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
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
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
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
Requirements
8+ years of experience in software engineering
3+ years in a technical leadership role
Experience with AI/ML systems, particularly NLP, time-series forecasting, or knowledge graph architecture
Deep experience in building scalable, cloud-based data infrastructure (ETL, analytics engines, APIs)
Experience with real-time intelligence systems, data cleaning pipelines, and personalization engines
Comfortable working in ambiguous, zero-to-one environments
Strong written and verbal communication skills
Benefits
A unique opportunity to define the data infrastructure of an entire continent
High ownership, zero bureaucracy, and direct access to mission-critical decision-making
Competitive salary and founder-level equity
Backed by serious partners but moving with startup speed
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.