Rwazi is the Decision AI company built on zero-party data from 5M+ contributors across 190+ countries. Sena is the decision intelligence platform that decides. Backed by Techstars.
About the role
Sena is designed to translate complex business intent into decision-grade outputs at scale. The Decision Systems Architect plays a critical role in advancing Sena’s decision capabilities by formalizing judgment, reasoning frameworks, and evaluation logic into system-native structures. This role focuses on extending the breadth, depth, and consistency of Sena’s decision logic as new customer use cases, signal types, and business questions emerge.
What they're looking for
- Strong systems thinking and the ability to formalize complex reasoning
- Experience designing frameworks, methodologies, or structured decision logic
- The ability to translate ambiguous problems into clear, explicit structures
- Comfort working in highly autonomous, fast-moving environments
- Intellectual curiosity and a willingness to challenge established methods
- Candidates may come from applied research or technically rigorous domains where deep reasoning, formal abstraction, and the hands-on design of complex decision systems were core to the work
More about this role
Team: Product
Reporting to: Product Leadership
Sena is designed to translate complex business intent into decision-grade outputs at scale.
The Decision Systems Architect plays a critical role in advancing Sena’s decision capabilities by formalizing judgment, reasoning frameworks, and evaluation logic into system-native structures. This role focuses on extending the breadth, depth, and consistency of Sena’s decision logic as new customer use cases, signal types, and business questions emerge.
This is a product-embedded role at the intersection of systems thinking, applied reasoning, and AI enablement.
Designing and refining decision frameworks that guide how Sena interprets customer intent
Defining signal mapping logic that structures how business questions are decomposed into actionable signals
Establishing configuration schemas that specify how data must be captured to support decision-grade outputs
Creating evaluation criteria and quality standards used to assess system outputs
Identifying recurring patterns, edge cases, and failure modes, and formalizing them into reusable system logic
Producing structured artifacts that directly inform Product and AI development...
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