About Us NALA is building Payments for the Next Billion. Faster, smarter, and fairer transfers for everyone. Since 2022, weve grown our business 120x, grown the team from 9 to 150+, raised $50M+ from top-tier investors,
GiveDirectly has delivered more than $1B in cash directly to 2+ million people living in poverty across 15 countries since 2011. We believe cash transfers are one of the most scalable, cost-effective, and dignified forms of
About Wing Wing Assistant is building the next generation of AI-enabled workforce solutions for growing businesses. We help companies get high-quality support across roles like executive assistance, admin support, customer support, sales support, recruiting support, operations
Help build a world-class global HR function inside an AI-first, high-performance organization Title: Talent Operations & Recruitment Specialist — Remote · Independent Contractor (Retainer-Based) Location Eligibility & Work Model This is a fully remote role. We
Senior QA Automation Engineer Nairobi, Kenya At Vyntra, we help financial institutions across the world fight fraud, prevent money laundering, and gain full visibility into every transaction. Our AI-powered platform combines advanced fraud detection with large-scale
Job Title: Dynamics 365 CRM Developer (Customer Engagement (CE) — In-House Technical Role) Reporting & Working Relationships Reports to: IT / Applications Manager (or designated ERP/CRM Project Lead) Position type: Full-time, internal (in-house) role Works closely
Este es un puesto de trabajo remoto. Full-Stack Developer (AI-First Product) Schedule: Full-time, remote 8:00 AM – 5:00 PM EST Flexible schedule with at least 50% overlap with EST (U.S. Eastern Time) Availability to attend meetings
We are seeking a Backend and frontend Software Engineer to design and maintain scalable APIs, cloud infrastructure, and backend systems powering modern applications. The ideal candidate has strong cloud engineering experience and deep familiarity with AWS and
Key Responsibilities Specification-Driven Extraction Engineering: 1. Design and maintain declarative extraction specifications—using Pydantic models, JSON schemas, or domain-specific languages—that describe exactly which fields to capture, their types, and validation rules. 2. Implement pipelines that translate these