United States, Washington, Ecommerce jobs
Amazon Applied Science Internship - United States United States, California, San Francisco
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NOTE: This position shall primarily support second shift operations (~1430hrs - 2230hrs). In future, there may be rotation with first shift operations.Key job responsibilities
- Actively support and foster a culture of inclusion.
- Own Process optimization and cost reduction initiatives for sustaining processes.
- Perform critical process reviews including Risk and Hazard assessments.
- