Top Tech Jobs & Startup Jobs

Build and maintain internal systems and automation on GCP, integrate APIs, and improve existing tools. Support non-engineering teams by reviewing code, resolving deployment and database issues, and making prototypes production-ready. Establish shared templates, Git, CI/CD, and deployment practices. Use AI coding agents extensively to build systems and design agentic workflows. Collaborate with business stakeholders to clarify requirements, assess risks, and propose practical solutions.

Drive advertising sales growth across Hong Kong and South China by acquiring and nurturing clients, managing the individual sales pipeline, forecasting revenue, proposing tailored digital marketing solutions, and building relationships with advertisers, media agencies, CMOs, and marketing leaders. The role requires strong digital media sales expertise, client service, negotiation, communication, and the ability to translate complex technology into practical business solutions.

Develop reusable advertising UI components, JavaScript libraries, SDKs, and ad-rendering systems. Optimize performance and responsive behavior, integrate external SSP platforms, implement analytics, and contribute to UI/UX and product development. Collaborate with designers and backend engineers while using modern frontend frameworks, testing tools, AI-assisted development tools, and web technologies to deliver scalable, high-quality applications.

Lead backend engineering for AI-powered product recommendation systems. Design AI agents, machine learning pipelines, scalable cloud-native architectures, ML execution frameworks, and CI/CD infrastructure. Own major engineering projects, provide technical leadership, mentor engineers, conduct code reviews, optimize performance, and improve observability, incident management, and production operations. Collaborate with data scientists and product managers to deliver high-throughput, low-latency personalization services.

Lead cross-team technical programs for AI bidding and campaign optimization, coordinating scientists, engineers, product teams, external partners, and internal users. Responsibilities include planning delivery timelines, translating requirements into technical solutions, defining experiment and migration SOPs, coordinating A/B testing and rollouts, managing reviews and prioritization, documenting trade-offs, and validating decisions with SQL and spreadsheets.

Build and operate large-scale data warehouse systems, ETL pipelines, data lakes, and machine learning platforms. Manage globally distributed cloud deployments with hundreds of instances and process hundreds of terabytes of data. Develop solutions using Apache Spark, Hudi, Trino, and related big data technologies while improving software development foundations, monitoring, data access, and platform reliability.

Lead the design, development, and optimization of scalable backend services supporting real-time ad recommendations and serving infrastructure. Own technical roadmaps, improve latency and throughput, enhance observability and incident management, collaborate with product and science teams, maintain code quality, mentor engineers, and participate in on-call rotations.

Provides confidential, high-level administrative and operational support to the Global SVP and Head of Sales. Responsibilities include managing complex calendars, coordinating cross-border meetings and travel, handling executive communications in English and Mandarin, preparing agendas and documents, tracking action items, reconciling expenses, and supporting business development initiatives and special projects.

Provides corporate legal counsel and compliance support for global commercial activities. Drafts, reviews, and negotiates sales, vendor, partner, licensing, and marketing contracts, primarily in Japanese. Conducts research and manages product-facing compliance involving privacy, AI, advertising, AdTech, and MarTech regulations, including IAB standards. Coordinates with global colleagues and streamlines legal processes, with contract operations and compliance each comprising approximately half of the role.

Analyze campaign, auction, bidding, and user-behavior data to identify performance opportunities, investigate root causes, and develop testable hypotheses. Design and evaluate A/B experiments, define metrics and guardrails, build analytical datasets and pipelines, and create dashboards for campaign monitoring. Collaborate with ML scientists, engineers, product, creative, and operations teams to drive insights through production improvements. Use AI-assisted tools to increase analytical efficiency.