🇹🇳 Up to EUR 25,000 salary on a full time, permanent employment contract
🌎 Fully remote working anywhere in Tunisia!
🏖️ 33 Days Paid Leave and Benefits
✨ Exciting high growth product, relied on by leading global brands, particularly within sports
💻 Working with the latest hardware, AI tools, and product workflows.
The working hours are flexible however primarily aligning with UK working hours across weekdays.
ABOUT US
Storyteller is a high growth B2B SaaS platform which allows companies to integrate Stories into their owned and operated platforms. Popularized by Instagram and Snapchat, Stories are perfectly suited for boosting user engagement, audience retention, and driving advertising revenue. For customers, building their own stories experience can take years and a lot of investment however Storyteller has solved this by allowing companies to integrate in days, not years all for one monthly cost.
Our end‑to‑end platform gives companies a best‑in‑class Stories experience in days with native iOS, Android, and Web SDKs, publishing tools, analytics, and ad support.
We work with many globally recognised clients, particularly within sport, so if you're a sporting fan this could be a great fit!
What You'll Make Happen
In AI Product Operations, you will join a supportive, inventive team that values clarity, ownership, and getting things done. You will collaborate with globally recognised sports organisations and play a hands-on role in shaping how they use and evolve our product suite.
This role sits at the intersection of AI, automation, product ownership, and operational execution. There is no central project manager handing you a perfect brief. You will be expected to spot problems, decide what is worth fixing, and help build the solution.
You do not need years of product management experience. You do need curiosity, good judgment, and the willingness to get into the weeds of tools, data, workflows, client problems, and product behaviour.
What You'll Do
- Own AI-driven workflows and product improvements within specific parts of the product suite.
- Identify friction in how clients and internal teams use the product, then decide what is worth fixing first.
- Build and iterate on AI-powered automations, tools, checks, and workflows that make delivery faster or better.
- Translate real client and usage problems into shipped product improvements, not just notes, decks, or tickets.
- Use AI and internal tools to investigate product behaviour, inspect structured data, debug issues, and test ideas.
- Work directly with engineers and product teammates to get useful changes shipped.
- Engage with clients when needed to understand the real problem and validate whether a solution worked.
- Document what you build and learn so other people can reuse it, improve it, and trust it.
What Success Looks Like
- You create repeatable tools or workflows that other people actually use.
- You can be trusted with an ambiguous product or operational problem and return with a working first version, useful evidence, and a clear recommendation.
- You use AI to increase leverage while still applying your own judgment and validation.
- You raise the quality of how the team investigates, documents, automates, and ships improvements.
What We're Looking For
- Evidence that you have built, automated, improved, or run something real, even if it was scrappy.
- High agency: you notice what is weak, unclear, or missing, form a view, and move things forward without waiting for everything to be pre-packaged.
- Genuine AI fluency beyond surface-level use. You have used AI to investigate, build, automate, classify, transform, or meaningfully change a workflow.
- Enough product judgment to decide what matters, balance user needs with technical constraints, and avoid overbuilding.
- Outcome ownership: you care whether the thing worked in reality, not just whether your part was completed.
- Technical mindedness: you want to understand tools, data, permissions, dependencies, and failure modes rather than staying at surface level.
- Comfort owning a problem end-to-end: spotting the issue, framing it, prototyping a solution, validating it, and working with others to ship it.
- Clear written communication so your work is inspectable, reusable, and easy for others to pick up.
- Standards: you can tell when something is thin, fragile, under-thought, or not good enough.
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.
- Experience working with clients or client-facing teams.
- Side projects, experiments, prototypes, or examples that show how you learn and build independently.
RECRUITMENT PROCESS
- Initial short conversation so we can explain the role and answer your questions.
- Practical take-home task. We allow and expect sensible use of AI, and we are interested in how you think, build, validate, and communicate.
- Final interview with the team to discuss your task, your judgment calls, and how you would approach the work.
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