business process analyst, ww sales business transformation

administrative assistant, hardware technology

administrative assistant, platform apps & technologies

business process analyst, ww sales business transformation Jobs in Cupertino

consumer offer lead, ww sales Jobs in Cupertino

consumer offer lead, ww sales

us sales finance part analyst Jobs in Cupertino

us sales finance part analyst

consumer offer lead ww sales

Apple

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish! 
 
The people here at Apple don&rsquo;t just build products - they create the kind of wonder that&rsquo;s revolutionized entire industries. It&rsquo;s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it! 
 
Description 
 
Join our dynamic Product Operations team. We lead the Operations technical teams during the development of the next generation products. As the technical lead for a product line, you will partner closely with multi disciplinary teams during all phases of development to enable product success. 
 
In this position, you will have responsibility for products prior to launch, with the goal of enabling strong quality during the development cycle. This position partners with engineering, product development, reliability engineering operations, AppleCare, and component teams. Strong Quality engineering skills in technical, statistical knowledge, Failure analysis, Exec presentations, and program management experience are essential. 
 
To be a successful team member within Product Operations you will partner with the Operations technical team (DFx, DFm, Test, SQE, PQE and others) during product development and high volume production. As a technical advisor for the product line, you will partner closely with Engineering throughout the lifecycle of development to enable operational success through to mass production.&quot;,&quot;responsibilities&quot;:&quot;Support technical readiness for during program development cycle 
 
Drive project quality issues with material, process, fixtures, equipment etc. during the new-product phase to enable delivery of a mature product and manufacturing process into mass production 
 
Utilize DOE, FMEA, and other industry-standard tools to proactively identify and address risks and optimize process parameters 
 
Establish quality programs and process control plans for early detection of issues and to ensure the highest level of quality and reliability is consistently delivered 
 
Manage the Product Quality Plan (PQP), innovating as needed to ensure robust quality for new products 
 
Develop and implement new technologies to improve production quality, capacity, and efficiency 
 
Succinctly communicate technical updates to the executive team 
 
Own product quality strategy and execution 
 
Manage the quality processes at the OEMs, including Incoming Quality Control (IQC), Outgoing Quality Control (OQC), Ongoing Reliability Testing (ORT) 
 
Ensure contract manufacturers are prepared for pre-production builds 
 
Evaluate prospective suppliers regarding quality management 
 
Incorporate lessons learned from sustaining / shipping products into design and process improvements for next-generation products 
 
Work with commodity managers and supplier quality engineers to ensure component quality &amp; reliability; make recommendations to improve design/test 
 
International travel up to 25% 
 
Preferred Qualifications 
 
MS in Mechanical, Electrical, Industrial Engineering or equivalent 
 
Laser-focused on the smallest details and able to use data forensics to solve complex manufacturing assembly quality issues 
 
Proven experience in one or more of the following subject areas: New Product Introduction / Design Engineering / Manufacturing Operations consumer electronics 
 
Good understanding of electronic assembly processes 
 
Solid understanding of statistical analysis and production control processes 
 
Knowledgeable in data analysis and interpretation ; Tableau scripting and JMP scripting knowledge is preferred 
 
Experience partnering with international contract manufacturers in mass production; experience traveling to manufacturing sites 
 
Must be a self starter with innovation, integrity, and attention to detail 
 
Outstanding communications skills 
 
Minimum Qualifications 
 
BS in Mechanical, Electrical, Industrial Engineering or equivalent 
 
5+ years of experience is Quality Engineering in a Manufacturing setting 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $128,400 and $236,700, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Product Quality Manager - Home

The US Sales Finance PART (Process, Analytics, Reporting, and Technology) team is looking for a passionate and highly motivated technical Finance Analyst to support Apple's growth, top and bottom line. 
 
The PART organization exists to help the Sales Finance team operate at a higher altitude: working across process and systems to reduce manual work, build automated solutions, and unlock insights. Our experience with data foundations and process work positions us well to guide the Sales Finance organization through AI transformation. 
 
The PART team builds the library (building organized, curated information assets for Finance) and acts as librarians (subject-matter experts who guide partners to the right answer) for Sales Finance. 
 
Description 
 
This role sits at the intersection of finance, process, and technology. You will spend your time understanding how the US Sales Finance team works today and identifying opportunities to improve the data landscape, eliminate manual deliverables and streamline ad-hoc requests. 
 
From there, you will partner with engineering and data teams to deliver enterprise-quality solutions, or build technical solutions yourself. 
 
You will be hands-on where it helps: writing SQL to investigate a data question, contributing to our data ecosystem in Dataiku, building a Tableau dashboard or data source to surface important data to humans or systems, drafting requirements that engineering can build against. 
 
A solution only counts when it gets used. You will spend time training analysts on what you build, writing documentation, and answering questions across all tools and data, including what you build.&quot;,&quot;responsibilities&quot;:&quot;You will work directly with the US Sales Finance team to deeply understand business priorities and process. 
 
Champion process adoption through collaboration, documentation, and training. 
 
Own projects from initiation through delivery including planning and directing schedules. 
 
Set the standards and tools in which the Sales Finance team completes its work. 
 
Partner with technical teams to design and develop requirements into workable solutions and lead the solution for the Sales Finance organization. 
 
