--- title: 'Product Engineer, UK at Partly' canonical: 'https://feeny.ai/job/product-engineer-uk-partly-london-62k7qsv9wq06' type: 'job' last_seen: '2026-10-13' --- # Product Engineer, UK at Partly - **Company:** Partly - **Location:** London, United Kingdom - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-06-25 - **Last confirmed live:** 2026-10-13 - **Apply:** https://jobs.ashbyhq.com/partly.com/67568fba-017b-4c1d-a59f-f4b0497876af/application **Skills:** Full-stack engineering, Frontend development, AI-assisted development, LLM-assisted development, Rapid prototyping, Product metrics analysis, Rust, Automotive domain knowledge, Parts aftermarket knowledge, Insurance claims knowledge, Marketplace experience > Build and ship end-to-end product surfaces for Partly's AI infrastructure, focusing on agentic experiences for the global repair industry. The role involves rapid prototyping, customer immersion, and full-stack engineering to create intuitive, high-trust interfaces for estimators and parts managers. ## Job description Note: Partly is headquartered in Austin, TX with offices in London, UK, Christchurch, NZ and Auckland, NZ. Wherever you're based, we'll connect you with your nearest office for onboarding, and fly you to join the full team for our quarterly "Season Openers" (we cover travel and accommodation). If you're relocating to join us, we can also assist with relocation costs. πŸš€ Our Story Partly is building the infrastructure for anyone to repair anything. We believe everything built should be repairable, and we're building frontier AI to put repair knowledge to work, starting with the $2tn automotive market. Our model, Interpreter, is the first AI purpose-built to understand repair. Trained on 1M+ car models and 1B+ parts, it reads a repair job the way an estimator does, resolves damage into the exact purchasable part, and shows its reasoning with a confidence score. On real production jobs, an estimator working with Interpreter reaches 98.8% parts-list accuracy, against 92.1% with today's tools. It powers PartlyRepair, used by collision shops, workshops and suppliers to take the admin off the job; PartlyLabs, the agentic infrastructure enterprises use to deploy Interpreter across their own workflows; and a developer API. Founded by ex-Rocket Lab engineers, we've raised a $50m Series B led by DST Global (Anthropic, Airbnb, Meta, TikTok, Spotify), with Blackbird Ventures, WNDR, Activant Capital, Icehouse Ventures, Square Peg, Airtree and Ecliptic Venture Capital. Hear it from the team: [Why Partly exists](https://www.partly.com/nz/careers/videos/why-partly-exists) and [AI at Partly](https://www.partly.com/nz/careers/videos/ai-at-partly). πŸ–οΈ This role This is a product-builder role, not a ticket-taking one. You own a product surface end to end: you talk to the customer, form the idea, build it, ship it, measure it, and decide what happens next. The same person who understands the repairer writes the code. There is no handoff for product quality to leak through. You'll build at the center of a multi-trillion-dollar industry that still runs on phone calls, spreadsheets, and tribal knowledge. Replacement parts is one of the largest physical markets on earth and one of the least digitized, and there is no established playbook to copy. Partly is creating the category. Our moat is Interpreter, a domain-specific AI model that understands parts, vehicles, and the messy real-world relationships between them in ways general-purpose models cannot. It is what lets software finally make sense of a physical, offline industry, and it is the engine underneath everything you build. And what you build is changing shape. We are not bolting AI onto old screens. We are creating genuinely new agentic experiences for a broad spectrum of users, from estimators and parts managers to accountants and suppliers, where people express intent and supervise outcomes while agents handle the mechanical work. Designing how that trust is earned, surface by surface, while each one still delivers value today, is the heart of the role. You'll work at an inflection point in how software itself gets built. AI-assisted development has collapsed the distance between an idea and a working version of it. The builders we want already work this way: they prototype in an afternoon, put it in front of real customers within days, and read the signal themselves. We want someone who works like that now, or is visibly building toward it. πŸ’» What will you do Build, not just specify. Prototype new product iterations yourself using AI-assisted and LLM-assisted tooling, fast, disposable, real. Treat the prototype as the hypothesis and put it in front of real customers before writing the spec. Ship production code, instrument it, and watch how it actually gets used. Stay close to customers. Spend time where the work happens. Understand what estimators, parts managers, and others actually do, where they lose time, and what better would feel like. This is a core weekly activity, not an occasional input. Reconcile signal. Combine what you see with what the data says, and