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Sales - Enterprise Education Field Engineering Manager South Asia jobs at Apple in Singapore
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109 jobs found
26.08.2025
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Apple Sales - Technical Data Analyst Singapore
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Description:
- Act as a primary point of contact for production support of our business data systems and ETL pipelines.
- Proactively monitor system performance, data loads, and pipeline health to identify and resolve issues before they impact our business users.
- Investigate, troubleshoot, and perform root cause analysis for system failures, data discrepancies, and performance bottlenecks.
- Develop and enhance operational tools, dashboards, and automated scripts (primarily in Python and SQL) to improve system monitoring and support efficiency.
- Collaborate closely with Engineering Program Managers (EPMs), data engineers/SWEs, QA, and product managers to ensure system stability and resolve complex issues.
- Document technical issues, solutions, and failure scenarios to build a robust knowledge base for the team.
- Respond to inquiries from business users regarding data availability and system issues in a timely and professional manner.
- 4+ years of hands-on experience in a data-centric role with a strong emphasis on production support, data engineering, or a similar field.
- BS or MS in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Excellent problem-solving and analytical skills, with the ability to work independently in a fast-paced, dynamic environment.
- Strong verbal and written communication skills, capable of explaining technical issues to both technical and non-technical partners.
- A collaborative, team-oriented mindset with a passion for ensuring high-quality data and system reliability.
- Proficiency in advanced SQL, including performance tuning and writing complex queries.
- Experience with scripting languages for automation and ETL development, particularly Python (Shell or Golang is a plus).
- Solid understanding of relational databases (e.g., Postgres, Oracle, Snowflake) and data warehousing concepts.
- Hands-on experience working with and maintaining ETL pipelines and workflow management tools (e.g., Airflow).
- Familiarity with version control systems (Git) and CI/CD practices.
- Experience with cloud platforms (AWS, Google Cloud) and working with APIs is beneficial.
- Familiarity with Big Data technologies (e.g., Spark, Hadoop, Hive) is a plus.
- Exposure to AI/ML tools for operational monitoring or data analysis is a plus.
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25.08.2025
A
Apple Sales - Education Government Engagement Specialist South Asi... Singapore
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Description:
In this role, you will:- Drive market share and revenue via Education Government leaders to ignite learning outcomes and priorities, across markets in South Asia.- Design and implement education government sales strategies from end to end.
- 7+ years of experience in education technology sales, policy and system change, education technology research, senior education leadership in education technology or governmental affairs related to education technology.
- Good knowledge of the K-12 or higher education market, preferably across multiple countries.
- Bachelor's degree required.
- Experience in business development or sales, preferably in a large tech company.
- Master's degree or Doctorate preferred.
- Proactive; takes initiative and challenges the status quo.
- Excellent presentation and storytelling skills with the ability to motivate and inspire others.
- Experience working in a matrixed global organisation across timezones.
- Strong team player with dynamic confidence in an education environment.
- Proven track record in engaging with government leaders in multiple markets.
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25.08.2025
A
Apple Sales - Data & Insight Manager Southeast Asia Singapore
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Description:
* Lead and develop a team of data analysts based in Singapore, providing guidance, support and mentorship* Define strategy & vision for the Data & Insight team in the areas of analytics, reporting and AI/ML* Act as business partner to Sales leaders; engage regularly to understand opportunities and challenges* Form a deep understanding of Apple Sales business, and support business decisions by translating complex data insights into clear, actionable strategies* Supervise or directly manage projects to create new reports and dashboards supporting the business, or roll-out WW reporting solutions in our region* Define South-East Asia Sales AI/ML roadmap and build up capabilities within the team* Develop partnership with Apple IT team and keep on point on latest in-house technology* Act as a liaison with WW Data & Insight teams to facilitate communication and knowledge sharing* Own and manage portfolio of data management and sales ops processes run by the team
- Experience in the retail industry
- 12+ years of experience in data & insight, reporting, data analysis, business intelligence or similar positions - with 5+ years in a manager position
- Solid business acumen, with proven ability to understand various business situations effectively and make sound judgments and decisions
- Extensive data management skills, including but not limited to data analysis, data modeling, database management, data governance, and proficiency with tools such as SQL, Excel or Tableau
- Experience with AI/ML models and their application in data management and insights generation
- Ability to prioritize, plan, delegate and implement strategies, programs and projects successfully
- Proven people management skills, building capabilities of individuals and team through effective employee development, involvement, communication and mentorship
- Exceptional communication and presentation skills
- Experience with UI/UX development, including data visualisation design
- Experience with programming/scripting languages, such as Python
- Foundational understanding of AI/ML technologies, including data pipelines, model development, and deployment workflows; familiarity with modern ML tools, frameworks, and platforms is plus
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24.08.2025
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Apple Sales - Regional Change Management Lead SEA Singapore
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Description:
- Conduct detailed impact assessments and readiness analyses to advise strategic transformation roadmaps.
