---
title: 'Decision Intelligence Analyst at Rwazi, Inc.'
canonical: 'https://feeny.ai/job/decision-intelligence-analyst-rwazi-inc-global-6e683mp106zp'
type: 'job'
last_seen: '2026-09-08'
---

# Decision Intelligence Analyst at Rwazi, Inc.

- **Company:** Rwazi, Inc.
- **Location:** Global
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-02-27
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.ashbyhq.com/rwazi/e1975d00-57c2-4e4f-bcda-407e2391f84f

## Job description

## DECISION INTELLIGENCE ANALYST

Team: Product Location: Flexible / Remote Reporting to: VP of Product

## ROLE OVERVIEW

Rwazi’s platform produces decision-grade outputs powered by structured reasoning and AI-assisted judgment.

The Decision Intelligence Analyst owns decision quality.

This role evaluates system outputs, identifies reasoning weaknesses, and strengthens AI judgment through structured feedback and training loops.

It ensures the platform does not merely generate outputs — but generates sound, defensible decisions.

The Decision Intelligence Analyst is the quality control layer for decision intelligence.

## CORE MANDATE

The Decision Intelligence Analyst is accountable for:

- Evaluating decision outputs for logical integrity and sound reasoning
- Identifying patterns of judgment failure or inconsistency
- Designing structured feedback loops to improve AI reasoning
- Training and refining AI judgment frameworks
- Defining measurable standards for decision quality

This role governs the reliability of Rwazi’s decision engine.

## KEY RESPONSIBILITIES

## DECISION OUTPUT EVALUATION

- Review system outputs for logical coherence and reasoning rigor
- Assess signal interpretation accuracy
- Identify tradeoff miscalculations or flawed inference pathways
- Document recurring reasoning gaps

## AI JUDGMENT TRAINING

- Create structured examples to refine reasoning performance
- Develop edge-case libraries for training robustness
- Formalize evaluation rubrics for decision quality
- Collaborate with R&D to improve reasoning architecture

## QUALITY STANDARDS & METRICS

- Define measurable criteria for decision-grade output
- Track improvements in reasoning consistency
- Monitor drift in output quality over time
- Establish acceptance thresholds for release

## FAILURE MODE ANALYSIS

- Identify systemic reasoning weaknesses
- Surface blind spots in signal modeling
- Propose structured adjustments to logic layers
- Escalate structural flaws early

## CROSS-FUNCTIONAL COLLABORATION

- Partner with Product to align quality with roadmap goals
- Collaborate with R&D on advanced reasoning improvements
- Provide structured feedback to Engineering when system behavior deviates

## ROLE IMPACT

Strong performance in this role results in:

- Higher confidence in decision outputs
- Reduced reasoning inconsistencies
- Improved explainability
- Faster detection of system drift
- Stronger enterprise trust

This role protects the intellectual credibility of the platform.

## WHAT THIS ROLE IS NOT

- This is not general QA
- This is not surface-level data validation
- This is not simple output review

This role evaluates reasoning quality, not formatting correctness.

## QUALIFICATIONS AND PROFILE

We are looking for individuals who demonstrate:

- Strong analytical and logical reasoning ability
- Experience evaluating AI systems, decision frameworks, or complex models
- Comfort dissecting multi-step reasoning chains
- Ability to formalize judgment criteria
- Strong written clarity and structured thinking
- Comfort working with ambiguity and edge cases

Candidates may come from applied AI evaluation, consulting, operations research, economics, philosophy of logic, or technically rigorous analytical fields.

## CULTURAL FIT

We value analysts who:

- Obsess over reasoning integrity
- Question outputs rather than accept them
- Care about intellectual rigor
- Prefer structured evaluation over intuition
- Are comfortable holding high standards

## HOW CANDIDATES ARE EVALUATED

Candidates are evaluated based on:

- Their ability to critique and improve structured reasoning
- Clarity of their evaluation frameworks
- Depth of logical analysis
- Ability to identify hidden failure modes
- Their rigor in defining measurable quality standards

We prioritize demonstrated reasoning discipline over titles alone.

## SUMMARY

The Decision Intelligence Analyst safeguards the quality and integrity of Rwazi’s decision engine.

This role ensures that as AI capabilities expand, decision outputs remain structured, defensible, and enterprise-grade.