Preferred Qualifications 
 
Strategic &amp; tactical balance - consistent track record of leading cross functional projects, combined with the ability to implement tactical project-level activities. 
 
User-centered delivery - strong focus on delivering results that work for end-users within technical constraints. 
 
Business process fluency - ability to quickly learn the end-to-end business processes of a large, multi-function organization. 
 
Stakeholder communication - ability to clearly and effectively communicate and maintain relationships with a diverse group of internal partners, including representing business problems in terms of product requirements. 
 
Influence without authority - experience influencing technical teams through credibility and without direct authority. 
 
Finance background - comfort with financial modeling, accounting principles and scenario analysis. 
 
SQL / data analysis - comfort with Excel and SQL for ad-hoc analysis; experience working with large datasets in enterprise warehouses (Snowflake, BigQuery, or similar) a plus. 
 
Data management &amp; governance - understanding of data management best practices to ensure a sustainable and automation-ready data strategy. 
 
Data accessibility - Tableau or similar; ability to build dashboards or data sources that are usable to the business immediately. 
 
GenAI tooling - interest and experience with AI based tools to improve process, understand data, create documentation, and drive concrete value. 
 
AI landscape - strong curiosity about the latest AI developments and thoughtfulness about how to apply them in a governed Finance environment where accuracy is critical. 
 
Python - scripting for data manipulation, automation, and lightweight tooling (pandas, Streamlit). 
 
Workflow automation - Dataiku or similar low-code platforms, ability to convert manual Excel processes into repeatable pipelines. 
 
Minimum Qualifications 
 
5+ years of experience in finance-related business analysis, planning, strategy, and/or program and portfolio management roles. 
 
Bachelor's of Science (BS) or equivalent degree in Finance, Business Management, Computer Science, Engineering or a related field required. 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $137,900 and $207,300, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

US Sales Finance PART Analyst

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine 
learning accelerators and the Trainium-based servers that use them. As the SDM of Software Development for the Neuron Training team, you will be responsible for leading a strong team of engineers and managers to help design and deploy these new products. A successful candidate will have an established background in developing Machine Learning products with direct customer-facing experience, a strong technical ability and a motivation to achieve results. Experience in Machine Learning and software development is also a must. 
 
Responsible for the full development life cycle of our integrations and extensions for training support in Pytorch, JAX, and distributed training libraries with a focus on performance of latest ML models at scale on Trainium using latest techniques in performance optimization, accuracy, and resilience. 
 
you will lead the way to ensure support for key ML functionality in a combined chip / software platform, which will ensure the right thing is being built and delivered to customers 
 
Key job responsibilities 
<ul><li>Lead a team of engineers focused on enabling new ML training customers on the Neuron SDK / Trainium platform.
</li><li>Own the customer onboarding journey from model evaluation through production training at scale</li><li>Drive engineering initiatives to maximize Model FLOPS Utilization (MFU) for customer workloads through performance analysis, profiling, and tuning tools.
</li><li>Build and maintain tooling, automation, and documentation that accelerates time-to-first-training for new customer models.
</li><li>Partner with compiler, runtime, and framework teams to identify and resolve blockers in customer workloads.
</li><li>Develop scalable processes for distributed training enablement (FSDP, DeepSpeed, Megatron, custom parallelism strategies).
</li><li>Drive technical strategy for supporting frontier model architectures (LLMs, MoE, multi-modal) on Trainium.
</li><li>Build strong cross-functional partnerships with product management, developer relations, and customer-facing teams.
</li><li>Recruit, mentor, and grow a high-performing team of ML systems engineers.
</li></ul> 
A day in the life 
You will work with the executive leadership and other senior management and technical leaders to define product directions and deliver them to customers. We build massive-scale distributed training and inference solutions. This organization builds the full stack of software, servers and chips to accelerate at the highest scale. 
 
About the team 
About Us 
Inclusive Team Culture 
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon&rsquo;s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. 
 
Work/Life Balance 
Our team puts a high value on work-life balance. It isn&rsquo;t about how many hours you spend at home or at work; it&rsquo;s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. 
 
Mentorship &amp; Career Growth 
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we&rsquo;re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.</div><h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>Experience working with PyTorch or JAX software</li><li>3+ years of engineering team management experience</li><li>7+ years of working directly within engineering teams experience</li><li>3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience partnering with product or program management teams</li><li>3+ years of experience in deep learning / machine learning, including model training workflows</li><li>Experience with distributed training at scale (multi-node, multi-accelerator)</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware</li><li>Experience directly managing scientists or machine learning engineers</li><li>Experience debugging, profiling, and implementing best software engineering practices in large-scale systems</li><li>Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware, or experience with CUDA kernels or ML/low-level kernels</li><li>Experience with performance analysis, profiling, and optimization for deep learning training workloads</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Cupertino - 212,700.00 - 287,700.00 USD annually</div>

Software Development Manager, AWS Neuron SDK - Distributed Training

Explore 3+ Consumer offer lead ww sales in Cupertino this June. Find roles across top companies and apply now to boost your career.

3 consumer offer lead ww sales jobs In Cupertino

Product Quality Manager - Home

US Sales Finance PART Analyst

Software Development Manager, AWS Neuron SDK - Distributed Training