Implementation Lead; AI

Up to ZAR 1,000,000 per year, on a full time, employment contract

Fully remote working anywhere in South Africa!

33 Days Paid Leave and Benefits

Exciting high growth product, relied on by leading global brands, particularly within sports

Working with the latest hardware, tech stack and tools

Storyteller is a high-growth B2B SaaS company that helps leading sports, media and entertainment brands create and deliver engaging content experiences across their owned digital products. Our platform includes native iOS, Android and Web SDKs, publishing tools, analytics and advertising support.

We are remote-first, product-led and highly focused on execution. We value ownership, direct communication, sound judgment and people who improve the way work gets done rather than accepting recurring friction.

We need a builder who can run a client.

You'll own a major sports client's product rollout and the AI-enabled services that run alongside it. You'll configure it, build the automations around it, investigate what breaks, and keep it running and improving after launch. There's no project-manager layer and no handoff once it's live. It's yours.

You won't write the core product code, but you'll know the product, its APIs, SDKs and configuration well enough to find problems yourself and give the client straight answers on trade-offs.

• Take client products and integrations from a messy brief to live (configuration, onboarding, testing, rollout) and keep owning them afterwards.
• Build and run AI-powered automations, tools and workflows that speed up delivery and make the product better for clients.
• Keep AI services reliable after launch: know what goes in and what comes out, check the output, and catch problems before the client does.
• Reproduce issues yourself by checking config, data and expected behaviour, then hand Engineering a clear problem, not a forwarded email.
• Decide what's worth fixing in your product area and work directly with engineers to ship it.
• Keep the client clear on progress and honest about constraints, and turn what you learn into changes Product and Engineering act on.
• Direct one or two more junior teammates, and leave behind tools and automation that make the next cycle easier.

• You've built something with AI that's in real use: an automation, an agentic step in a pipeline, or a tool people rely on. Not chatbot use.
• You've taken a client-facing product or integration from brief to live, and kept running it after launch.
• You started somewhere technical (support, integrations, QA, development or similar) and grew into owning client or product outcomes.
• You're comfortable with APIs, SDKs, configuration and data, without needing to be an engineer.
• You've worked somewhere the process didn't exist yet: a startup, a scale-up, a fast-moving agency, or something you started yourself.
• You make good calls with incomplete information and don't wait to be told before making progress.
• You communicate clearly and directly with both clients and technical teams.

• A background in sport, media, live events or ad-tech.
• Experience with SaaS or developer-facing products: SDKs, CMS, analytics.

Your recent work is mainly running ceremonies, RAID logs, steering packs or account relationships, or you'd rather manage the people doing the work than do it yourself.

• Short call focused on your experience and use of AI.
• Paid take-home task based on a real delivery and AI-operations problem. Use AI as much as you like; we'll ask what you accepted, changed, checked and rejected.
• Final interview with a member of the team.