Jack & Jill
Technical Product Manager at LightWork AI
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Job Title
Technical Product Manager
Salary
Not Disclosed
Company Description
LightWork AI is building Felicity, an intelligent AI assistant acting as the operating system for modern property management. Already live with pilot customers and generating strong demand, the company automates operational workloads for letting agents and build-to-rent teams, scaling toward significant revenue milestones in 2026.
Job Description
You will own product quality and AI evaluation for Felicity, defining performance standards and building automated test suites. This role combines technical rigour with product operations, triaging issues from real customer feedback and translating them into engineering priorities. You will work within an AI-augmented team to shape the roadmap and ensure high-trust delivery.
Location
London, UK
Why this role is remarkable
- Join an early-stage company building critical AI infrastructure for the massive global property management industry.
- Ownership of the end-to-end quality bar for a sophisticated AI product where performance is the primary differentiator.
- Work in a lean, high-talent environment using cutting-edge agentic workflows alongside founders to shape company scaling.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What You Will Do
- Build and maintain nightly AI evaluation suites and test scenarios to track product performance and pass rates over time.
- Run daily critical-error reviews and triage issues between configuration, data, user error, and genuine product bugs.
- Synthesize customer feedback and evaluation signals into clear PRDs, success criteria, and prioritized product roadmap decisions.
The ideal candidate
- Possesses 2-4 years of PM experience preceded by 1-2 years as a software developer (backend, full-stack, or AI engineer).
- Demonstrates genuine fluency with AI tools and experience building or tuning agentic workflows and evaluation models.
- Based in London with existing right to work in the UK and a methodical, root-cause approach to problem-solving.
Who are Jack & Jill?
Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
How does this work?
Jack's an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack's network.
If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.
We never post fake jobs
This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.
Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.
We appreciate this can make them look a bit suspect, but there isn't much we can do about it.
Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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