Design and own the backend infrastructure supporting sales and business development teams, turning fragmented workflows into reliable, scalable systems.
Compensation
Annual compensation of approximately USD 20,000–32,000, depending on location and experience.
Responsibilities
Design and build data pipelines that collect account and contact information from multiple sources and APIs, clean and deduplicate records, calculate scores, and synchronize data with the CRM as a reliable source of truth.
Develop and maintain the central data model and database connecting CRM, outreach, and product information.
Build integrations between internal and third-party platforms using REST APIs and webhooks.
Develop lightweight internal services and tools whenever existing solutions do not adequately meet business needs.
Create signal detection, lead-scoring, routing, and alerting systems that help sales representatives identify the right accounts to prioritize and understand why they matter.
Requirements
Degree in Computer Science or a related engineering discipline
AI Team Analyst supporting the B-READY data and report within the Development Economics Vice Presidency (DEC).
Responsibilities
Support the design, prototyping, testing, documentation, and implementation of AI-enabled tools, data pipelines, dashboards, and analytical applications for B-READY operations.
Clean, merge, transform, validate, and analyze structured and unstructured data, primarily using Python, and produce reproducible outputs for monitoring and decision-making.
Support B-READY data validation and indicator scoring by developing automated checks, anomaly-detection routines, comparison tools, and quality-control reports consistent with approved methodologies and protocols.
Use large language model APIs and other approved AI services to build and evaluate AI-assisted workflows, including prompt design, automated web research, information extraction, classification, summarization, and coding support.
Collaborate with topic teams to understand business needs, document requirements, identify workflow bottlenecks, and translate them into appropriately scoped technical solutions.
Requirements
Advanced degree (master’s level) in Economics, Data Science, Computer Science, Statistics, another quantitative social science, or a related field
Nice to have: Experience with B-READY data validation and indicator scoring
Nice to have: Experience applying documented methodologies to complex cross-economy data
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