Top Tech Jobs & Startup Jobs in Singapore

The Staff Enterprise Architect is responsible for defining and implementing enterprise architecture, aligning business strategy with operational models, and driving technical validation through hands-on involvement and stakeholder engagement.

The VP of Global Data & Privacy will oversee compliance and data practices related to privacy regulations, lead the privacy program, and support product development regarding data use. Responsibilities also include external representation, driving AI governance, and leading audits and training.

The role involves optimizing the marketing tech stack, managing HubSpot, executing ABM programs, and ensuring data integrity across systems.

As a Sr. Software Engineer II, you'll build and maintain data pipelines, develop backend services, and collaborate in a cross-functional team to deliver features for streaming TV advertising. You'll use AI coding tools, manage code quality, and ensure operational excellence across the GCP infrastructure.

Manage commission calculations, review compensation plans, analyze sales performance, and provide financial reporting and support to the sales organization.

As a Senior DevOps Engineer II, you will design and operate critical infrastructure platforms, elevate developer experience, shape standards, and lead technical projects. This role involves working with Kubernetes and various systems to enhance product reliability and efficiency.

The role involves leading the strategy and development of ad measurement products, utilizing AI/ML, and collaborating with various teams to improve campaign outcomes.

Design and develop backend services, collaborate with teams, optimize code, implement observability, and mentor mid-level engineers in a full-stack billing team.

Lead the PinAI team to develop AI-powered conversational interfaces for clients, architecting agentic AI systems and overseeing technical and team leadership.

The Staff Software Engineer will lead software development for programmatic products, focusing on scalability and reliability while utilizing big data technologies to enhance system performance and product delivery.