Knowledge Management Manager
Dyson is hiring a Knowledge Management Manager in Shanghai, China. Level rates it ; you can apply on Dyson.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- The posting mentions training delivery, content creation and technical support among its tools and skills.
- Level classes it as a mid-level role.
- Dyson has 419 other open roles on Level.
AI in this role
Develops aftersales technical training content, manages knowledge bases, and delivers training programs to internal and external teams.
Positions Overview:
We are looking for an Aftersales Support Engineer - Training to join our China Aftersales Competence Centre team. This role will take the lead in knowledge base development, training content creation, and training delivery, with a focus on continuously improving the quality and effectiveness of our aftersales training programs.
The successful candidate should have a background or strong interest in training, with experience in training content creation and development. You will work closely with the Customer Service and Aftersales teams, as well as other key stakeholders, to ensure that our service teams have the knowledge and capabilities needed to deliver an excellent customer experience.
Key Responsibilities
As our Aftersales Support Engineer - Training, you will:
- Develop and continuously improve training content, including FAQs, service scripts, failure modes, troubleshooting procedures, and other technical training materials, ensuring that all deliverables meet agreed quality, quantity, and timeline requirements.
- Collaborate closely with knowledge base stakeholders to collect the necessary technical data, product information, service insights, and other inputs required for training content development.
- Deliver effective training programs to both internal trainers and external third-party service teams, ensuring consistent understanding and application of aftersales knowledge and service standards.
- Monitor and evaluate training quality, including Train-the-Trainer (TTT) sessions and identify opportunities for improvement.
- Leverage data and trainee feedback to evaluate training effectiveness, identify key insights, and continuously improve both training content and delivery methods.
- Drive continuous improvement to ensure sustainable, consistent, and high-quality training delivery across the aftersales service network.
Key Skills & Qualifications
- Bachelor’s degree or above. Electronic/electrical, home appliances, or broader consumer electronics industries would be a plus.
- 1–3 years of relevant experience in training content creation and development
- 1–3 years of experience in training delivery; exposure to presentation, facilitation, or knowledge sharing would be a plus.
- Good command of spoken and written English.
- Good communication and presentation skills, with willingness to work with cross-functional stakeholders.
- An open, structured, and analytical mindset, with strong logical thinking skills.
- Good data analysis and problem-solving skills would be an advantage.
Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.
How we rate this
Knowledge Management Manager at Dyson rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where training delivery was part of your work. What did you do?
- Tell me about a project where content creation was part of your work. What did you do?
- Tell me about a project where technical support was part of your work. What did you do?
- Tell me about a project where knowledge management was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Training Delivery, Content Creation, Technical Support, Knowledge Management, and Data Analysis. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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