AI-Native Product Development

• Use agentic prototyping tools to test interaction patterns, conversation flows, scheduling logic, and multimodal diagnostics before committing engineering capacity, deciding whether a problem calls for straightforward automation, a copilot feature, a fully agentic workflow, or a mixture.
• Define specifications, acceptance criteria, and launch criteria for AI-powered product experiences.
• Build and own evals for these experiences: define what good output looks like, assemble eval sets that check outputs against the required format and quality, and use the results to improve the solution.
• Partner with engineering and AI specialists on LLM orchestration, tool calling, RAG, context management, prompt iteration, model selection, and cost-performance trade-offs.
• Design human-in-the-loop controls for cases where AI confidence, safety risk, or operational complexity requires escalation.
• Establish quality metrics for chatbots and voice agents, including task completion, containment, hand-off success, latency, retrieval precision, and hallucination rate, and account for how voice agents integrate with telephony and contact-centre tooling.
• Define the privacy, consent, auditability, and data-handling requirements for customer-facing AI features, especially where personal or sensitive data is involved.
• Work with Security, Legal, Privacy, and customer stakeholders to agree guardrails for automated decisions, user communications, and autonomous workflows.

Requirements

• Product management experience in B2B SaaS, marketplace, workflow, healthtech, proptech, fintech, or another regulated or operational domain.
• Demonstrable experience building native mobile app products, including ownership of a native iOS or Android app from discovery through release and ongoing iteration.
• Demonstrable experience shipping AI-powered product features from prototype to production, including controlled rollout and post-launch iteration, ideally across conversational AI, voice agents and telephony, workflow automation, decision support, diagnostics, or intelligent self-service.
• Strong working knowledge of multimodal models, LLM capabilities and limitations, prompt engineering, tool calling, embeddings, RAG, and AI observability.
• Fluency with evals: defining what good output looks like, building eval sets to check that outputs meet the required format and quality, and using the results to improve the solution.
• Hands-on fluency with agentic prototyping and AI-assisted product development tools, such as agentic IDEs and prompt-driven prototyping environments, used to produce testable prototypes.
• Working knowledge of low-code automation platforms such as n8n, Tray.io, Workato, or Zapier, enough to prototype workflows, scope feasibility, and direct engineering, without owning production builds yourself.
• Sound understanding of AI risk in production, including hallucination, retrieval failure, automation bias, latency, cost, drift, privacy, and human escalation.
• Excellent written and verbal communication across technical, non-technical, and senior stakeholders.
• High ambition and a strong bias for action, with the drive to deliver a large roadmap at pace and a positive, can-do attitude.

Experience and Qualifications

• 6+ years of product management experience, including ownership of customer-facing product surfaces from discovery through launch and iteration.
• Experience working closely with engineering, design, data, operations, customer success, and senior stakeholders.
• Experience with products that involve scheduling, logistics, case management, customer support, field operations, regulated workflows, or high-volume service journeys.
• Located in London and able to work from our London office on a hybrid basis.
• Right to work in the United Kingdom.

Benefits

We offer:

• A competitive compensation package
• 25 days annual holiday, plus one additional day for every year served, up to a maximum of 5 additional days
• Flexible working environment, including the option to work abroad
• Private healthcare for you and your immediate family, with discounted gym membership and access to optical, dental, and private GP services
• Enhanced parental leave
• Life insurance at 4× salary
• Employee assistance programme
• Company volunteering day and charity salary-sacrifice scheme
• Learning management system powered by Udemy
• Referral bonus and charity donation when someone you introduce joins the company
• Season ticket loan, Cycle to Work, electric vehicle, and Techscheme programmes
• Pension scheme
• Company-sponsored lunches, dinners, and social gatherings
• Fully stocked kitchen with drinks, snacks, fruit, and breakfast cereals