Engineering Manager - AI Agents (Remote)

Benefits

Additional Information

🏷️ Title: Engineering Manager (Remote) 👫 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: Remote (Europe + UK only) 🌍 Office Location: London Bridge, London, UK. Quarterly in-person visits expected and financially covered. 🔍 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 requirements You don't enjoy being hands-on anymore. We believe leaders should operate at all levels You don't know how to be scrappy 🔢 Lottie's Interview Process Screening interview led by Lottie's Talent Acquisition Lead First round interview led by Hiring Manager Technical assessment comprising two parts: a) AI-enabled coding pairing session with two Lottie engineering team members, b) System design interview with two engineering team members Behavioural interview with Hiring Manager Final interview with Will Donnelly (Lottie's Co-Founder & CEO) 🤩 Candidate Experience: The majority of feedback will be given via email and we try our very best to give specific and constructive feedback where possible. Pre-Screen & First Interview: You'll receive an email notification, but no specific feedback will be provided at this stage. Engineering Manager Interview: If you are unsuccessful after this interview, you will

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at lottie? Share your experience