Technical Project Manager

We are seeking a skilled and strategic Technical Project Manager to drive the execution of AI-driven projects, manage cross-functional collaboration, and oversee the end-to-end lifecycle of complex initiatives. The Technical PM will work closely with AI engineers, software developers, and business stakeholders to ensure that projects are delivered with clear priorities and aligned with business objectives. If you excel in bridging technical and business teams and are passionate about leveraging technology to deliver maximum impact, we invite you to join our team!

[Key to Success]

• Translate business needs into actionable project plans, maintaining clear prioritization to maximize project value
• Collaborate closely across departments, ensuring alignment and effective communication to meet project goals
• Facilitate a shared understanding of objectives and priorities, enabling the team to deliver high-value outcomes
• Proactively identify potential challenges, developing solutions that keep projects moving forward
• Stay updated on industry best practices, especially in AI-driven development, and apply insights to optimize project workflows

[Responsibilities]

• Lead the planning, prioritization, and delivery of technical projects focused on AI integration and workflow automation
• Work with AI engineers, developers, and business stakeholders to ensure project milestones reflect both technical feasibility and business value
• Facilitate open communication, manage stakeholder expectations, and resolve dependencies, driving alignment across teams
• Coordinate requirement-gathering sessions and collaboratively set priorities that align with strategic business goals
• Oversee testing, deployment, and post-launch phases, focusing on iterative improvements that deliver value and meet user needs
• Promote continuous improvement by conducting retrospectives and analyzing project performance, refining workflows for future projects
• Engage in continuous learning and leverage AI tools to address skill gaps, boosting efficiency and the quality of output.

Core Skills:

• Prioritization and Value-Driven Mindset: Skilled at translating business needs into actionable, prioritized project plans that maximize project value.
• Exceptional Communication and Interpersonal Skills: Proficient in managing stakeholder expectations and facilitating alignment across technical and business units in both English and Mandarin.
• Proactive Problem-Solver with an Agile Mindset: Able to anticipate and address project challenges early, developing adaptable solutions that keep projects on track.
• Cross-Functional Collaboration: Strong ability to work effectively with diverse teams, facilitating a shared understanding of goals and priorities to drive high-impact results.
• Leadership in Continuous Improvement: Dedicated to refining project processes and team performance through regular analysis and retrospectives.

Technical Expertise:

• Project Management Tools: Proficiency with industry-standard tools like Jira, Trello, or Asana, with expertise in Agile methodologies for managing sprints and iterative progress.
• Technical Acumen in AI Solutions: Familiarity with AI and software development principles to engage effectively in technical discussions, with an understanding of model lifecycle basics to oversee AI-driven solutions.
• System Integration and Data Flow: Understanding of data integration, system architecture, and API fundamentals for aligning technical specifications and ensuring smooth project execution.
• Data-Driven Decision-Making: Able to analyze and leverage project data, such as performance metrics, to inform prioritization, scheduling, and ongoing improvements.

Nice to Have:

• Product-Focused Perspective: A strategic mindset for managing project goals with a product-oriented approach, adding value to team output and aligning project scope with business objectives.
• Hands-On Experience with AI Applications: Practical experience with AI or machine learning application projects, providing insight into the project lifecycle, deployment, and iterative enhancement.
• Lifecycle Management of AI Solutions: Knowledge of best practices in managing AI application workflows, supporting end-to-end lifecycle processes for efficient, high-impact project delivery.