Own the full end-to-end
Global Indirect Procurement
lifecycle across a diverse range of categories — including General Construction, HR Services, Administration, Computer Hardware, and Office Software — encompassing RFQ issuance, vendor evaluation and onboarding, contract negotiation, and purchase order management.
Design and execute
global sourcing strategies
for Indirect Procurement, ensuring full alignment with the Company's strategic objectives, operational priorities, and financial targets.
Build and oversee robust
supplier performance management frameworks
, monitoring KPIs, delivery timelines, and quality benchmarks to drive consistent service excellence and contractual compliance.
Proactively identify, assess, and onboard
new suppliers across international markets
; develop and maintain a comprehensive supplier database capturing performance data, pricing history, and contractual terms.
Facilitate
regular strategic business reviews
with key suppliers to evaluate performance, resolve issues, unlock continuous improvement opportunities, and foster long-term, value-driven partnerships.
Lead
commercial negotiations
on pricing, payment terms, delivery schedules, and Service Level Agreements (SLAs); manage the full contract lifecycle including drafting, renewals, and amendments.
Drive
cross-functional collaboration
with internal business units on resource planning and delivery commitments; work closely with Finance on budget forecasting, cost optimisation initiatives, and invoice reconciliation.
Develop and present
comprehensive procurement reports and market intelligence insights
to senior leadership, enabling informed, data-driven decision-making and forward-looking strategic planning.
Requirements:
Experience:
Minimum 5–8 years of progressive procurement experience, with a proven track record in Indirect Procurement within a fast-growing technology company or high-scaling startup environment.
Domain Knowledge:
Strong working knowledge of the Singapore vendor landscape, with particular familiarity across key categories including IT distributors, facilities management contractors, and insurance brokers.
Versatility:
Demonstrated ability to navigate across diverse procurement categories — seamlessly bridging technical engineering requirements and corporate services such as HR benefits and administrative procurement.
Negotiation Skills:
A skilled and persuasive negotiator with the ability to structure commercially favourable terms while cultivating long-term, trust-based supplier partnerships and maintaining a lean cost structure.
Communication:
Excellent written and verbal communication skills in English; proficiency in
Mandarin
is preferred to facilitate effective coordination with regional and international partners.
Education:
Bachelor's degree in Business Administration, Supply Chain Management, Engineering, or a related discipline. Professional certification such as
CIPS
or equivalent is an advantage.
ScitiX – Delivering Intelligent Computing for the Future of AI.
ScitiX is a next-generation provider of intelligent computing infrastructure, dedicated to empowering artificial intelligence innovation through high-performance, scalable solutions. Built on deep technical expertise and large-scale cluster operation experience, ScitiX offers a full-stack platform spanning IaaS, PaaS, and MaaS, delivering end-to-end support for AI development workflows.
At the core of ScitiX’s offering are high-performance GPU clusters capable of supporting large-scale model training with ultra-low latency interconnects and optimized storage bandwidth. Leveraging multi-cluster management capabilities, ScitiX delivers serverless GPU cloud services with minute-level billing, enabling flexible and efficient resource utilization tailored to diverse AI workloads.
The company’s all-in-one AI platform, SiFlow , integrates data ingestion, preprocessing, distributed training, fine-tuning, and inference into a unified system. Designed for both researchers and enterprise users, SiFlow significantly reduces infrastructure complexity, allowing algorithm engineers to focus entirely on model innovation.
ScitiX also delivers Model as a Service (MaaS), providing access to a wide range of pre-trained models and tools for evaluation, inference, and deployment. This approach accelerates the development cycle, lowers entry barriers for AI adoption, and supports rapid iteration in complex application scenarios.
With a proven track record in managing large-scale GPU clusters at scale, ScitiX delivers reliable, secure, and high-availability services backed by automated monitoring, fault detection, and intelligent scheduling systems. The platform is deployed across Tier-3+ data centers globally, ensuring consistent performance and business continuity for mission-critical AI applications.