Technical Product Manager

• Must have a background in development
  , or something similarly highly technical, before moving into Product Management.
• Our client has requested that the candidate must have a strong academic profile
  , from a top UK, European, or global University. This must also be alongside strong grades, and ideally in a STEM / technical subject.
• Full right to work in the UK without sponsorship
  , and availability for 4x a week in London office.

Working for an early-stage AI software business, the Technical Product Manager / AI Product Manager / 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 / AI Product Manager / 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 / AI Product Manager / 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 package on offer is £65,000-£80,000 base salary, plus a meaningful equity component, with the opportunity to join at an early stage and benefit from the company’s future growth.

Candidates must be based in the UK
, and have full right to work without sponsorship
.

• 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
• Review real customer conversations, calls and product interactions to identify new scenarios, product issues and improvement opportunities
• 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
• Maintain clear product operations across tools such as Linear, Notion and Slack, ensuring priorities, blockers and live work are visible to the wider team
• Partner with Customer Success to turn customer feedback, call transcripts and support themes into well-framed product problems
• Feed evaluation data, issue trends and customer insight into roadmap and prioritisation discussions
• Own features through the product lifecycle, from problem definition and success criteria through to delivery, validation and iteration
• Write clear product documentation, PRDs, feature requirements and success measures for engineering and internal stakeholders
• Help bring new product modules and workflows to market, including areas such as maintenance, prospects, compliance and arrears
• Communicate product updates, new features and launches clearly to internal teams and customers
• Use AI tools, LLMs…