Technical Product Manager - Hybrid in London

Working for an early-stage AI software business, the Technical Product Manager will help build and improve an AI product that automates operational workflows for a traditional B2B market. The business is developing AI-enabled software that helps organisations automate high-volume operational workflows, improve responsiveness, reduce manual administration and deliver a better experience for customers and internal teams. The company is at an early commercial stage, with a strong founding team, live pilot customers, positive market feedback and ambitious plans to scale revenue in 2026.

This is a hands-on product role within a lean, fast-moving AI startup environment. The Technical Product Manager will work closely with the Product Lead, engineering, AI, customer success and founders to improve product quality, strengthen customer trust and help shape how the product develops as the company scales. This is not a traditional roadmap-only Product Manager role. The Technical Product Manager will own how product quality is measured and improved, including AI evaluation suites, test scenarios, graders, issue triage, customer feedback loops, product performance tracking and feature delivery.

The role would suit an AI-native, technically grounded product person who enjoys solving messy problems, working closely with engineers and customers, and building product processes from scratch in an early-stage environment. This role is based in London on a primarily office-based basis, with 4 days a week in the office.

The Technical Product Manager will:

• Own the quality bar for the product across key areas, defining what good performance looks like and ensuring this is measured consistently.
• Build, maintain and improve AI evaluation suites, test scenarios and graders across areas such as customer communications, maintenance, compliance, email and voice.
• Track product performance over time, monitor pass rates, identify regressions and work with engineering to close quality gaps.
• Run daily product quality and critical-error reviews, triaging flagged conversations and deciding whether issues relate to configuration, data, user behaviour or genuine product bugs.
• Work closely with engineering and AI teams to turn evaluation findings, customer feedback and product issues into clear, actionable tickets.
• Feed evaluation data, issue trends and customer insight into roadmap and prioritisation discussions.
• Help bring new product modules and workflows to market, including areas such as maintenance, prospects, compliance and arrears.
• Use AI tools, LLMs and agentic workflows to improve product operations, product thinking and execution speed.

Candidates for the Technical Product Manager role must have:

• A strong technical grounding, ideally including previous software development experience or hands-on experience building agentic AI workflows.
• Genuine fluency with AI tools, LLMs and modern AI workflows, with evidence of using them regularly to solve real problems.
• Strong instincts for product quality, with the rigour to measure performance rather than rely on gut feel.
• Experience in B2B software, SaaS, vertical SaaS, AI software, workflow automation or another complex software environment.
• A methodical, root-cause approach to diagnosing product issues and separating bugs from configuration, data or user issues.
• Comfort working with dashboards, data, product tooling and operational systems to understand how a product is performing.
• Experience working closely with customer success, sales, implementation teams or customers directly.
• A genuine interest in AI products, product quality, evaluation, automation and how AI systems behave in real customer environments.
• A strong academic background, ideally from a leading university or equivalent.

This is a rare opportunity for an ambitious Technical Product Manager to join an early-stage AI software business building automation technology for a large, traditional and underserved B2B market. The role offers the chance to own product quality end to end, work closely with the Product Lead and founders, shape how AI product evaluation is done and have a direct impact on the reliability, trust and performance of the product. It would suit someone who is technically strong, AI-native, commercially aware, comfortable with customers and excited by the opportunity to help build a high-growth AI software business from an early stage.