Total 784 Education / Training job vacancies in PASIR GUDANG

加入大地学堂，共创趣味中文教学新天地！

关于我们：

我们是一家充满活力的新创教育团队，致力于为中学与小学生打造有趣又富有意义的中文学习旅程。通过充满互动和创意的课程，我们希望激发孩子们对中文的热爱与兴趣。我们正在寻找一位热情洋溢、有创意的中文补习老师加入我们，一同塑造孩子们的学习体验。

你的角色：

作为我们的中文教师，你不仅是知识的引导者，更是点燃学生好奇心和学习热情的点灯人。你将：

An established preschool in the Pasir Panjang / Labrador Park area is hiring an L2 English Teacher / L2 Preschool English Teacher to teach N1 and N2.

This role is suited for a teacher who is not only professionally qualified, but also patient, dependable, warm with young children, and able to contribute positively to a team-based preschool environment. The centre is looking for someone who can provide consistent care, build trust with children, and support a safe and engaging classroom experience.

Key Responsibilities

• Plan and deliver age-appropriate lessons for N1 and N2 children

• Support children’s learning, routines, behaviour, and emotional well-being in a caring and professional manner

• Create a positive, safe, and child-centred classroom environment

• Observe children’s development and maintain accurate records where required

• Work closely with colleagues and parents to support each child’s progress

• Prepare learning materials and classroom activities based on the centre’s curriculum framework

• Carry out daily classroom responsibilities, including supervision, routine care, and maintaining classroom order

• Participate in centre activities, meetings, and school events as required

Requirements

• Recognised L2 qualification for preschool teaching in Singapore

• Relevant preschool teaching experience preferred

• Able to teach and manage a class of preschool children with patience, care, and consistency

• Comfortable supporting young children who may need time, reassurance, and guidance to settle into school routines

• Responsible, dependable, and professional in work attitude

• Able to work well with colleagues in a preschool team setting

• Good communication and interpersonal skills

• Honest, organised, and able to follow through on responsibilities

Working Hours

• Monday to Friday

• Work schedule is based on rostered shifts within normal preschool operating hours of 7.00am to 7.00pm

• Saturday work only when there is a school event

• Saturday event involvement is roughly once a month

Curriculum and Work Environment

• The centre follows an inquiry-based curriculum

• Curriculum framework and teaching structure are provided by HQ

• Teachers are expected to deliver lessons effectively while adapting to the needs of young learners in class

Benefits

• 14 days annual leave

• Birthday leave after 1 year

• 2 days family leave after 1 year

• Possible teacher trip / school visit

• Non-contact time during children’s nap time

Additional Information

• Salary will be commensurate with qualifications, relevant experience, and overall fit for the role

• A stronger candidate may be considered within the stated salary range

How To Apply

Interested applicants may apply with an updated resume.

Only shortlisted candidates will be contacted.

This recruitment is handled by First Konnection Pte. Ltd.

Please note that First Konnection is the appointed recruitment agency for this role.

The successful candidate will be employed directly by our client and will be under the client’s payroll.

First Konnection is not the employer for this position.

EA Licence No.: 22C1307

EA Personnel: Ben Chang

EA Personnel Registration No.: R23111820

Job Description & Requirements:

Provide professional spa and wellness services to customers, able to perform body massage and spa treatments. Customer service oriented, sales driven and target oriented. Able to recommend suitable packages and services according to customers’ needs. Responsible for preparing necessary treatment products, stock replenishment, towel supply and maintaining cleanliness of treatment rooms and equipment. Pleasant personality with good communication and interpersonal skills, able to interact with customers of all levels. Well groomed, positive attitude, team player and willing to support daily outlet operations.

