Delivery Lead

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Delivery Lead - AI-Enabled Products based in South Africa.

• Take products and initiatives from ambiguous initial briefs through configuration, onboarding, testing, rollout, adoption, and reliable ongoing operation.
• Translate complex or unclear requests into actionable delivery plans with clear owners, dependencies, risks, milestones, and definitions of done.
• Drive execution directly by briefing stakeholders, following up on actions, removing blockers, managing priorities, and making timely delivery decisions.
• Own AI-enabled services after launch, developing a strong understanding of prompts, inputs, outputs, dependencies, failure modes, and human review processes.
• Establish and maintain quality checks that identify weak AI outputs, operational issues, and performance drift before they affect clients.
• Investigate problems independently by reproducing issues, reviewing configurations and expected behavior, assessing impact, and determining appropriate next steps before escalating.
• Provide Engineering with clearly framed technical problems, relevant evidence, context, and expected outcomes rather than simply forwarding client issues.
• Maintain strong client relationships through transparent communication around progress, risks, uncertainty, constraints, and delivery expectations.
• Convert lessons learned during implementation and operations into actionable requirements for Product and Engineering teams.
• Lead and develop junior team members by providing context, clear standards, direct feedback, and progressively greater ownership.
• Use AI tools for investigation, analysis, documentation, quality assurance, reporting, and other delivery activities while remaining accountable for validating their outputs.
• Create reusable playbooks, checklists, automation, and operating processes that improve quality and efficiency over time.
• Balance client impact, quality, cost, speed, and operational reliability when making delivery decisions.
• Contribute to a culture of ownership, direct communication, continuous improvement, and high-quality execution.

• 4+ years of experience in implementation, product operations, technical account management, client delivery, or a comparable function where you have personally taken initiatives from ambiguity to measurable outcomes.
• Demonstrated ability to own delivery rather than simply coordinate the work of others or track activities in project-management tools.
• Strong judgment and decision-making skills when requirements, information, or priorities are incomplete or evolving.
• Ability to identify and evaluate relevant evidence, balance client impact against quality, cost, and speed, and adjust decisions when new information becomes available.
• Technical understanding sufficient to reason confidently about APIs, SDKs, integrations, configuration, data, and product environments without needing to be a software engineer.
• Practical understanding of AI-enabled workflows in production, including prompts, inputs, outputs, failure modes, dependencies, monitoring, and human review.
• Ability to lead people, establish clear standards, provide constructive feedback, and distinguish meaningful results from simple activity.
• Strong organizational and prioritization skills, with the ability to identify missing ownership, weak evidence, dependencies, and work that is not yet ready.
• Comfortable operating proactively without waiting for perfect briefs, instructions, or meeting invitations.
• Strong client-facing communication skills and the ability to explain technical or operational trade-offs clearly without hiding behind technical complexity.
• High attention to detail while maintaining pace in a fast-moving environment.
• Experience operating an AI workflow, automation, or platform after launch, including quality, monitoring, cost, or support, is advantageous.
• Experience implementing SaaS or developer-facing products such as APIs, SDKs, CMS platforms, UAT processes, or analytics solutions is beneficial.
• Background in sports, media, live events, advertising technology, or related industries is a plus.
• Previous experience working in a remote startup or scale-up environment where processes and operating models were still being established is advantageous.

• Up to ZAR 1,000,000 per year on a full-time employment contract.
• Fully remote working from anywhere in South Africa.
• 33 days of paid leave.
• Comprehensive benefits package.
• Opportunity to work on a high-growth B2B SaaS product used by leading global brands, particularly in the sports industry.
• Exposure to AI-enabled products, modern technology, and the