reconcile the two when they disagree. Turn that understanding straight into what you build next. Own the outcome. Steer by your surface's metrics; adoption and value delivered are yours. Make the call on priority and explain the reasoning, especially when the answer is no. When something is broken, own it, diagnose it precisely, and fix it. Make the trade-off. Weigh product impact against engineering effort in the same breath, and find the cheaper path to the same outcome. Build the agentic experience. Move your surface from manual operation toward supervised delegation: capture intent, decide where the human stays in the loop, and earn trust step by step so users never lose the thread of a high-stakes job. Hold the craft. The surface feels fast, clear, and considered. You push back when something does not feel right, even when it technically works. Raise the bar. Pair with SW Engineers on the harder systems work behind your surface, and contribute beyond your boundary: shared components, product craft, and what excellent building looks like here as the team grows. πŸ₯· Your skills Non-negotiables You ship end to end: a track record of taking features from idea to production, code included, with clear accountability for whether they worked. Roughly 3+ years building and shipping software in production. Genuine customer obsession: a real habit of spending time with users in their work context, with a track record of that depth driving what you build. Product taste and craft: the bar is experiences that feel effortless to time-pressured, non-technical users across fragmented, high-stakes workflows. Functional is not the finish line. A point of view on agentic product design: how an experience moves from manual operation to supervised delegation, and how automation earns user trust gradually rather than all at once. You build rapid prototypes yourself, with AI-assisted tools as a first instinct for testing an idea. Solid full-stack engineering with a frontend lean: production-quality code and sound fundamentals. Systems-specialist depth is not the point of the role. Trade-off fluency: you weigh product impact against engineering effort and often find a cheaper route to the same result. Strong analytical instinct: you define the metric, build the view, read it, and act, without waiting for a data team. You operate well in ambiguity and autonomy, and shape the problem rather than waiting for a spec. Strong signals we look for Shipped AI-assisted or agent-driven features in production, particularly where the human stays in the loop. Built for a multi-persona, operational, or workflow-heavy B2B product. Founder background, or early employee at a startup that scaled materially. You've killed or radically changed something you personally believed in, and can explain why. Bonus Domain knowledge in automotive, the parts aftermarket, repair, or insurance claims. Marketplace or network experience, from the demand or supply side. Rust, or genuine eagerness to learn it. It is part of our stack. Please note: if you don't have all the skills or experience listed above but believe you could be outstanding in this role, please still consider applying. Many people count themselves out. We'd love the chance to learn more about you and why you're exceptional. πŸͺ…Benefits - Competitive base salary + equity. We offer competitive salaries and generous equity options for all full-time employees, ensuring everyone shares in the financial upside when we win. - Annual global offsite in New Zealand. Travel with the rest of the UK and EU team as we gather and connect for 1-2 weeks at our product and engineering hub in Christchurch. - Parental leave: Primary caregivers receive 3 months of fully paid parental leave, plus a flexible return-to-work (four days on full pay for your first three months back). - Team lunches: Lunch provided daily (Monday to Friday) in the office - Flexible working hours: We have flexible working hours and default to working from the office. - Season openers & events: We host regular events, including quarterly "season openers" for our UK/EU team, monthly team catch-ups, and weekly happy hours. - Healthy body, healthy mind: Every team member gets a Β£750 annual wellness allowance on a Partly-branded card. Use on gym memberships, rock climbing, physio, massage, GP visits, prescriptions; anything that you or your family, need. ## About Partly ## Company Overview - **One-liner**: Partly builds AI-powered infrastructure to connect the global auto parts supply chain, making it easier to find, order, and manage vehicle parts. - **Entity Type**: Private (Series B) - **Headquarters**: Christchurch, New Zealand (with offices in London, UK and San Francisco, US) - **Founded**: 2020 - **Founders**: Levi Fawcett (CEO) ## Core Business - **Primary industry**: Automotive technology / AI infrastructure for vehicle repair and parts supply chain - **Target customers**: B2B β€” enterprises, multi-site operators, OEMs, and repair shops in the collision and mechanical repair industry - **Mission**: "Connect the world's parts" and build "a future where anyone can fix anything" ## Products & Services - **Interpreter**: An AI-powered platform that automates parts ordering and validation. It creates estimates from images and voice, builds optimal order baskets from multiple channels, validates orders automatically, and finds AP leakage. It removes guesswork and repetitive tasks from the repair workflow. - **Network**: A digital infrastructure layer connecting parts suppliers, distributors, and repairers to streamline communication and transactions across the supply chain. