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Technical Product Manager
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Technical Product Manager
Technical Product Manager / AI Product Manager / Product Manager – Early-Stage AI Software Business
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 better experiences 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 scaling plans for 2026.
About the Role
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
- Shape the product’s development as the company scales
This is not a traditional roadmap-only Product Manager role. Instead, the Technical Product Manager / AI Product Manager will:
- Own how product quality is measured and improved, including:
- AI evaluation suites
- Test scenarios and graders
- Customer feedback loops
- Product performance tracking
- Feature delivery
The ideal candidate is an AI-native, technically grounded product person who enjoys:
- Solving messy problems
- Collaborating closely with engineers and customers
- Building product processes from scratch
The role is based in London, with a primarily office-based schedule of 4 days per week.
Compensation & Equity
- £65,000–£80,000 base salary
- Meaningful equity component
- Opportunity to join at an early stage and benefit from future growth
Candidates Must:
- Be based in the UK
- Have full right to work without sponsorship
Responsibilities
- Define and enforce product quality standards, ensuring consistent measurement of performance across key areas.
- Build and maintain AI evaluation suites, including:
- Test scenarios for customer communications, maintenance, compliance, email, and voice
- Track long-term product performance, monitor pass rates, identify regressions, and work with engineering to resolve quality gaps.
- Review real customer interactions (conversations, calls, product interactions) to uncover:
- New scenarios
- Product issues
- Improvement opportunities
- Triage daily product quality and critical-error reviews, separating issues into categories:
- Configuration problems
- Data-related issues
- User behaviour concerns
- Genuine product bugs
- Collaborate with engineering and AI teams to translate evaluation findings into actionable tickets.
- Maintain clarity in product operations across tools like Linear, Notion, and Slack, ensuring visibility of priorities, blockers, and live work.
- Partner with Customer Success to convert feedback, call transcripts, and support themes into well-structured product problems.
- Feed evaluation data, issue trends, and customer insights into roadmap and prioritisation discussions.
- Own features end-to-end, from problem definition and success criteria, through to delivery, validation, and iteration.
- Write clear product documentation, including:
- PRDs
- Feature requirements
- Success measurements
- Launch new product modules (e.g., maintenance, prospects, compliance, arrears) to market.
- Communicate product updates, features, and launches to internal teams and customers.
- Leverage AI tools, LLMs, and agentic workflows to streamline:
- Product operations
- Decision-making
- Execution speed
- Bring pace, rigor, curiosity, and high ownership to a fast-paced early-stage environment.
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Requirements
Essential Skills & Experience
- 3–5 years of product, technical product, or adjacent experience where you:
- Owned outcomes
- Worked closely with engineering
- Strong technical grounding, ideally with:
- Previous software development experience
- Hands-on experience building agentic AI workflows
- Fluency with AI tools, LLMs, and modern AI workflows, with evidence of:
- Regular, real-world use to solve problems
- Strong instinct for product quality, with the ability to:
- Measure performance objectively rather than relying on intuition
- Experience working directly with engineering, including:
- Reasoning about technical trade-offs
- Assessing feasibility and product behavior
- Background in B2B software, SaaS, vertical SaaS, AI software, or workflow automation.
- Methodical approach to diagnosing issues, separating:
- Bugs
- Configuration problems
- Data-related issues
- Comfortability using analytics tools, including:
- Dashboards
- Data querying
- Operational systems to assess product performance
- Exceptional written communication, with ability to:
- Write clear tickets, PRDs, success criteria, and product documentation
- Ability to translate customer feedback and product usage into prioritised engineering/product problems.
- Experience with Customer Success, Sales, Implementation teams, or direct customer interactions.
- Proactive, self-directed, and high-agency mindset, comfortable:
- Working without a fully established playbook
- Thriving in an early-stage, rapidly evolving environment
- Strong communication skills, with ability to:
- Explain technical details to both technical and non-technical stakeholders
- Passion for AI products, quality assurance, evaluation, and automation in real-world environments.
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Desired (Not Essential) Experience
- AI evaluation frameworks (e.g., model testing, prompt engineering, grader systems)
- Product quality ownership (e.g., QA, issue triage, performance monitoring)
- Tools like Linear, Notion, Slack, and dashboards
- Proficiency in SQL or data analysis
- Early-stage startup environments where:
- Processes, systems, and product operations were built from scratch
- Experience in Property Management, Lettings, Estate Agency, Build-to-Rent, or PropTech.
The Opportunity
This is a rare chance for an ambitious Technical Product Manager / AI Product Manager to join:
- An early-stage AI software business building a transformative automation platform for underserved B2B markets.
- A role where you’ll:
- Own product quality end-to-end
- Work directly with Product Lead and founders to shape evaluation methodologies.
- Play a key role in improving reliability, trust, and performance.
Ideal candidates are: ✔ Tech-savvy and AI-literate ✔ Commercially aware, customer-focused ✔ Eager to build a high-growth AI software company from the ground up.
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