The V1xSP (VisionOne for Service Provider) platform is purpose-built for Partner business, providing a centralized marketplace where partners can sell and manage TrendAI™ products and services. xSP Business team is the team that brings products and processes together, playing an important role in business enablement of TrendAI™ products, channels, and partners. We build platforms to make all TrendAI™ products go to market easily, and make TrendAI™ channel partners do business in a friendly manner. You will participate in every aspect of TrendAI™ business process, product lifecycle, and business model with partners.
As a team member, you will be involved in the full lifecycle of service development and required to fully utilize a variety of tools and methodologies, including AI-powered development tools, to ensure the quality of service development, delivery, and operation. Innovation and continuous learning are at the core of this role.
Key Responsibilities
Technical Leadership
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Lead internal cross-team members for the Product Licensing Service group on multiple project deliveries to achieve business goals.
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Lead the design and implementation of a new-generation entitlement management system, including necessary cross-department and cross-country system integrations.
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A high level of comfort navigating ambiguity, and a keen sense of ownership to deliver results in an agile environment.
AI-Augmented Development
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Integrate AI tools (e.g., GitHub Copilot, Cursor, Claude Code) throughout the development lifecycle, from spec writing, test generation, code review, to debugging, rather than using them as occasional shortcuts.
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Critically evaluate AI-generated output before adoption, maintaining the same engineering standards as handwritten code, and guide the team to do the same.
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Establish and share effective AI workflows within the team, including prompt template libraries and project-specific AI configurations.
Product and Platform Development
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Lead and develop web applications in a full-stack manner for analysis and visualization for business stakeholders (Sales / SalesOps / Business Development).
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Lead data-oriented decision-making for the Product Licensing Service group, including roadmap development, business decisions, and data visualization strategies.
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Lead new technology solutions on the business side such as billing/invoicing, and deliver technical solutions using cloud platforms (AWS / Azure).
DevOps and Operations
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Work with a DevOps mindset: lead the team using DevOps tools to run services and respond in a timely manner.
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Automate and enhance development and release processes to improve efficiency and reliability.
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Participate across multiple teams in a leading role through agile development methodology.
Qualifications / Requirements
Technical Skills
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3+ years of related work experience.
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Proficient in one or more of: C#, Python, Go, Node.js, with RESTful Web API development experience.
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Strong knowledge of cloud computing and industry trends; capable of leading cloud project development on AWS or Azure.
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Strong understanding of application security and secure software development lifecycle (SDLC).
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Experience designing and operating high-scalability, high-availability web services.
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Capable of leading database design and managing DB-related activities.
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Familiarity with microservice architectures and container solutions (Docker / K8s).
AI-Assisted Development Skills
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Hands-on experience with AI-native development tools (e.g., Cursor, GitHub Copilot, Claude Code) in real projects or side projects.
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Ability to provide effective context when working with AI, understanding that output quality depends on input quality (context engineering).
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Habit of critically reviewing AI-generated code rather than adopting it directly; able to lead the team in establishing this standard.
Nice to Have
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Experience with CI/CD automation tools (e.g., Jenkins, GitHub Actions).
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Experience with Infrastructure-as-Code (IaC) tools (e.g., Terraform, CloudFormation).
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Experience with monitoring, alerting, and log visualization tools (e.g., Elasticsearch, Kibana).
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Experience establishing consistent personal AI workflows (e.g., prompt template library, project-specific AI configuration).
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Familiarity with context engineering techniques to guide AI toward higher-quality outputs.
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Fluent English communication skills (spoken and written).
Culture Fit
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Approaches AI as a core part of the engineering craft, continuously experimenting with new tools, sharing effective workflows with teammates, and treating AI-generated output with the same rigor as handwritten code.
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Embraces DevOps culture: open to on-call rotation and flexible working hours adjustment.
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Fast learner, proactive, self-motivated, and a reliable team player.
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Excellent problem-solving skills, cross-team collaboration, and the ability to work independently.