[Hiring] Product & AI Delivery Lead @Storyteller

Role Description

Client-facing products and AI-enabled services don't stop at being built. Someone has to implement them with the client, run them reliably, fix what breaks and keep improving them. That's this role.

You'll be given an outcome – a major sports client's product roadmap, a new client-facing product, an AI-enabled service that has to run every day – and you'll own it end to end:

• Plan, people, delivery, operation, improvement.
• Work across clients, Product, Engineering, Design and Support.
• Direct a small number of more junior team members.

You're not writing the core product code. You are expected to understand the product and its environment well enough to investigate problems yourself, make sound delivery decisions and explain trade-offs to a client without hiding behind internal complexity.

This is a hands-on role. You'll personally drive the important work, not just track it.

What You'll Do

• Take products and initiatives from an ambiguous brief through configuration, onboarding, testing, rollout and adoption to reliable day-to-day operation.
• Turn messy requests into a plan with owners, dependencies, risks and a definition of done — then run it: brief people, follow up, remove blockers, make the calls.
• Own AI-enabled services after launch. Know the prompts, inputs, outputs, dependencies and human review steps, and build the checks that catch weak output and drift before the client does.
• Investigate before you escalate. Reproduce the issue, check configuration and expected behaviour, assess impact, and hand Engineering a well-framed problem rather than a forwarded email.
• Keep clients confident – clear on progress, honest about uncertainty and constraints — and turn what you learn in delivery into requirements Product and Engineering can act on.
• Lead more junior team members: give them context, standards and direct feedback, and expand their ownership as they earn it.
• Use AI tools throughout (investigation, analysis, documentation, QA, reporting) while staying responsible for validating the result, and leave behind playbooks, checklists and automation so each cycle is stronger than the last.

Qualifications

• 4+ years in implementation, product operations, technical account management, client delivery or similar.
• Good decisions with incomplete information.
• Technical enough to reason about APIs, SDKs, integrations, configuration and data without being an engineer.
• Practical AI fluency.
• You can direct people and hold a standard.
• You don't wait for a perfect brief or a meeting invite to make progress.
• Detail at pace.

Requirements

• Operated an AI workflow, automation or platform after launch (quality, monitoring, cost, support).
• Implemented SaaS or developer-facing products: APIs, SDKs, CMS, UAT, analytics.
• Sport, media, live events or ad-tech background.
• Remote startup or scale-up experience where the process didn't exist yet.

Benefits

• 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.

Recruitment Process

• Short call focused on your experience, operating judgment and use of AI.
• Practical (paid) take-home exercise based on a realistic product-delivery and AI-operations problem.
• Interview with a team member to discuss your examples, decisions and task approach.

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