Full-Time
AI Engineer
Marketing & GTM Systems
Rwazi
51-200 employees
AI-driven market intelligence for consumer data
No salary listed
Remote in USA
Remote
Must have meaningful overlap with US time zones.
 Software Engineering (1) |
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- Strong Python and/or TypeScript skills.
- Comfort with scraping, enrichment, and API integrations.
- Hands-on experience with modern go-to-market tools, including CRM systems, enrichment tools, orchestration platforms, and email infrastructure.
- Experience building and demonstrating autonomous or semi-autonomous workflows that ran in production.
- Availability with meaningful overlap with United States time zones.
- Availability for 25–40 hours per week during the contractor engagement.
- A link to shipped AI-powered go-to-market or marketing automation work is required for application review.
- Absorb manual go-to-market workflows into self-running AI systems.
- Build an outbound engine covering lead sourcing, enrichment, scoring, personalized sequencing, CRM integration, agentic automation, and human-in-the-loop controls.
- Build inbound and lifecycle flows for lead routing, qualification, nurture triggers, activation, and re-engagement.
- Build an AI-assisted content pipeline for outbound copy, landing pages, social content, and campaign assets, with quality-assurance gates.
- Build dashboards and reporting for pipeline, conversion, and campaign performance without manual assembly.
- Build temporary patches when go-to-market workflows break or tool gaps appear.
- Ship a first working artifact within the first seven days.
- Deliver two to three go-to-market automations in production and an outbound-engine alpha within the first 30 days.
- Measure the manual go-to-market workflows removed per week and quantify hours saved or pipeline moved by day 90.
Rwazi provides AI-powered market intelligence for consumer and retail sectors. It collects and analyzes data on who buys what, how much, where, when, and why, turning it into actionable insights. The platform works by aggregating data, applying AI to summarize and segment, and offering a subscription-based web interface where users can capture, generate, segment, and analyze data. Rwazi differentiates itself by focusing on hyper-local, real-time market feedback and combining AI with human expertise to democratize access to market intelligence across diverse global markets. Its goal is to help clients increase revenue and guide product decisions by spotting emerging trends quickly.
Company Size
51-200
Company Stage
Series A
Total Funding
$19.8M
Headquarters
Mauritius
Founded
2018
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Simplify's Take
What believers are saying
- Bonfire’s July 2025 $12 million Series A extended runway for hiring and expansion.
- August 2026 listings show 24 open roles, signaling active commercial scaling.
- March 2026 launch targets hyperscale AI labs needing real-world multimodal validation data.
What critics are saying
- 2026 enterprise buyers can delay renewals if dataset quality disappoints across regions.
- NIQ, Kantar, Zappi, and YipitData squeeze pricing with deeper budgets and distribution.
- If AI Datasets fail, Rwazi remains a niche research vendor with limited scale.
What makes Rwazi unique
- 195-country zero-party contributor network beats modeled panels and synthetic datasets.
- March 2026 AI Datasets add licensed multimodal training data for production AI.
- Rwazi combines consumer intelligence, decision systems, and monetization across one platform.
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Benefits
Remote Work Options
Growth & Insights and Company News
6 month growth
↓ -2%1 year growth
↑ 0%2 year growth
↑ 1%Rwazi has launched Rwazi AI Datasets, commercially licensed multimodal datasets designed for AI training and validation at production scale. The datasets are collected across 195+ countries through a global mobile contributor network and reflect real-world conditions rather than controlled environments. The offering includes speech, audio, image, video, and multimodal data to address performance gaps that emerge when AI systems trained on synthetic data encounter real-world variability in accents, lighting, environments, and behaviours. Data is sourced through explicit contributor consent with documented collection methodology and enterprise-grade compliance frameworks. Rwazi's mobile-first infrastructure enables rapid scaling across multilingual and regionally diverse populations. The datasets are designed for hyperscale AI labs and enterprise teams deploying models in high-variability environments where production reliability is critical.
Rwazi, a consumer insights and market intelligence startup headquartered in California, has raised US$12 million in a series A funding round led by Bonfire Ventures.
Rwazi, a startup founded by Joseph Rutakanga and Eric Sewankambo in 2021, has raised a $12M Series A led by Bonfire Ventures to enhance its AI-powered consumer insights platform. The company aims to provide real-time consumer data from 190 countries, helping businesses like Coca-Cola and Nestle predict consumer behavior. The funding will be used to scale its AI co-pilot and hire more engineers. Rwazi differentiates itself by using zero-party data instead of modeled data.
Rwazi raises $12M Series A to help companies with consumer insights and intelligence.
Rwazi has raised a $12 million Series A led by Bonfire Ventures to help companies with market intelligence and consumer insights