## About Rwazi, Inc.

## Company Overview
- **One-liner**: Rwazi is a decision AI platform that helps global brands turn real-time, zero-party consumer data into strategic actions to optimize product-market fit and campaign performance.
- **Entity Type**: Private (Series A)
- **Headquarters**: Los Angeles, California, United States
- **Founded**: 2021
- **Founders**: Joseph Rutakangwa

## Core Business
- Primary industry/industries: Consumer insights, market intelligence, AI-driven analytics
- Target customers: Fortune 500 brands across industries like consumer packaged goods, retail, and technology; primarily B2B, serving enterprise clients.
- Mission or purpose statement: "Helping global brands grow with AI trained on zero-party consumer data." [rwazi.com](https://rwazi.com/)

## Products & Services
- **Sena (Decision AI)**: World’s first Decision AI built on real-world data. It combines proprietary CRM/finance/product data (e.g., HubSpot, Google Sheets, SAP S/4HANA, Snowflake) with billions of verified, voluntarily shared consumer signals from 195+ countries. Users can ask a single question and get an executable decision—designed to reduce customer acquisition cost, increase customer lifetime value, and capture/grow market share. [rwazi.com](https://rwazi.com/)
- **Zero-Party Data Collection**: A system that captures real-time consumer activity (what, when, where, how often, why) both online and offline across 5 million+ retail and digital locations, analyzing over 1 billion products. Data is voluntarily shared, audit-ready, and provenance-locked. [rwazi.com](https://rwazi.com/)

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**:
  - **Total Funding**: $20.0 million (across 4 rounds) [weforum.com](https://www.linkedin.com/company/rwazi)
  - **Annual Revenue**: $5.0M – $25.0M (estimated by external data providers) [apify.com](https://www.linkedin.com/company/rwazi)
- **Recent Funding (Series A)**: $12 million led by Bonfire Ventures (Aug 2025). [cbinsights.com](https://www.cbinsights.com/company/rwazi)
- **Notable Investors/Partners**: Bonfire Ventures (lead), Techstars, Jobtech Innovation Lab [apify.com](https://www.linkedin.com/company/rwazi)
- **Growth Signals**:
  - Headcount grew 42% year-over-year (from 26 to 47 employees). [apify.com](https://www.linkedin.com/company/rwazi)
  - LinkedIn followers grew 68% year-over-year (7,510 followers). [apify.com](https://www.linkedin.com/company/rwazi)
  - Featuring on the "UrbanGeekz 50 2025: AI & Machine Learning" list. [rwazi.com](https://rwazi.com/)

## Competitive Advantages
- **Ground-Truth Data**: Unlike generic AI models that reason over synthetic or web-scraped data, Sena is built on real-world signals directly and voluntarily shared by consumers. Every data point is traceable, consented, and audit-ready. [rwazi.com](https://rwazi.com/)
- **Multi-Source Fusion**: Combines proprietary company data (CRM, financials) with billions of consumer signals—enabling an intersection of internal and external data for the first time. [rwazi.com](https://rwazi.com/)
- **Global Scale**: Active in 190+ countries, spanning 5 million+ retail/digital locations, and analyzing 1 billion+ products. [rwazi.com](https://rwazi.com/)

## Strategic Focus
- Expanding enterprise adoption among Fortune 500 brands (especially as compliance-heavy industries are a key target). [rwazi.com](https://rwazi.com/)
- Continuing to build out the "Decision AI" category, replacing intuition-based decisions (gut calls) with data-driven, executable plans. [yahoo.com](https://rwazi.com/about)
- International growth: maintaining and scaling teams in the US, Kenya, Nigeria, Vietnam, India, and other countries. [apify.com](https://www.linkedin.com/company/rwazi)

## Why Work Here
- **Culture & Growth**: Fast-growing startup (42% headcount growth YoY) with a globally distributed team across 14+ countries. Recent $12M Series A indicates strong financial backing and runway. [cbinsights.com](https://www.cbinsights.com/company/rwazi)
- **Remote/Hybrid Policy**: Distributed workforce with a significant presence in the US (Los Angeles HQ) and a strong engineering/data team in Africa (Kenya, Nigeria). Likely supports remote/hybrid work given the global nature of the team. [apify.com](https://www.linkedin.com/company/rwazi)
- **Notable Perks/Engineering Culture**: Focus on building at the frontier of AI and real-world data. Department breakdown shows a mix of General Management (11%), Research (10%), Technical (10%), and Marketing (8%). A meaningful share of the team is in Research and Engineering roles. [apify.com](https://www.linkedin.com/company/rwazi)

## Sources
1. [Company Website](https://rwazi.com/)
2. [About Page](https://rwazi.com/about)
3. [Company LinkedIn Profile](https://www.linkedin.com/company/rwazi)
4. [CB Insights Profile](https://www.cbinsights.com/company/rwazi)
5. [Jobs / Careers Page](https://jobs.ashbyhq.com/rwazi)

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