AI Product Builder

About the role

Storyteller is a high-growth B2B SaaS platform that lets companies integrate Stories into their own platforms, with native iOS, Android and Web SDKs, publishing tools, analytics and ad support. It works with many global clients, particularly in sport. As an AI Product Builder, you will join a team in AI Product Operations and shape how sports organisations use and evolve the product suite. The role sits at the intersection of AI, automation, product ownership and operational execution, with flexible hours mainly aligned to UK weekday hours.

Key responsibilities

• Own AI-driven workflows and product improvements in specific parts of the product suite.
• Identify friction in how clients and internal teams use the product and decide what to fix first.
• Build and iterate on AI-powered automations, tools, checks and workflows that speed up or improve delivery.
• Turn client and usage problems into shipped product improvements.
• Use AI and internal tools to investigate product behaviour, inspect data, debug issues and test ideas.
• Work with engineers and product teammates to get changes shipped, and engage with clients when needed.
• Document what you build and learn so others can reuse and trust it.

Required profile

• Evidence of having built, automated, improved or run something real, even if scrappy.
• Genuine AI fluency beyond surface-level use.
• Product judgment to balance user needs with technical constraints and avoid overbuilding.
• Outcome ownership and comfort owning a problem end-to-end.
• Technical mindedness about tools, data, permissions, dependencies and failure modes.
• Clear written communication and standards awareness.

Nice to haves

• Experience in SaaS, product operations, technical operations, automation or a similar environment.
• Familiarity with content platforms, CMS tools, sports-tech products or media workflows.
• Client-facing experience.
• Side projects, experiments or prototypes showing independent learning and building.

The process starts with a short conversation, followed by a practical take-home task and a final team interview.