About the company
This profitable, bootstrapped enterprise research and business intelligence company helps organisations move from questions to decisions faster. It combines qualitative and quantitative research, audience panels and human expertise with artificial intelligence to simplify and accelerate the research workflow.
Its mission is to close the understanding gap between what organisations believe about people and what is actually true. The company is developing an AI-powered research platform that automates key research tasks while supporting complex projects with humans in the loop.
Its culture values autonomy, thoughtful decision-making, close customer engagement and a bias towards shipping, learning and continuous improvement. Its engineering approach is AI-native, collaborative and focused on solving meaningful customer problems rather than simply completing tickets.
What the job entails
As a Lead Product Engineer, you will help set the technical direction for an AI-powered research platform. This is a senior individual contributor role with substantial autonomy, customer exposure and responsibility for decisions that will shape the platform’s future.
You will write production code daily while influencing architecture across the frontend, backend and AI systems. Your responsibilities will include designing LLM and agent systems, developing evaluation frameworks, building retrieval capabilities, improving observability and making architectural decisions over a 12–24-month horizon.
You will also establish strong engineering practices, review code in depth, speak directly with customers and mentor colleagues through design discussions and day-to-day collaboration. The technology environment includes Python, FastAPI, LangGraph, Redis, Postgres, Neo4j, React, TypeScript, Kubernetes, GCP and Datadog.
Key requirements / What we look for
Extensive full-stack engineering experience, with strong backend depth and approximately seven or more years’ experience.
Proven experience building and operating complex production systems and LLM-based products.
Strong Python or equivalent programming skills, with confidence across the technology stack.
Experience with evaluation, agent orchestration, retrieval and production observability.
Sound architectural judgement, autonomy and confidence engaging directly with customers.
Experience establishing engineering standards and mentoring others.
Compensation & Benefits
Share options scheme enrolment after probation.
Pension and private healthcare.
25 days’ annual leave.
Cycle to Work scheme.
Laptop and accessories provided.
Hybrid working, with office-based collaboration and free Friday lunch.
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