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed - **Key Metric**: Total funding of **$76.89M** (latest: $53.29M Series B raised ~June 2026) - **Notable Investors**: Octopus Ventures, Blackbird Ventures, Square Peg, I2BF, Ten13, Shasta Ventures, Icehouse Ventures, plus angel investors including Peter Beck (Rocket Lab), Dylan Field (Figma), Akshay Kothari (Notion), and Randy Reddig (Square) - **Growth Signals**: Headcount has grown 50% year-over-year to ~125 employees. Active job postings surged 200% year-over-year (42 open roles). Expanding aggressively in the US and UK markets. Already described as "NZ’s fastest-growing startup." ## Competitive Advantages - **First-mover in AI for auto parts**: Building the first foundational AI model purpose-built for the auto parts industry, giving them a data moat. - **Deep industry + tech crossover**: Team includes veterans from Rocket Lab, Microsoft, F1, Apple, and Intel, combined with auto industry expertise. - **Independent and neutral**: Not owned by any automotive body, allowing them to connect the entire fragmented supply chain without bias. - **Strong investor backing**: High-profile, founder-friendly investors and angel backing from iconic tech founders. ## Strategic Focus - **Scaling the AI model**: Continuing to train and improve the foundational AI model for parts identification, estimation, and validation. - **Geographic expansion**: Deepening presence in the US and UK markets (hiring Sales and GTM leaders in both regions). - **Building the network effect**: Growing the number of suppliers and repairers on the platform to increase data liquidity and value for all participants. - **Product development**: Hiring heavily for product and engineering roles to build out the Interpreter and Network platforms. ## Why Work Here - **Culture & Values**: Office-first, remote-second hybrid model. Values include "Buyer Obsession," "No. 8 Wire Mentality" (kiwi ingenuity), "Think 10X," "Bias for Action," "Earn Trust," and "Reason from First Principles." High transparency with weekly CEO updates and all-hands. - **Work Environment**: Long-form writing culture (meetings start with silent reading of a doc). Direct, immediate feedback culture. High bar for hiring β€” "every new hire is held to a higher bar than the last." - **Locations**: Hubs in Christchurch (engineering HQ), Auckland, London (global HQ), and San Francisco. Remote work is possible but the company is "office first, remote second." - **Growth Opportunity**: High-growth startup (50% headcount growth YoY) with massive market opportunity. Direct customer exposure for all roles. Internships available. - **Visa Support**: Accredited Employer Visa available for New Zealand roles. - **Engineering Culture**: Strong engineering pedigree (Rocket Lab, F1, Microsoft, Apple). Emphasis on first principles thinking and solving hard technical problems. ## Sources 1. [partly.com](https://www.partly.com/) 2. [partly.com/about](https://www.partly.com/about) 3. [partly.com/careers](https://www.partly.com/careers/careers-at-partly) 4. [linkedin.com/company/partly](https://www.linkedin.com/company/partly) 5. [cbinsights.com/company/partly](https://www.cbinsights.com/company/partly) ## Other roles at Partly - [Network Supply Manager](https://feeny.ai/job/network-supply-manager-partly-christchurch-n9nt2shmwkm7) β€” Christchurch - [Head of US Expansion & Business Development](https://feeny.ai/job/head-of-us-expansion-business-development-partly-austin-6xaz9hjt0cps) β€” Austin, TX - [Customer Success Manager, NZ](https://feeny.ai/job/customer-success-manager-nz-partly-auckland-7eb6trrwr1rc) β€” Auckland - [Account Manager, Workshop](https://feeny.ai/job/account-manager-workshop-partly-auckland-frwzd816vaqv) β€” Auckland - [Account Manager, Collision](https://feeny.ai/job/account-manager-collision-partly-christchurch-cvj98kda3208) β€” Christchurch - [Enterprise Account Manager, UK](https://feeny.ai/job/enterprise-account-manager-uk-partly-london-9kkzqcd0t0d7) β€” London, United Kingdom - [Senior Product Designer - AI Products](https://feeny.ai/job/senior-product-designer-ai-products-partly-auckland-8s8rk8ytqw48) β€” Auckland - [Solutions Engineer Intern, US](https://feeny.ai/job/solutions-engineer-intern-us-partly-austin-vb250rk1rbkb) β€” Austin, TX - [Founding Enterprise Sales Executive (0-1)](https://feeny.ai/job/founding-enterprise-sales-executive-0-1-partly-austin-6ydkaes2zw1d) β€” Austin, TX - [Solutions Engineer, Expansion UK](https://feeny.ai/job/solutions-engineer-expansion-uk-partly-london-kjvgmafswrw6) β€” London, United Kingdom