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CTO – AI & Intelligence Job Shega
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Key Responsibilities
Technical Leadership
- Design and own the technical architecture of the platform, including ingestion, processing, and delivery of structured and unstructured data (APIs, NLP, dashboards, chat, etc.)
- Lead the development of AI and ML infrastructure to power natural language querying, forecasting, and anomaly detection
- Oversee real-time intelligence systems, data cleaning pipelines, and personalization engines
- Ensure robust, scalable, and secure infrastructure for both enterprise and mid-market use
Product Collaboration
- Work closely with the CEO and product team to co-create the platform’s core functionality and roadmap
- Design for usability, extensibility, and low-bandwidth / low-resource environments
- Champion experimentation, iteration, and smart MVP thinking
Team Building & Culture
- Hire and mentor a top-tier engineering and data science team
- Create clear processes for execution, QA, deployment, and learning
- Cultivate a culture of excellence, pragmatism, and long-term thinking
Strategic & External Engagement
- Collaborate with institutional partners and clients on technical integration or bespoke deployments
- Represent Shega in technical partnerships, speaking engagements, and conferences as needed
- Shape Shega’s AI and ethical data governance principles
Who You Are
- You don’t just write code — you think like a builder, strategist, and long-term owner.
- You’ve seen what great looks like and want to build systems that last, especially in
- underserved but high-potential contexts like Africa or similar emerging markets
Must-Have Skills
- 8+ years of experience in software engineering, with 3+ in a technical leadership role
- Experience with AI/ML systems, particularly in NLP, time-series forecasting, or knowledge graph architecture
- Deep experience in building scalable, cloud-based data infrastructure (ETL, analytics engines, APIs)
- Comfortable working in ambiguous, zero-to-one environments
- Strong written and verbal communication skills — you translate complexity clearly
Bonus
- Experience in emerging markets or building for Africa
- Familiarity with business decisions on low-resource language models or
- inclusive tech design
- Prior founder, early-stage startup, or product-technical hybrid experience
- Research publications, patents, open-source contributions, or community
- leadership in the AI/data space
How to Apply
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