Technical Product Manager

• 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 and agentic workflows to improve product operations, product thinking and execution speed
• Bring pace, rigour, curiosity and high ownership to a fast-moving early-stage startup environment

Candidate Profile

Candidates for the Technical Product Manager / AI Product Manager / Product Manager role must have:

• Around 3 to 5 years of experience in a product role, technical product role or closely adjacent role where they owned outcomes and worked closely with engineering
• 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 working closely with engineering teams and the ability to reason clearly about technical trade-offs, feasibility and product behaviour
• 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
• Strong written communication skills, with the ability to write clear tickets, PRDs, success criteria and product documentation
• The ability to translate customer feedback and real product usage into clear, prioritised problems for engineering and product teams
• Experience working closely with customer success, sales, implementation teams or customers directly
• A proactive, self-directed and high-agency approach, with the ability to operate without a finished playbook
• Comfort working in an early-stage startup where priorities can move quickly and processes are still being built
• Strong communication skills, with the ability to explain technical topics clearly to both technical and non-technical audiences
• 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

Beneficial Experience

Experience with any of the following would be highly beneficial:

• AI evaluations, model testing, prompt evaluation, test scenarios, graders or quality frameworks for AI products
• Product quality, QA ownership, issue triage or production performance monitoring
• Tools such as Linear, Notion, Slack, dashboards or data-querying tools
• Basic SQL, data exploration or hands-on analysis of product performance data
• Early-stage startup environments where processes, systems and product operations were being built from scratch
• Property management, lettings, estate agency, real estate, build-to-rent or PropTech environments

The Opportunity

• This is a rare opportunity for an ambitious Technical Product Manager / AI Product Manager / 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.