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Product & AI Delivery Lead

About the role

• Take products and initiatives from ambiguous brief through configuration, onboarding, testing, rollout and adoption to reliable day-to-day operation
• Turn messy requests into plans with owners, dependencies, risks and definitions of done
• Brief people, follow up, remove blockers and make delivery decisions
• Own AI-enabled services after launch, including prompts, inputs, outputs, dependencies and human review steps
• Build checks to detect weak AI output and drift before clients do
• Investigate issues by reproducing problems, checking configuration and expected behaviour, and assessing impact
• Hand Engineering well-framed problems rather than forwarded emails
• Keep clients informed about progress, uncertainty and constraints
• Convert delivery learnings into actionable Product and Engineering requirements
• Lead junior team members through context, standards, feedback and increased ownership
• Use AI tools for investigation, analysis, documentation, QA and reporting while validating results
• Create playbooks, checklists and automation to improve future delivery cycles

• 4+ years in implementation, product operations, technical account management, client delivery or similar
• Personally taken work from ambiguity to a real outcome
• Ability to make good decisions with incomplete information
• Ability to reason about APIs, SDKs, integrations, configuration and data without being an engineer
• Practical AI fluency, including prompts, inputs, failure modes and human review in production
• Ability to direct people and hold a standard
• Detail orientation at pace
• AI workflow, automation or platform operations experience is useful but not required
• SaaS or developer-facing product implementation experience is useful but not required
• Sport, media, live events or ad-tech background is useful but not required
• Remote startup or scale-up experience is useful but not required

• Up to ZAR 1,000,000 per year
• Fully remote working anywhere in South Africa
• 33 Days Paid Leave
• Benefits
• Paid practical take-home exercise
• Working with the latest hardware, tech stack and tools