Senior Product Engineer

About Lendable Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: One of the UK’s most exciting unicorns with a team of over 800 people Among the fastest-growing tech companies in the UK Profitable since 2017 Backed by top investors including Balderton Capital and Goldman Sachs Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot ) So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance . We get money into our customers’ hands in minutes instead of days. We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. Join us if you want to Take ownership: you are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 Work in small teams of exceptional people: Lendies are relentlessly resourceful. We challenge the status quo to solve problems and find smarter solutions Build the best technology in-house : we use new data sources, machine learning and AI to make machines do the heavy lifting Operations is roughly half of Lendable's people. Central Ops Engineering is a small product engineering team that builds the tooling to help keep back office operations lean and efficient, while maintaining good customer outcomes. We're hiring a senior product engineer who can own and deliver large problems in that space. You'll build the internal web apps and automations that agents use every day, and help shape how the team uses AI coding tools. What you'll work on Current problems include: Complaints: we've already made handling much more efficient for officers, and are continuing to push on this. Fraud and Fincrime: putting the signals an investigator needs into one place. Quality assurance: using AI to review far more calls than a QA team can sample, and directing coaching to the agents who need it. How we work We use Claude Code, Codex, Augment and other AI tools every day. They've tripled our productivity, and we want you to help decide where we take that next. You'll hand real work to coding agents and take responsibility for what ships. You'll work directly with ops agents and their managers, and with Product. Data Science and Analytics own the models and prompt engineering, and you'll build the tools that put their work in front of agents. Who you are An experienced product engineer with a strong track record of delivering practical, full-stack solutions on modern technology Comfortable with ambiguity and focused on business outcomes, looking beyond the stated requirements to address the underlying problem Experienced in shaping team ways of working and mentoring other engineers Enthusiastic about AI-assisted development, ideally with a record of using it to improve how your team delivers Our tech stack This is what we use today, to give you a feel for the work. If your tech stack is different, we'd still like to hear from you: we've successfully onboarded engineers from different stacks in the past. Backend: Python and FastAPI Frontend: React, Next.js and Tailwind Infrastructure: AWS, Docker, Kubernetes, Argo and Terraform Data: SQL & Snowflake Patterns: Domain Driven Design, message-driven systems and event sourcing Interview process Intro call with Talent (30 min). Coding exercise in your own time ([2-3 hours max]). It's a small internal-tool problem, and you should use AI tools as you normally would. Technical interview (60 min). You'll walk us through your exercise, then we'll change the requirements and extend it together. Culture and behavioural interview (60 min), with time for your questi