About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. Senior Manager, Accounts Payable & Receivable — APAC Financial Operations | APAC The Opportunity As Flexport expands its Financial Operations footprint across APAC, we are looking for a Senior Manager, Accounts Payable & Receivable, to lead both the AP and AR/collections functions for the region through this growth. This role blends operational excellence, credit risk and working capital management, and AI-enabled transformation: the ideal candidate combines deep AP/AR domain expertise with the ability to identify, build, and deploy practical automation and agentic AI solutions that materially improve efficiency, accuracy, and scalability. This is a hands-on leadership role that blends people management, cross-functional strategy, and technical fluency in AI-driven process design. You Will Lead end-to-end Accounts Payable and Accounts Receivable/collections operations across APAC, driving strategic initiatives from problem definition through execution, stakeholder alignment, measurement, and adoption. Identify, prioritize, and deploy AI-enabled automation and agent-based workflows across both functions to improve accuracy, operating efficiency, customer exp
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Role overview
Job description
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
What you’ll be doing:
Use and develop AI-powered tools to make software testing smarter, faster, and more effective!
Improve test case generation, defect detection, flaky test analysis, regression testing, and test coverage optimization.
Work with product, engineering, and cross-functional teams to review requirements and define test strategies.
Build test plans, design and execute test cases, and report quality status, risks, bugs, and results.
Perform functional, performance, fault-injection, reliability, and regression testing for cloud-native systems.
Automate test cases and contribute to scalable test frameworks.
Manage the bug lifecycle, reproduce customer issues, and verify fixes.
What we need to see:
MS or PhD in Computer Science, Engineering, or a related field.
5+ years of QA, test automation, or software testing experience.
Hands-on experience using AI tools to improve QA workflows.
Strong QA fundamentals, test strategy, test planning, and failure analysis skills.
Proficiency with Unix/Linux and shell or Python programming.
Experience with Kubernetes, containers, CI/CD pipelines, and cloud-native systems.
Experience testing observability tools such as Prometheus, Grafana, ELK Stack, Datadog, or similar platforms.
Experience with large-scale failure testing, using tools such as KWOK, Chaos Monkey, or similar frameworks.
Strong communication, problem-solving skills, and curiosity for complex technology
Ways to stand out from the crowd:
Used AI to reduce testing time, improve defect detection, or increase test coverage.
Built AI-driven solutions that streamlined QA workflows or reduced manual effort.
Experience with SaaS or PaaS testing.
Experience with NVIDIA GPU hardware or GPU-accelerated software.
What they are looking for
Skills & requirements
Qualification
What we need to see: MS or PhD in Computer Science, Engineering, or a related field
Hiring company
Nvidia
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