Product Engineer, UK

Note: Partly has offices in London (UK), Christchurch & Auckland (NZ) and Austin (Texas),. 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. This position is to be based in our London, UK office

🚀 Our story

Partly is connecting the worlds parts, and we're doing that by building the AI infrastructure layer for the global repair industry. Our foundation model, Interpreter, is the world's first AI purpose-built to understand vehicle damage and the parts needed to fix it. Thousands of businesses across the global repair supply chain already rely on it.

Founded by ex-Rocket Lab engineers, we've grown from 40 to 160 people in 18 months and just closed a $50m Series B led by DST Global (Anthropic, Airbnb, Meta, TikTok, Spotify) and including Blackbird Ventures (Canva, CultureAmp etc.), WNDR, Activant Capital, Icehouse Ventures, Square Peg, Airtree, and Ecliptic Venture Capital. We're headquartered in Austin, with offices in New Zealand and London, and we're taking on the $2tn global automotive repair market.

We're continuing to build a world-class team and ensuring Partly is a place where people can do the best work of their lives. We're proud of the culture we've built at Partly, and our values are lived throughout every experience.

Want to learn more about the problems we're solving and the culture we're building at Partly? Hear directly from our team here: https://shorturl.at/iAFUX

🖍️ 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 centre 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 digitised, 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 relation

ships 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.

💻 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.

🥷 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/experience listed above but believe you could be outstanding in this role, please still consider applying. Many folks often count themselves out. Please allow us to learn more about you and why you're exceptional.

Our Benefits

• Healthy, Catered Lunches - Enjoy fresh, healthy lunches every workday in our Auckland, Christchurch, London and San Francisco offices. With no meal prep needed, you can eat, connect, and refuel with your team. (And yes, snacks and drinks are always on hand.)
• Healthy Body, Healthy Mind - We care about performing at our peak. Every team member gets a $1,500 annual wellness allowance (or local equivalent) on a Partly-branded card. Use it on things such gym memberships, rock climbing, physio, massage, GP visits, prescriptions; anything that you or your family, need!
• Family Comes First - 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).