Responsibilities

Oversee daily outlet operations and ensure smooth workflow

Coordinate staff duties and support daily manpower arrangements

Monitor service quality and ensure company procedures are followed

Handle customer enquiries, feedback, and service-related matters professionally

Support appointment arrangements, daily schedules, and operational planning

Check sales records, payment records, receipts, and basic daily reports

Maintain a clean, organised, and presentable outlet environment

Assist in inventory checking and basic stock coordination when required

Work closely with management to improve daily operational efficiency

Perform other related duties assigned by the company

Requirements

Relevant experience in operations, customer service, retail, beauty, wellness, or service industry is preferred

Able to manage daily outlet operations independently

Good communication, coordination, and problem-solving skills

Able to handle customer-facing situations professionally

Responsible, organised, and able to follow company procedures

Able to work in a fast-paced service environment

Able to work on weekends, public holidays, or shift hours when required

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Diagnostic-Radiology%29/33182-en_GB/?st=E46E8C661AA4B677806A9C46B535F8BA84606614

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for multiple Research Fellow positions in Yong Loo Lin School of Medicine, Department of Diagnostic Radiology. Appointments will be made on a 1-year contract basis in the first instance, with the possibility of extension.

Purpose of the post

The PI lab aims to develop nucleic acids nanobiotechnology for RNA therapy and gene editing. The Research Fellow will be responsible to, and work closely with, the Principal Investigator and the team members to undertake independent and/or collaborative research and to lead on aspects of research strategy within the lab.

The Research Fellow will be able to:

(1) Undertake advanced research in the relevant discipline area using, or developing, the appropriate methods and/or techniques and help mentor graduate students assigned to the project;

(2) Lead and promote activities designed to develop collaborative research with research colleagues and support staff internally and to actively develop appropriate external contacts and networks relevant future collaboration and funding opportunities; Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures;

(3) Assist with any other duties of a similar nature that are delegated by the PI.

Qualifications

• Applicants should possess a Ph.D. (preferably in chemical engineering, molecule cloning, cancer immunology) with previous experience in designing research projects.
• A detailed knowledge of molecular imaging probes and/or nanomedicine is mandatory.
• Ability to design and perform scientific work independently and collaboratively is a must, as is the ability to thrive in a fast-paced environment.
• Experience in any of the following areas will be considered: chemistry and radiochemistry, biomaterials, nanomedicine, immunology, molecular imaging, theranostics and translational research.
• Motivation and the drive to work hard and learn new skills are most important.

Remuneration will be commensurate with the candidate’s qualifications and experience.

Only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Associate-%28Qualitative-Research%29/27411-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

About the Centre for Research in Health Systems Performance (CRiHSP)

Optimizing the performance of health systems is essential to ensuring the wellbeing and longevity of populations worldwide. Singapore is particularly well placed to lead research in this field as its health system has been consistently ranked as one of the best in the world based in independent evaluation with the Global Burden of Disease data. The Centre for Research in Health Systems Performance (CRiHSP) aims to advance research in this area within the Yong Loo Lin School of Medicine of the National University of Singapore (NUS) as the leading centre for research in health systems in Asia with the following core functions:

1. Research: empirical and methodological research and evidence synthesis on health systems performance with a particular focus on Value Based Healthcare.
2. Health policy intelligence: health policy impact analysis aimed at policy makers, service providers, researchers, and the wider public.
3. Capacity building: formal postgraduate programme (from certificates to PhD), fellowships,  mentoring, on-the- job and ad hoc training
4. Contributing to improving NUHS performance: expert advice on the development, implementation, and evaluation of flagship initiatives (including Healthier SG) aimed at making step changes in NUHS performance, and programme evaluation

The multidisciplinary team of researchers in health systems (health services and policy researchers, data scientists, social scientists, and others), and administrators working in CRiHSP will provide an exciting and dynamic place in which people of diverse backgrounds collaborate towards the common goal of achieving excellence in Health Systems Research. The team will further benefit from a significant expansion in related fields and collaborations with the Department of Family Medicine at the National University Health System (NUHS), the new Centre for Sustainable Medicine (CoSM) and the Centre for Behavioural and Implementation Sciences Interventions (BISI) at the School of Medicine and the Saw Swee Hock School of Public Health.

