DataVisor is hiring a
Bilingual (Chinese) Saas Technical Project Manager

Summary

The job is for a role that involves managing engineering teams, running metrics, coordinating QA testing, controlling system release scope, driving cross-team special projects, handling incident response, and participating in status meetings. The role requires a bachelor's degree in Computer Science or STEM discipline, hands-on technical system operation experiences, hands-on enterprise cloud software experiences, experience with agile software development methodology, exceptional communication skills, obsession with process, deadlines, and accountability, resourcefulness, detail-orientation, self-motivation, and proactivity. Bonus points are given for background in machine learning or data science, familiarity with cloud services.

Requirements

• Bachelor’s degree in Computer Science or STEM discipline or experience in software environment
• Hands-on technical system operation experiences
• Hands-on enterprise cloud software experiences
• Experience with good understanding of agile software development methodology, e.g. Scrum. Good experience with Jira at the administrator level
• Ability to break down complex projects and requirements into trackable milestones
• Ability to work with technical and non-technical stakeholders at all levels within an organization
• Exceptional verbal and written communication skills
• Obsession with process, deadlines and accountability
• Resourceful, detailed-oriented, self-motivated and proactive mentality
• Bilingual language skills (English / Chinese)

Responsibilities

• Manage and drive end-to-end sprint process for various engineering teams
• Facilitate product managers and engineering managers to conduct sprint planning
• Clarify requirements and prioritize tasks
• Drive team stand-up
• Monitor development progress
• Coordinate cross-team collaborations
• Organize QA testing and drive bug resolution
• Work with stakeholders to deliver product new features and improvements on time and in high quality
• Own and run metrics for the entire engineering team
• Deliver and analyze the metric every sprint and drive improvement initiatives
• Coordinate QA efforts for engineering developments and bug fixing in order to meet the system release schedule
• Keep track control the system release scope for both quarterly main release and ad-hoc hot fixes
• Become the go-to person of what will be released, and more importantly, drive engineers to line up with the release schedule, manage code cherry-picks, manage different code branches
• Drive cross-team special engineering projects
• Own system release process, organize and oversee each system release activities with hands-on leadership
• Manage the engineering war room and customer service team communications
• Effectively anticipate and plan for risks and contingencies, proactively documenting and communicating them to stakeholders
• Drive the incident response process, handling communications and postmortems to mitigate similar problems in the future
• Facilitate and participate in regular status meetings to capture meeting minutes, drive follow-ups and prepare status reports for senior leadership

Preferred Qualifications

• Background in machine learning or data science
• Familiarity with cloud services (AWS etc.) and/or big data infrastructure

Benefits

• Work remotely
• PTO
• Health Benefits
• Retirement Plan