Technical Product Manager
Location: London (hybrid) | Full-time | Reports to: Product Lead
We are not able to offer visa sponsorship at this time, so you must already have the right to work in the UK.
About LightWork AI
LightWork AI is building the operating system for modern property management.
Our platform, Felicity, is an intelligent AI assistant that automates the operational workload that slows down property managers, letting agents and build-to-rent teams. Felicity manages communications, compliance workflows, maintenance coordination and scheduling, enabling property businesses to operate with the efficiency of modern digital platforms.
We are already live with pilot customers, with overwhelmingly positive feedback and strong demand as we scale toward revenue in 2026.
The Role
We are looking for a Technical Product Manager to help us build a product that customers trust. In a company built on AI, trust comes from quality, and quality is something we measure. This role owns how we know Felicity is performing: the evaluation suites, the test scenarios, and the product performance we hold ourselves to.
You will own our quality assurance and AI evaluation work end to end, from defining what good looks like for each feature, to building and tuning the scenarios and graders we test against, to tracking how the product performs against them over time. Alongside that, you will run the day-to-day product operations of a fast-moving team: triaging issues, working closely with Customer Success to turn real customer feedback into clear priorities, and owning features through delivery.
We are a small, AI-augmented team. Much of our weekly rhythm runs through lightweight agentic workflows: priorities planning, daily standups, and a daily critical-error review where flagged conversations are triaged and logged. You will be comfortable working this way, and excited by it.
This is a broad role on a lean team. You will feed directly into the roadmap and prioritisation, and as we grow you will have the room and the encouragement to grow with us, deepening into AI evaluation or broadening into wider product ownership, whichever plays to your strengths.
You are an AI-native product person. You use AI tools fluently in your daily work, you have strong instincts for where AI products break, and you are excited to learn the specifics of how we evaluate and improve them. You have high ownership, you are honest about what is and is not working, and you are as comfortable with customers as you are with the engineering team. You are technical enough to reason about how Felicity is built and to translate fluently between what customers need and what the system can do, without needing to be a backend specialist.
Key Responsibilities
Quality Assurance & AI Evaluation
- Own the quality bar for Felicity across product areas: define what good performance looks like for each feature and hold the product to it.
- Build, maintain and tune our nightly evaluation suites and test scenarios across product areas such as Prospects, Maintenance, Compliance, email and voice, including the graders that score them.
- Track pass rates and product performance against evals over time, spot regressions early, and drive the work to close gaps.
- Mine real customer conversations and calls for new scenarios, so our evals stay grounded in how the product is actually used.
- Partner with the engineering and AI team to turn evaluation findings into concrete product improvements.
Issue Triage & Product Operations
- Run the daily critical-error review: triage flagged conversations in the admin dashboard, decide what each one means, and log outcomes so issues are tracked and do not get re-surfaced.
- Separate configuration, data, user error and genuine product bugs, and route work with the context engineering needs to act quickly.
- Keep product operations running smoothly across Linear and Notion, maintaining a clear, current view of what is in flight and what is blocked.
Customer Success & Feedback Loop
- Synthesise customer feedback gathered from call transcripts and our feedback channels into clear, prioritised problems for the team.
- Work closely with Customer Success to turn real customer pain into well-framed product tickets.
- Bring eval and critical-error signal into our weekly Product and Tech priorities meeting to inform what we build next.
- Communicate product updates, new features and module launches clearly to internal teams and customers.
Product Ownership & Roadmap
- Own features through their lifecycle, from problem definition to delivery and validation.
- Write clear PRDs and success criteria. We draft PRDs in Notion, linked to Linear epics where the work is delivered.
- Feed directly into roadmap and prioritisation decisions on a small team where your voice carries weight.
- Help bring new modules such as Maintenance, Prospects, Compliance and Arrears to market.
Requirements
Must Have
- Around 3 to 5 years of experience in a product role, or a closely adjacent role where you owned outcomes and worked with engineering.
- Genuine fluency with AI tools: you use them daily and apply them to solve real problems, not just experiment.
- Comfortable operating in an AI-augmented team that runs much of its workflow through agentic tools.
- Hands-on technical grounding: around a year building software as a developer, or building agentic AI workflows yourself. Enough to reason about technical trade-offs and feasibility with engineers, without needing to be a backend specialist.
- Strong instincts for product quality, and the rigour to measure it rather than rely on gut feel.
- Excellent written and verbal communication, with the ability to explain technical topics clearly to any audience.
- A methodical, root-cause approach to diagnosing issues.
- Comfortable working with data, dashboards and operational tooling to understand how a product is performing.
- Strong with people: good with customers, and a clear, honest, collaborative teammate.
- High ownership and follow-through, honest about what is and is not working, and comfortable in a fast-moving early-stage environment.
Strongly Preferred
- Experience with AI evaluations, model testing, prompt evaluation, or writing and tuning test scenarios and graders for AI systems.
- Experience owning quality assurance or a product quality bar.
- Familiarity with tools such as Linear, Notion and Slack.
- Experience working alongside AI-powered products and setting realistic expectations for their behaviour.
Nice to Have
- Basic SQL or data querying skills, or comfort exploring data directly.
- Experience creating clear product documentation, specs or PRDs.
- Experience in a startup where processes were being built from scratch.
- Exposure to property management, lettings, real estate or PropTech. Not required, as we will teach you the domain.
Why Join LightWork AI
- Join an early-stage company building AI infrastructure for a massive global industry.
- Own the quality of an AI product end to end, at a company where quality is the differentiator.
- Work closely with founders and the core team to shape how the company scales.
- Real room to grow, deeper into AI evaluation or broader into product ownership, as the team and product expand.