About the role

The Research Associate will have the following duties:

• Contribution to the management of research activities including grant and IRB/DSRB applications, budgeting, planning and monitoring project timelines and generally support project management and coordination and liaising with internal and external stakeholders

• Conduct literature reviews, including collation and synthesis of the literature

• Support the design, data collection, analysis and interpretation of qualitative interviews and focus groups

• Contribute to and lead (where appropriate) protocol, manuscript and report timely writing, editing and submission. 
• Present work for feedback and dissemination at workshops or conferences locally and/or internationally

The post holder will be expected to be flexible in their role as the CRiHSP´s capacity evolves.

NUS offers highly competitive remuneration packages. The successful applicant will be offered an annual salary plus benefits commensurate with his or her qualifications, experience and expertise and may have access to travel support to disseminate research outcomes at international academic conferences.

The position is full-time for 1 year in the first instance, depending on project commitments and candidate’s career objectives.

Job Responsibilities

The Research Associate will have the following duties:

• Contribution to the management of research activities including grant and IRB/DSRB applications, budgeting, planning and monitoring project timelines and generally support project management and coordination and liaising with internal and external stakeholders
• Conduct literature reviews, including collation and synthesis of the literature
• Support the design, data collection, analysis and interpretation of qualitative interviews and focus groups
• Contribute to and lead (where appropriate) protocol, manuscript and report timely writing, editing and submission. 
• Present work for feedback and dissemination at workshops or conferences locally and/or internationally

The post holder will be expected to be flexible in their role as the CRiHSP´s capacity evolves.

NUS offers highly competitive remuneration packages. The successful applicant will be offered an annual salary plus benefits commensurate with his or her qualifications, experience and expertise and may have access to travel support to disseminate research outcomes at international academic conferences.

The position is full-time for 1 year in the first instance, depending on project commitments and candidate’s career objectives.

Qualifications

About you

Applicants will be evaluated based on the following selection criteria:

Qualifications

• Masters in Life Sciences, Health & Social Sciences

Experience

• Experience in planning, managing and implementing healthcare-related research projects, from conception to completion, in a University setting (essential)

• • Demonstrated experience in using a range qualitative research methods (essential)
  • Track record of publishing in international peer-reviewed journals (desirable)
  • Researchers with existing research activities related to Value Based Health Care, patient reported outcomes or patient reported experiences of care are particularly encouraged to apply

Skills and Personal Attributes:

• • Strong communication skills in English, both written and spoken (essential)
  • Ability to work independently and as part of a multidisciplinary team (essential)
  • Highly developed problem-solving skills and adept at managing complex problems (essential)
  • Outcome-orientation with excellent organizational and project management skills, and attention to detail (essential)
  • Ability to work with culturally diverse populations (essential)

Interested candidates should submit a detailed CV (personal particulars, academic and employment history, full list of publications, contacts details of three (3) referees) and cover letter outlining their motivation and suitability for the project addressing each of the criteria outlined above to this job portal. Only shortlisted candidates will be notified. Applications will be considered on a rolling basis until a suitable candidate is found.

The application should include a CV and a cover letter that describes the applicant’s specific interest in joining the team. Only shortlisted candidates will be contacted.

Informal enquiries can be made to Prof Jose M Valderas at jmvalderas@nus.edu.sg.

Skills

Skills and Personal Attributes:

• • Strong communication skills in English, both written and spoken (essential)
  • Ability to work independently and as part of a multidisciplinary team (essential)
  • Highly developed problem-solving skills and adept at managing complex problems (essential)
  • Outcome-orientation with excellent organizational and project management skills, and attention to detail (essential)
  • Ability to work with culturally diverse populations (essential)

Interested candidates should submit a detailed CV (personal particulars, academic and employment history, full list of publications, contacts details of three (3) referees) and cover letter outlining their motivation and suitability for the project addressing each of the criteria outlined above to this job portal. Only shortlisted candidates will be notified. Applications will be considered on a rolling basis until a suitable candidate is found.

The application should include a CV and a cover letter that describes the applicant’s specific interest in joining the team. Only shortlisted candidates will be contacted.

Informal enquiries can be made to Prof Jose M Valderas at jmvalderas@nus.edu.sg.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Department-of-Materials-Science-and-Engineering%29/33184-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Perform research in high-throughput operando imaging

Qualifications

The successful candidate should possess the following:
•    A PhD in Materials Science, Chemical Engineering, Chemistry, Physics, or related fields
•    Highly motivated, committed, and capable of working independently as well as collaboratively
•    Strong publication record in peer-reviewed journals
•    Good communication skills in English (both written and oral)
•    Prior experiences with the following will be a plus
•    Optical instrumentation, single-molecule/ super-resolution microscopy, magnetic/optical tweezers, ultrafast spectroscopy, or other in-situ operando imaging tools
•    Machine learning for materials discovery or quantitative image analysis, DFT calculations for catalyst design, experiences with MATLAB / Python / AutoCAD / COMSOL
•    Organic synthesis, polymer chemistry, synthesis of inorganic nanomaterials, micro/nano-fabrications, genetic engineering of microorganisms
•    Techno-economic analysis of sustainability technologies

For postdoctoral fellows, compensation and benefits package will be internationally competitive (including annual base salary, performance-based bonus, medical insurance and vacation leave), and will be commensurate with experiences and qualifications. 

Interested candidates are encouraged to email a copy of CV (with a list of publications), reprints of three selected publications, as well as contact information of 2-3 references to the NUS Career Portal.

Job Description and Requirements:

Job Description:

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The candidate will conduct research on AI-driven drug discovery, with a focus on target-guided molecular generation, protein–ligand interaction modeling, molecular property prediction, and structure-based design of small molecules and peptides. The appointee will develop and evaluate deep learning models, integrate molecular representations with protein structural information, perform computational screening and benchmarking, prepare manuscripts, and contribute to collaborative research projects within the lab.

Qualifications:

PhD in computer science, informatics, pharmacy, computational biology, medicinal chemistry, or a closely related field. Strong experience in deep learning, molecular property prediction, drug–target affinity prediction, virtual screening, molecular docking, and structure-based drug discovery. Proficiency in Python and deep learning frameworks such as PyTorch is required. Experience with RDKit, Schrödinger, AutoDock Vina, AMBER, molecular simulation, Linux/HPC workflows, and AI-driven drug discovery platforms is highly desirable.

Job Summary
As a Senior Postdoctoral Scholar, you are expected to establish a computational pipeline to achieve catalyst prediction for CO2 electrocatalytic reduction reactions.

This is a multi-step approach, where first DFT will be used to understand reactions, then explore the use of machine learning potentials towards kinetic and large length scale/time scale simulations and eventually integrate into the experimental workflow.

You will be based in at the BEARS Consortium in Singapore at CREATE and will work in a highly collaborative environment as part of the AxCIS team in Singapore, addressing challenges at the interface of materials chemistry, high-throughput synthesis, artificial intelligence, and robotic automation.

Duties & Responsibilities:

• Perform electronic structure calculations on bulk, surfaces, nanostructures as necessary.
• ⁠Develop AI/ML models to predict materials reactions using data-driven approach.
• ⁠Develop codes as necessary to assist existing and new code frameworks for advanced property prediction and analysis.
• ⁠Analyze and present results in meetings or conferences.
• ⁠Disseminate research outputs through high-impact publications, presentations, and data releases in accordance with open science practices.
• ⁠Collaborate with experimental team members, including partners in academia, industry, and national laboratories.
• ⁠Mentorship of junior team members, which can include undergraduate and graduate students.

Qualifications:

• PhD in a relevant discipline (e.g. Chemistry, Materials Science and Chemical Engineering).

