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. We work in TypeScript — experience across the stack matters
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 receive constructive feedback via email.
Technical Rounds: If you are not successful after these, you’ll receive constructive feedback via email and be offered a debrief call with our Talent Lead.
Final Interview: For final-stage candidates who are not offered the role, we will provide your feedback live via a phone call.
Meet Lottie
Founded in London in 2021, Lottie is changing how the UK finds, manages, and pays for care. The care sector still runs largely on pen, paper, and phone calls. Families spend days making one of the hardest decisions of their lives with almost no good information. Care providers drown in admin instead of caring for residents. We’re fixing this.
Over 10 million people have used our platform. 1,000+ care homes run on our software. We’ve raised over £25m from Accel, General Catalyst and Kindred, and been named LinkedIn’s Top Startup 2024 and the UK’s #1 Startup for 2025 by Startup.co.uk.
As of today, Lottie offers four core products:
Lottie (B2B2C Marketplace) – Free service that helps families find the UK’s best care homes and home care services. Think Rightmove for care.
Found by Lottie (B2B Vertical SaaS) – AI-native CRM software supporting care providers to effectively manage their enquiries, occupancy and finances.
Seniorcare by Lottie (B2B Vertical SaaS) – Employee benefit helping companies deliver outstanding eldercare support to their employees.
Eliza by Lottie (B2B Vertical SaaS) AI agents that handle care home enquiries – so no family goes unanswered. Launch video here.
Why Lottie?
Career Opportunity – A rare chance to own a live AI product end-to-end and define what it becomes
Early Hire Benefits – Be an early hire at one of the UK’s fastest growing startups and benefit from fast career progression, as well as a generous stock options package.
Mission – Tech for good that aims to build the care industry of the future and to positively impact millions of people’s lives. Care is one of the final remaining large industries that is yet to be disrupted and positively revolutionised by technology.
Investors – Series A backed startup having raised £25m+ from tier 1 venture capital investors including Accel and General Catalyst.
Global Opportunity & Scalability – Be part of a company that is solving a real tangible problem that every family around the world faces at some point in their life.
People – Join a kind, talented and mission driven team that loves coming to work every day.
Culture – Excellent employee compensation/benefits, hybrid office policy and outstanding company culture with a 5/5 employee review score on Glassdoor.
Award Winning – Acclaimed winner of LinkedIn’s 2024 “Top Startups” and named “the UK’s number one startup for 2025” in Startup.co.uk 100 Index.
We want to create an inclusive environment that celebrates the diversity of our people whilst enabling them to do the best work of their careers. We are committed to ensuring that all our people processes are equitable. All applicants will be considered for employment without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity status or disability status.
If you require reasonable accommodations during the application or interview process, please let us know at [email protected]
Compensation Range: £95K – £125K
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