Top Tech Jobs & Startup Jobs

Leads product strategy and growth for Mastercard’s Canadian small and medium enterprise segment. Responsibilities include market and competitive analysis, product innovation and commercialization, partnership development, portfolio optimization, P&L improvement, sales enablement, and cross-functional collaboration across finance, legal, marketing, services, and account management. The role also supports customer-facing discussions and develops digital payment use cases and value propositions for SMEs.

Lead the architecture and development of scalable batch, streaming, and event-driven data platforms supporting analytics, machine learning, generative AI, and agentic AI. Build governed lakehouse architectures, reusable data products, ingestion and orchestration pipelines, and AI lifecycle capabilities. Drive security, governance, observability, reliability, performance, and cost optimization while translating R&D concepts into production systems. Provide hands-on technical leadership, architecture reviews, mentorship, and cross-functional collaboration.

Manage and grow existing and new Mastercard customer accounts in Vietnam, driving sales and net revenue targets. Develop account plans, conduct business reviews, analyze profitability and competition, pitch Mastercard solutions, resolve operational issues, and coordinate internal resources. The role requires strong payment-industry knowledge, account management and business development experience, analytical ability, customer relationship skills, and effective execution across multiple accounts.

Designs, builds, tests, and scales full-stack analytics applications, responsive user interfaces, data models, APIs, and data pipelines. Partners with product managers and designers to develop customer-focused features, mentors junior engineers, reviews code, improves development processes, and collaborates across global teams. The role requires strong Java and modern web development expertise, cloud-native development knowledge, distributed systems experience, and an analytical, collaborative approach.

Designs, builds, tests, and maintains scalable full-stack analytics applications, responsive user interfaces, data models, APIs, and data pipelines. Partners with product managers and designers to deliver customer-focused features, improves development processes, reviews code, and mentors junior engineers. Works collaboratively across teams and geographies in an agile environment while applying cloud-native technologies, distributed systems, automated testing, and analytical problem-solving.

Designs, builds, tests, and maintains scalable full-stack analytics applications, responsive user interfaces, data models, APIs, and data pipelines. Partners with product managers and designers to deliver customer-focused features, reviews code, improves development processes, and mentors junior engineers. The role requires strong collaboration across teams and geographies while developing solutions for credit risk, portfolio optimization, and advertising analytics.

Build and operate MLOps pipelines, model registries, deployment workflows, monitoring, governance, and CI/CD for production AI/ML services. Orchestrate Databricks training and inference workloads, implement safe releases and rollback procedures, manage observability and compute costs, apply cloud security practices, provision infrastructure with Terraform, and support incident response across engineering, data, and AI teams.

Build and operate MLOps pipelines, model registries, deployment workflows, monitoring, governance, and CI/CD infrastructure for reliable AI services. Manage Databricks training and inference workloads, implement safe releases, observability, security controls, infrastructure as code, and incident response. Partner across engineering, data, and AI teams to make technical design decisions and improve production systems.

Build tooling, services, and reusable patterns to enable Agentic and Generative AI across products. Design and implement AI-enabled applications, evaluate models and frameworks, improve developer experience through automation, and partner with stakeholders to prototype and scale production-grade AI systems.

Leads technical solution design, customer onboarding, implementations, and ongoing support for Open Finance and digital solutions. Coordinates commercial, product, engineering, and customer stakeholders; ensures governance and standards compliance; creates technical documentation and repeatable processes; and mentors junior team members. The role requires strong Java development, web technology knowledge, API and SDK integration experience, architecture skills, customer implementation leadership, and effective business-technical communication.