Other Desired Qualifications / Experiences / Skills:

• >5 years Post-PhD experience
• Expertise in Artificial Intelligence/Machine Learning models
• Expertise in density functional theory calculations for catalysis applications

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Senior-Research-Scientist-%28Cancer-Science-Institute%2C-Prof-Ashok's-Lab%29/33179-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Duties & Responsibilities

•    Participate, coordinate, planning and executing research programme  
•    Supervising team of up to 5 researchers
•    Manage project deadlines, reporting and presentations internally and to external stakeholders

Requirements

• PhD with 3 years’ relevant post-doctoral experience
• Possess a strong track record of research achievement evidenced by high-quality publications in a relevant field
• Have a high-level experience in hands-on use of a wide range of relevant research methods including molecular and cell biology, somatic cell genetics, protein & nucleic acid biochemistry, advanced fluorescence microscopy and flow cytometry
• Able to work independently and creatively to solve experimental problems
• Have an effective communication and presentation skills, with experience in communicating scientific work including scientific papers, presentations and reports

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-AssistantAssociate-%28Food-Science-&-Technology%29/33173-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Professor Zhou Weibiao on nutritional profile analysis and in vitro digestion of food materials under a project on alternative proteins, funded by the Singapore Food Story R&D Programme 2.0.

The main responsibilities of the position include:
The candidate shall join a multidisciplinary team at NUS to support the development of plant-based meat products with improved digestibility, nutritional quality, and functionality. This position will focus on establishing an advanced in vitro digestion approach to evaluate protein digestibility and conduct comprehensive nutritional profile analysis of alternative protein products.

In addition, he/she will help supervise final year undergraduate projects.

Qualifications

• Qualifications / Discipline:
B.Sc. (for Research Assistant appointment) or M.Sc. (for Research Associate appointment) in Food Science, Food Technology, or a closely related field from an internationally reputable university

• Skills:
Strong wet laboratory and analytical skills
Demonstrated capability of independent researcher
Good team player
Good scientific writing skills

• Experience:  

Research experience with good track record, including:
(1) hands-on experience in food analysis,
(2) lab safety and maintenance, 
(3) report preparation,
(4) working experience in a cross-disciplinary team.

Working experience with antinutrients analysis and/or in vitro digestion is highly desirable.

This position is only open to Singaporeans and Singapore Permanent Residents. 

Interested applicants are invited to apply directly at the US Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Department-of-Materials-Science-and-Engineering%29/33183-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Perform research in neuromorphic computing devices.

Qualifications

The successful candidate should possess the following:
•    A PhD in Materials Science, Chemical Engineering, Chemistry, Physics, or related fields
•    Highly motivated, committed, and capable of working independently as well as collaboratively
•    Strong publication record in peer-reviewed journals
•    Good communication skills in English (both written and oral)
•    Prior experiences with the following will be a plus
•    Optical instrumentation, single-molecule/ super-resolution microscopy, magnetic/optical tweezers, ultrafast spectroscopy, or other in-situ operando imaging tools
•    Machine learning for materials discovery or quantitative image analysis, DFT calculations for catalyst design, experiences with MATLAB / Python / AutoCAD / COMSOL
•    Organic synthesis, polymer chemistry, synthesis of inorganic nanomaterials, micro/nano-fabrications, genetic engineering of microorganisms
•    Techno-economic analysis of sustainability technologies

For postdoctoral fellows, compensation and benefits package will be internationally competitive (including annual base salary, performance-based bonus, medical insurance and vacation leave), and will be commensurate with experiences and qualifications. 

Interested candidates are encouraged to email a copy of CV (with a list of publications), reprints of three selected publications, as well as contact information of 2-3 references to the NUS Career Portal.

Job Summary
We are seeking a hands-on postdoctoral researcher at BEARS under AxCIS Project (AI xploration of Catalysis with Inorganics and Surfaces) in Singapore. This project uses AI and laboratory automation to develop integrated pathways for producing chemicals and fuels in a holistic approach to decarbonization. This role centers on integrating an LLM-driven agentic platform for electrocatalyst discovery and developing novel machine-learning algorithms (e.g., reinforcement learning) for materials discovery and process optimization. You will work closely with multidisciplinary team and  architect and ship end-to-end, closed-loop workflows that connect instruments, edge devices, data backends, and AI agents.
Duties & Responsibilities

• Integrate instruments and IoT devices with reliable drivers/APIs; build autonomous/robotic testing workflows.
• Design LLM agents for planning, tool-use, and experiment control with safety interlocks.
• Develop and deploy RL/BO/active learning for closed-loop optimization.
• Build data pipelines, dashboards, and provenance; analyse and present results.
• Publish in peer review Journals and conferences, and coordinate with sponsors/collaborators.

