather than waiting on a dedicated data team.
  • Partner with backend infrastructure engineers on complex systems integrations while establishing shared components, interaction standards, and frontend craft across the team.
What You Bring
  • At least 3 years of experience shipping production software end to end, with clear accountability for whether what you built delivered actual user value.
  • Full-stack engineering capability with a sharp frontend lean; you write production-grade code and care about interface craft, rather than deep backend infrastructure.
  • Direct experience conducting user discovery in the field and translating friction points into shipped product decisions without waiting for a spec.
  • A clear point of view on agentic and human-in-the-loop product design, specifically how workflows transition from manual operation to supervised delegation while preserving trust.
  • First-instinct use of AI-assisted tooling to prototype rapidly, paired with the ability to define, instrument, and interpret your own product metrics.
Why apply through Dex

True product engineering roles combining real vertical AI models with end-to-end surface ownership are rare, and finding them through traditional job boards usually leads to shallow wrappers. Applying through Dex bypasses cold applications and puts your technical craft directly in front of the hiring team. You get transparent, unvarnished briefing on the team, cap table, and engineering challenges before your first call.

As part of the recruitment process at Dex, we process your personal data in accordance with our Privacy Notice for Job Applicants. This notice explains how and why your data is collected and used, and how you can contact us if you have any concerns.

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