About the role
🏷️ Title: Engineering Manager 👫 Department: Engineering - reporting to the CPTO 💰 Salary: £95,000 - £125,000 (depending on experience and seniority) 🎁
Benefits & Culture: Lottie’s careers page here , Lottie’s tech careers page here . 🎥 Hear from our CTO here . Meet Eliza here . 📈 Equity: A very generous EMI share offering. 🌴 Holiday: 26 days + bank holidays. 💗 Mission: Elevate later life for everybody and build the care sector of the future. 💻 Office Policy: Hybrid (two days in office). 🌍 Office Location: London Bridge, London, UK. 🔍 The Opportunity: We built the first version of Eliza — our AI Enquiry Handler for care providers — and she's live. In 50 pilot care homes, she's already reduced missed calls from 53% to 0%. The concept is proven. Now we need someone to really build her. We're looking for a hands-on engineering leader to own the Eliza product line from here — taking a live prototype and turning it into a category-defining AI product. You'll own the technical roadmap, build and lead a small team of product engineers, and work at the intersection of product and engineering. You'll report to the CPTO with a dotted line to the GM for product direction. There's a live product and real users, which means real learnings and real pressure to get things right. But this is still very much a founding role — the foundation is there, and almost everything else is still to be built: deeper integrations with Found, live chat, email, observability at scale, and more. You'll be shaping what Eliza becomes. 💻 What does this role involve? Owning the technical roadmap for Eliza and our AI agents product line Coding alongside
the team — this is a hands-on leadership role, not a purely managerial one Building and line managing a team of product engineers; helping them grow and deliver more impact Sharing the product hat with our GM, supported by our CPTO Holding a high bar on both speed and quality — oscillating between the two depending on context Deepening Eliza's integration with Found: real-time availability, CRM data, booking flows 💪 What problems will you be solving? Building Eliza taught us that great AI agents in sensitive, human contexts are harder than they look. Here's what you'll be working on: Scaling a live voice agent that handles real enquiries from families making one of the hardest decisions of their lives — Quality, empathy, and reliability matter enormously Deciding what Eliza won't do — scope discipline is as important as capability. Testing is far more complex than it first seems, and scope creep kills quality Eval frameworks — measuring and continuously improving response quality, accuracy, and emotional tone at scale Managing LLM economics — token costs, latency trade-offs, when to prompt engineer, or model selection. Responsible automation — Eliza always tells callers she's AI, escalates when confidence drops, and prioritises trust over completion rate Expanding beyond voice into live chat and email enquiry handling 👀 We think you’ll be a great fit if… You're a self-starter who thrives with many unknowns — you provide clarity and make things happen You have 7+ years of hands-on software engineering experience, including leading technical decisions and mentoring engineers. You have real experience building with LLMs — prompt engineering, eval frameworks, observability You're extremely product-minded — you focus on impact and decreasing the cost of change, not just shipping features You know when to use duct tape and when to build for scale — comfortable shipping MVPs, then iterating based on real usage Claude Code and AI-assisted workflows are a natural part of how you work — not just something you've heard of You've built something from 0 to 1 and worked in cross-functional teams 💔 This role isn’t for you if… Our mission to elevate later life care doesn't resonate with you You want very clear lanes and don't enjoy working in a fast-paced environment with loosely defined