Qualifications

• Ph.D.  in Computer Science/ Electrical Engineering/ Robotics/ Chemical Engineering /Mechnical Engineering or related.
• Strong in Python, with experience with hardware and software integration (serial/TCP/IP, MQTT, API).
• Practical ML background, including RL/BO; Docker/Linux/Git familiarity.
• Track record in automation or autonomous labs; good communication and collaboration skills.

Scope of Responsibilities and Deliverables 

1. Oversees and coordinates ecosystem activities for quantum computing and technologies:

1. Supports the Executive Director of the National Quantum Office in developing and executing a go-to-industry strategy that will support the growth of a vibrant quantum ecosystem in Singapore.
2. Leads the National Quantum Office’s response to key companies interested to deepen collaboration on Quantum with our national-level quantum programmes such as the National Quantum Computing Hub, and coordinate with the Singapore’s ecosystem to secure stakeholders’ support.
3. Maintains a positive and productive relationship with partners, resolving partnership and technical issues on behalf of the Executive Director.
4. Provides industry domain expertise and advice to the Executive Director on industry and enterprise development aspects for quantum technologies.
5. Represents the Executive Director at various stakeholder platforms on ecosystem development matters.

Requirements

1. At least 10 years of working experience in a similar capacity, with background in science or engineering and an understanding of quantum technologies.
2. Good communication (written and verbal) and interpersonal skills for good relationship management.
3. Strong problem solving, analytical and systems thinking abilities
4. Resourceful and independent
5. Able to work collaboratively with internal and external stakeholders

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

The driving force behind our success has always been the people of AspenTech. What drives us, is our aspiration, our desire and ambition to keep pushing the envelope, overcoming any hurdle, challenging the status quo to continually find a better way. You will experience these qualities of passion, pride and aspiration in many ways — from a rich set of career development programs to support of community service projects to social events that foster fun and relationship building across our global community.

The Role

As a member of the Customer Success organization, this role is responsible for coordination and administration of training classes for APAC region. The Customer Training Coordinator manages all training class logistics and activities to ensure the students have an excellent experience with AspenTech training.

Your Impact

• Schedule training classes
• Maintain current and accurate data and statuses for all Training Class and Student Registration records
• Capture accurate and complete information in our Customer Relationship Management (CRM) system
• Collaborate with other AspenTech departments (e.g. Sales, Customer Service) to quickly handle customer training inquiries
• Provide a high level of customer service to external and internal customers
• Prepare and distribute class status reports to the management team
• Prepare proposals to sell training classes
• Manage all class logistics.  Ensure training manuals, software licenses and any other needs are delivered prior to class start
• Manage off-site facility rental in other cities.  Coordinate lunch catering to classes when needed.
• Work with other departments to ensure customers are properly set up invoicing/billing within the CRM system
• Invoice students accurately and in a timely manner
• Participate in other business improvement projects and assignments as required
• Interact with customers directly through chat or phone.
• Greet customers in our Singapore training facility and set up rooms, keep drinks and snacks stocked.

What You'll Need

• Minimum 2 years of experience working in a customer facing role in a fast-paced high-tech environment
• Liaising with Mandarin-speaking clients and stakeholders in North Asia is a core part of this role; therefore, proficiency in Mandarin (spoken and written) is required.
• Additional language proficiency in Japanese or Korean is ideal.
• Proficient with Microsoft Office
• Excellent customer service and interpersonal skills
• Strong verbal and written communication skills
• Ability to work within deadlines.  Excellent planning, time management, organizational skills