Top Tech Jobs & Startup Jobs in Singapore

Manage daily Singapore office operations, workplace services, facilities coordination, vendors, access administration, supplies, mailroom and employee onboarding support. Serve as the primary workplace contact for employees, visitors and partners. Coordinate office events, town halls and leadership visits, including venues, catering, logistics, communications, budgets and on-site issue resolution. Maintain records, process invoices, support safety and business continuity, and ensure a professional, clean and efficient workplace.

Supports demand generation campaigns, lead generation, account-based marketing, marketing operations, CRM data management, campaign tracking, performance reporting, and optimization. Coordinates campaign assets and stakeholders, analyzes conversion and engagement metrics, maintains marketing data accuracy, and collaborates with sales, product marketing, content, and regional teams to improve marketing effectiveness.

Design intuitive, scalable digital experiences across B2C and data-intensive B2B products. Responsibilities include discovery, user flows, interaction and visual design, design-system maintenance, usability validation, stakeholder alignment, accessibility, and delivery quality oversight. The role partners with Product, Engineering, and Data teams, uses quantitative and qualitative insights, and explores AI-assisted design tools while balancing user needs, technical constraints, and business goals.

Leads product engineering strategy, architecture, delivery, and operational excellence across SaaS, PaaS, and DaaS healthtech platforms. Builds and scales distributed engineering teams, establishes software development and DevOps practices, oversees quality, security, reliability, scalability, and platform performance, and partners with Product, Data, Commercial, Operations, and executives to execute technology roadmaps.

The Senior Data Scientist leads the design and development of machine learning models in healthcare, collaborating with cross-functional teams to deliver impactful insights and compliance.

Lead applied-AI innovation across the full lifecycle: discover problems, prototype and pilot AI/ML (including Generative and Agentic AI), then hand over to product and engineering. Mentor a small team, collaborate with stakeholders and senior leadership, and build healthcare-focused IP and production-ready AI capabilities.