AI Product Builder - Client Delivery
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Description du poste
About the role
We are looking for an AI Product Builder to own the rollout and ongoing operation of a major sports client’s product, including AI‑enabled services. You will configure, automate, troubleshoot, and continuously improve the solution after launch.
Key responsibilities
- Take client products and integrations from brief to live, handling configuration, onboarding, testing and rollout, then own them post‑launch.
- Build and run AI‑powered automations, tools and workflows that accelerate delivery and enhance the product.
- Ensure AI services remain reliable after launch by monitoring inputs/outputs, checking results and catching issues early.
- Reproduce issues by inspecting configuration, data and expected behaviour, then hand clear problem statements to engineering.
- Prioritise fixes in your product area and collaborate directly with engineers to ship improvements.
- Maintain transparent communication with the client about progress, constraints and learnings.
- Mentor one or two junior teammates and create tools/automation that simplify future cycles.
Required profile
- Built a real‑world AI automation, agentic pipeline step or tool (not just a chatbot).
- Delivered a client‑facing product or integration from brief to live and kept it running after launch.
- Started in a technical role (support, integrations, QA, development) and progressed to owning client or product outcomes.
- Comfortable working with APIs, SDKs, configuration and data without being a full‑stack engineer.
- Thrived in environments without established processes – startups, scale‑ups, fast‑moving agencies or self‑started projects.
- Makes sound decisions with incomplete information and takes initiative.
- Communicates clearly and directly with both clients and technical teams.
Required skills
- APIs
- SDKs
- AI automation
What we offer
- Up to EUR 35,000 per year on a full‑time contractor basis.
- Fully remote work from anywhere in Tunisia.
- Modern tech stack, great tooling and an AI‑first engineering culture.
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