Jobs at Cube Asia

Serve as Cube's primary contact for a major global consumer-goods client: manage stakeholder relationships, coordinate projects and deliveries, surface client needs to product and data teams, and ensure high-quality, timely insights. Build expertise in Cube's e-commerce market data and reports while identifying opportunities to improve the client experience and support account growth.

Lead and build the finance function for a Series A-scale startup: own FP&A, tighten Xero reporting and controls, run monthly close, improve investor and board reporting, oversee billing/collections and Singapore compliance, and mentor the senior analyst while scaling the team.

Build and maintain self-hosted LLM features and infrastructure: chat interfaces, MCP server, RAG pipelines (ingestion, embeddings, vector stores, retrieval, reranking), prompts, evaluations, observability, and secure integrations. Work with Infrastructure and Data Engineering to deploy and operate production LLM systems and ship end-to-end AI features.

The Talent Acquisition Analyst will drive the recruitment process for various roles, partner with managers to define candidate profiles, and build a diverse talent pipeline, focusing on fostering a strong hiring culture.

Act as primary data contact for a major client, manage end-to-end country-specific market data projects, validate outputs with internal analytics teams, translate client needs into actionable insights, and collaborate cross-functionally to deliver tailored e-commerce data solutions.

Design, build, and maintain backend services, APIs, and platform features for a Next.js-based data platform. Improve scalability, performance, and reliability for large-scale data processing and analytics, collaborate with frontend and BI teams, troubleshoot production issues, and drive architecture and optimization decisions.

Work with real-world datasets to clean, transform, and analyze data using Python and spreadsheets; perform exploratory analysis, develop data models, support client reporting, and communicate insights to cross-functional teams to drive e-commerce decisions.

This role involves testing dashboards and features on an analytics platform, ensuring their accuracy and usability for real users. Collaboration with product owners and BI developers is key to validating requirements and documentation prior to live releases.

The Product Owner will lead product discovery and prioritize data products to meet business needs, translating requirements into actionable tasks while collaborating with cross-functional teams.