Full Stack Product Engineer (Senior)

Job description

Job Description Job title : Full Stack Product Engineer (Senior) Reporting to : Engineering Manager Working hours : 40 hours per week (Monday- Friday) 08:00 - 17:00 / 09:00 - 18:00 Compensation : £65,000 - £75,000 depending on experience Location : Hybrid (remote-first with an expectation of up to two days per week at our Canary Wharf co-working space). Candidates must be based within a one-hour commute and have the right to work in the UK. We are unable to offer or take over visa sponsorship for this role. About Litta Litta is an innovative and dynamic fast-growing VC-funded Waste-Tech Business that is digitally disrupting the UK’s Bulky Waste Collection Sector. Our Mission is to become the UK’s leading Bulky Waste Removal Service, using technology to ethically and sustainably collect our customers' waste using approved local waste collection partners. We are Mac native, use Google Workspace products and use Linear as our ticketing system of choice. Overview Litta is building operational infrastructure for waste collection at scale. This is not a conventional feature-delivery role. A large part of the work is improving the systems behind operations. The focus is on systems that reduce operational overhead, improve reliability, and make the business easier to run as volume grows. We are hiring a Senior Full Stack `Product` Engineer who is comfortable operating across product, engineering, internal tooling, and automation. You will be expected to ship end-to-end features, integrate external systems, and use AI-assisted tooling to accelerate delivery and reduce manual work. About You We are a small, fast-moving team. Processes are lightweight and not everything will be fully defined or documented. We operate very much with a startup mindset, so you should expect a degree of chaos in the day-to-day. There is a large volume of work, short deadlines, and high expectations. You need to be comfortable operating in that sort of environment. For the right person, that will feel exciting rather than intimidating. You are product-minded and able to make sensible decisions without heavy oversight. There is no dedicated design function and few layers of management, so you will be expected to translate rough ideas into working solutions. You take ownership, get up to speed quickly across multiple codebases, and are willing to work across whatever is needed to move things forward. What You’ll Do Build and maintain frontend applications using Vue, React, and TypeScript. Develop and deploy backend services using Node.js, Firebase, and Google Cloud. Design and evolve APIs, data models, and system boundaries. Integrate third-party systems such as Stripe, HubSpot, Airtable, and Slack. Build and maintain workflow automations using n8n and custom scripts. Work with webhooks, queues, and asynchronous workflows as core primitives. Replace manual operational processes with reliable, observable systems. Own features end-to-end, from schema and integrations through to UI and deployment. AI-Augmented Engineering We use LLMs and modern AI tooling to accelerate development, automate workflows, and enhance product capabilities. We identify areas where AI meaningfully reduces cost or improves user experience and implement solutions. AI is expected to be used deliberately and appropriately. You should understand the code you write, apply sound engineering practices, and not rely on AI as a substitute for technical judgement. All code, including generated output, is subject to full code review, and we are actively working towards increasing automated test coverage across the codebase. You will have access to shared team AI tooling, including a Claude Team subscription, and are expected to incorporate these tools effectively into your workflow. Engineering Quality and Delivery This is not a ticket-driven role. You are expected to take ownership of problems end-to-end rather than just implementing predefined tasks. Write maintainable, production-grade TypeScript across the stack. Ship continuously via CI/CD using tools such as GitHub Actions. Monitor, debug, and improve system performance and reliability. Requirements 7 or more years building production web applications Strong TypeScript/JavaScript across frontend and backend Experience with Vue or similar frameworks, Node.js, and cloud or serverless systems Experience integrating third-party APIs and working with webhooks Comfortable owning systems end-to-end Familiar with modern AI tooling in a development workflow Desirable Experience with Firebase or Google Cloud Experience with workflow automation tools such as n8n Experience shipping mobile apps using React Native (Expo) or similar Background in startups or high-velocity teams Strong product intuition and a bias for simplification Diversity and Inclusion We know that some candidates, particularly women and people from underrepresented backgrounds, are less likely to apply unless they meet every requirement listed. If this role excites you but your experience doesn't align with every point, we'd still encourage you to apply. We're looking for thoughtful, product-minded engineers with strong fundamentals, curiosity, and ownership. Skills can be learnt, but mindset and judgement are harder to teach. Litta is committed to building an inclusive workplace where people are judged on their skills, experience, and potential. We welcome applications from candidates of all backgrounds and are committed to providing a fair and equitable hiring process. Hiring Process Step 1: Intro Call (45 mins) High-level discussion on experience, expectations, and context Step 2: Take-home exercise (2 to 3 hours) A realistic problem aligned with our stack to evaluate how you structure and ship work Step 3: Second stage call & more technical questions (60 mins) Delve a bit deeper into who you are, generally go in to more detail plus any high level technical questions and discuss any systems you have built, focusing on decisions, trade-offs, and ownership. You might be asked how you approach real-world problems such as structuring applications, modelling data, designing APIs, and handling failure modes and edge cases, rather than focusing on recalling syntax or writing code from memory. Step 4: Offer Assuming the earlier stages go well. We’ll reach out over email to discuss alignment, answer any remaining questions, and progress offer discussions.