- Design and implement end-to-end change management strategies, integrating process improvements with people-centric adoption plans.
- Develop and deliver compelling communications, training programs, and partner engagement strategies tailored for regional Channel Sales teams.
- Cultivate and empower a network of change champions and key partners to drive adoption and sustain behavioral change.
- Lead comprehensive business process analysis, mapping current state workflows, identifying inefficiencies, and recommending optimized solutions for Channel Sales operations.
- Collaborate closely with global teams, regional leadership, and project managers to embed change activities into project lifecycles.
- Proactively identify, mitigate, and manage resistance, issues, and risks associated with change initiatives.
- Define, track, and report on key performance indicators and success metrics to measure the effectiveness and return on investment of transformation efforts.
- Provide expert consultation and coaching to project teams and regional leaders on change methodologies and process improvement best practices.
- BA/BS degree in Business, Organizational Development, Industrial/Organizational Psychology, or a related field.
- 7+ years of experience in business process analysis, re-engineering, or operational excellence roles, ideally within a retail environment.
- Demonstrated expertise in leading large-scale organizational change initiatives.
- Proven ability to analyze complex processes, identify root causes of inefficiencies, and design practical, scalable solutions.
- Exceptional communication, presentation, and influencing skills, capable of engaging and building rapport with diverse stakeholders from front-line teams to senior executives.
- Strong analytical and problem-solving abilities, with a data-driven approach to decision-making.
- Experience integrating change management activities into project and program plans.
- Ability to thrive in a multifaceted, fast-paced, and often ambiguous environment, managing multiple priorities effectively
- Master's degree in a relevant field.
- Familiarity with retail management processes (e.g., account management, partner enablement, demand generation, etc.).
- Experience working in a regional role as part of a global organization.
- Certification in change management (e.g. Prosci) or process improvement (e.g. Lean Six Sigma Green/Black Belt).
- Experience with agile delivery models.
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24.08.2025
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Apple Sales - Principal AI Scientist Singapore
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Description:
The role requires expertise in a wide range of modeling techniques, from traditional ML and optimization to advanced transformer-based architectures and LLM-powered components, applied to real-world, high-impact problems.
- Model Development: Design and implement machine learning models, including traditional ML, optimization, deep learning, reinforcement learning, graph neural networks, and generative AI, to address business challenges in customer acquisition, engagement, and retention.
- Algorithm Innovation: Develop novel algorithms and optimization techniques to solve complex problems, ensuring scalability and performance in production environments.
- Model Validation: Invent and implement robust validation strategies to ensure model accuracy, reliability, and generalizability, leveraging both quantitative metrics and qualitative insights.
- Data Processing: Work with large-scale datasets, utilizing advanced data processing techniques to extract meaningful insights and prepare data for modeling.
- Productionization: Deploy and maintain machine learning models in production, ensuring high performance, scalability, and reliability.
- Multi-Functional Collaboration: Partner with sales, engineering, analytics, and other teams to align ML solutions with business objectives and integrate them into user-facing systems.
- Continuous Improvement: Stay abreast of the latest advancements in AI/ML and propose innovative approaches to enhance existing solutions.
- Professional Experience: Minimum of 10 years of professional experience in machine learning, artificial intelligence, data science, or related fields, with a proven track record of delivering impactful ML solutions in industry settings.
- Educational Background: Advanced degree (Master’s or Ph.D.) in Computer Science, Data Science, Operations Research, or a related field, or equivalent professional experience.
- Operations Research Expertise: Strong background in operations research, with hands-on experience applying optimization techniques (e.g., linear programming, dynamic programming, combinatorial optimization) to solve complex, real-world problems in sales or related domains.
- Advanced AI/ML Knowledge: Deep understanding of machine learning principles, including supervised and unsupervised learning, deep learning, reinforcement learning, graph neural networks, and generative AI. Proficiency in practical implementation, hyper-parameter tuning, and performance optimization is essential.
- Algorithm Development: Exceptional ability to design and implement novel algorithms tailored to specific business needs, with a focus on scalability and efficiency.
- Validation Expertise: Proven ability to develop innovative validation frameworks to assess model performance, ensuring robustness and reliability in production environments.
- Python Proficiency: Exceptional programming skills in Python, with experience writing clean, efficient, and maintainable code. Familiarity with libraries such as TensorFlow, PyTorch, Scikit-learn, or similar is highly desirable.
- SQL Competence: Strong ability to write complex SQL queries to extract, transform, and analyze large datasets from relational databases.
- Multi-functional Collaboration: Excellent communication and collaboration skills to work effectively with diverse teams and translate business requirements into technical solutions.
- Experience with Large-Scale Systems: Practical experience building and deploying ML models at scale, with a focus on real-world applications.
