All open roles

Product Engineer

  • Product
  • London, United Kingdom
  • Full Time
01Overview

About the role

Own AI-native product features end to end in Quillstone's merchant and operations dashboard: talk to users, write the spec, build the React front end and the API, instrument it, and decide with data whether it stays. You will work in a small squad where engineers make product decisions.

Benefits & perks

  • Health Insurance

    Private medical insurance (Bupa) for you and dependants.

  • Equity

    Meaningful stock options, 4-year vest with 1-year cliff.

  • Flexible Work

    Hybrid: 2 days a week in the Shoreditch office.

  • Paid Time Off

    30 days holiday plus bank holidays.

  • Parental Leave

    26 weeks fully paid parental leave.

  • Wellness / Stipend

    £100 monthly wellness stipend.

02Responsibilities
  • 01Build full-stack features in TypeScript, React, Next.js and Node.
  • 02Integrate LLM capabilities with streaming UX and structured outputs.
  • 03Run user interviews and turn findings into specs.
  • 04Instrument features and run experiments to decide what to keep.
  • 05Maintain offline evaluation suites for AI features in CI.
03Skills & competencies

What we evaluate against.

Product Judgment & Prioritisation

Must have

  • Has decided to cut or reshape a feature based on user or metric evidence.

Nice to have

  • Writes their own specs.

AI & Technical Fluency

Must have

  • Has shipped an LLM-powered feature to production users.
  • Can describe a failure mode of that feature and how the UX handles it.

Nice to have

  • Maintains evaluation or prompt tests in CI.

User & Workflow Insight

Must have

  • Has run user interviews and changed a design because of them.

Nice to have

  • B2B or finance user research experience.

Experimentation, Evaluation & Learning

Must have

  • Has run an A/B test or evaluation and acted on a null or negative result.

Nice to have

  • Uses product analytics tooling day to day.

Cross-Functional Product Delivery

Must have

  • Has shipped full-stack features end to end with measurable outcomes.

Nice to have

  • Resolved a design/engineering trade-off that shipped.
04Team dynamics

Team Structure

AI platform squad of 8 engineers working alongside disputes and reconciliation product teams.

Operating Rhythm

Two-week sprints, weekly customer calls, monthly model-risk review.

Communication

Written-first; design docs precede every customer POC.

Conflict Resolution

Disagreements settled on evaluation data, escalated to the CTO only on regulatory risk.

05Company culture

Ownership

Squads own their product metrics and their on-call.

Innovation

A tenth of every sprint is reserved for experiments.

Feedback

Written feedback cycles every six weeks.

Diversity & Inclusion

Structured interviews and published salary bands.

06What success looks like

First 30 days

Ship a production change to the disputes dashboard and join three customer calls.

90 days

Report experiment results and make a keep / kill recommendation.

Outcomes

Own a product area and its metrics end to end.