Rwazi, Inc.

The Head of Marketing will own the complete marketing function, including architecting the full marketing operating system, overseeing product marketing leadership, and defining the market narrative and category positioning for Rwazi. This role is responsible for driving measurable pipeline contribution and establishing the company as a trusted authority in AI-driven consumer intelligence.

The Director of Operations owns the global execution system, ensuring data capture fulfills predictably, economically, and with decision-grade quality across Retail Mapping and Consumer Insights deployments. This involves architecting the operational machine, governing QA, controlling costs, building contingency frameworks, and scaling the global operations team.

This role is responsible for designing enterprise risk frameworks, implementing internal control systems, and ensuring compliance across financial and operational aspects to reduce market exposure. Key duties include identifying risk vectors, building mitigation protocols, strengthening governance processes, and aligning with data privacy standards.

The FP&A Lead is responsible for owning financial modeling precision, converting operational data into financial forecasts, and strengthening predictive financial intelligence. Core mandates include maintaining rolling forecasts tied to operational KPIs and tracking variance between forecasts and actuals.

This role is responsible for designing scalable pricing frameworks, aligning pricing with cost realities, and increasing margins while maintaining competitiveness. Key tasks include defining product tiering, usage-based models, and establishing discount governance.

The Operations Lead is responsible for the day-to-day execution reliability across active Retail Mapping and Consumer Insights deployments, ensuring predictable movement from launch to fulfillment. This involves commanding execution under live conditions, hitting fulfillment targets, maintaining quality, and managing contributor throughput.

The analyst evaluates system decision outputs for logical integrity and sound reasoning, identifying weaknesses and designing structured feedback loops to improve AI judgment performance. This role is accountable for training and refining AI judgment frameworks and defining measurable standards for overall decision quality.

The Decision Research Scientist is accountable for designing formal decision frameworks, modeling tradeoffs and uncertainty, advancing structured reasoning methodologies, and converting research insights into system-ready primitives. Key responsibilities include formalizing business questions into decision systems, designing evaluation logic for ambiguous signals, and validating reasoning enhancements through controlled experiments.

The Decision Systems Architect is responsible for designing and refining decision frameworks, defining signal mapping logic, and establishing configuration schemas to translate business intent into decision-grade outputs. This involves identifying patterns and formalizing them into reusable system logic that directly informs Product and AI development workflows.

The Research Engineer is responsible for building research prototypes, developing evaluation tooling for decision systems, and implementing experimental system architectures to enable fast iteration between theory and validation. This role also involves maintaining the technical research infrastructure necessary for applied research initiatives.