- Experience with transformer-based architectures or large language models (LLMs) for personalization or other applications.
- Familiarity with cloud-based ML platforms (e.g., AWS, GCP, Azure) and distributed computing frameworks.
- Knowledge of sales and customer engagement processes, particularly in a global context.
- Ph.D. in Machine Learning, Computer Science, Mathematics, Operation Research, or a related field.
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24.08.2025
A
Apple Sales - Retail Program Deployment Manager South Asia Singapore
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Description:
The role is highly collaborative, requiring deep levels of cooperation and influential working relationships. The incumbent will partner with WW, regional and country teams, and external partner stakeholders to ensure the channel programs under their management are deployed effectively and in line with the requirements of the channel partner and the sales strategy.High level planning, tracking and management reporting associated with store roll-outs and forward deployments of stores are also important aspects of the role.
- 5-8 years of experience in retail marketing experience; or similar experience in trade marketing leading across diverse teams.
- You have a Bachelor’s degree or equivalent education.
- Excellent written, verbal communication and presentation skills.
- Proficient in Keynote, Pages/Word, and Excel.
- Strong business acumen, commercial competences and experience in working with distributors, retailers and resellers.
- You keep current on retail technology trends, merchandising trends and in-store opportunities
- Outstanding and validated capacity to successfully balance multiple concurrent projects according to scope, budget and timeline
- Tried and tested ability to handle lead and co-ordinate site managers, sub-contractors, vendors and all associated resources involved in project delivery.
- Demonstrated excellence in project management with understanding of financial planning, budget management, branding and scalability.
- Perform well in high-pressure situations, and are comfortable in a fast-paced, sometimes ambiguous environment.
- Extensive practical experience in project management of store fit-outs and fixture installations in retail with a keen eye and passion in customer experience.
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04.08.2025
A
Apple Sales - Machine Learning Engineer NLP Singapore
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Description:
You will collaborate with cross-functional teams of business SMEs, engineers, data scientists, designers, and researchers. This role is exceptionally technical, and will require you to actively engage in all aspects of the work, from conceptualization and theoretical considerations to design, coding, and implementation.
- 5+ years building NLP/AI software professionally and successfully releasing to customers.
- 5+ years of industry experience building machine learning and deep learning based software applications.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning or related field; or
- M.S. in related field with 3+ years experience applying machine learning engineer to real business problems.
- Experience with state-of-the-art NLP algorithms and AI models, Multi-modal LLMs, Multi-modal contrastive learning, Foundation models, Diffusion based models and parameter efficient fine tuning of LLMs.
- Solid understanding of inference speed up techniques such as speculative decoding and optimization of LLMs for human preferences.
- A strong track record of shipping products and publications / patents.
- Strong understanding of Python, and related machine learning tools (e.g. TensorFlow, PyTorch, NLTK, spaCy, Keras).
- Excellent presentation, written and verbal communication, engagement and interpersonal skills along with validated skills in building great design.
Expand
Description:
- Act as a primary point of contact for production support of our business data systems and ETL pipelines.
- Proactively monitor system performance, data loads, and pipeline health to identify and resolve issues before they impact our business users.
- Investigate, troubleshoot, and perform root cause analysis for system failures, data discrepancies, and performance bottlenecks.
- Develop and enhance operational tools, dashboards, and automated scripts (primarily in Python and SQL) to improve system monitoring and support efficiency.
- Collaborate closely with Engineering Program Managers (EPMs), data engineers/SWEs, QA, and product managers to ensure system stability and resolve complex issues.
- Document technical issues, solutions, and failure scenarios to build a robust knowledge base for the team.
- Respond to inquiries from business users regarding data availability and system issues in a timely and professional manner.
- 4+ years of hands-on experience in a data-centric role with a strong emphasis on production support, data engineering, or a similar field.
- BS or MS in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Excellent problem-solving and analytical skills, with the ability to work independently in a fast-paced, dynamic environment.
- Strong verbal and written communication skills, capable of explaining technical issues to both technical and non-technical partners.
- A collaborative, team-oriented mindset with a passion for ensuring high-quality data and system reliability.
- Proficiency in advanced SQL, including performance tuning and writing complex queries.
- Experience with scripting languages for automation and ETL development, particularly Python (Shell or Golang is a plus).
- Solid understanding of relational databases (e.g., Postgres, Oracle, Snowflake) and data warehousing concepts.
- Hands-on experience working with and maintaining ETL pipelines and workflow management tools (e.g., Airflow).
- Familiarity with version control systems (Git) and CI/CD practices.
- Experience with cloud platforms (AWS, Google Cloud) and working with APIs is beneficial.
- Familiarity with Big Data technologies (e.g., Spark, Hadoop, Hive) is a plus.
- Exposure to AI/ML tools for operational monitoring or data analysis is a plus.
Expand
These jobs might be a good fit
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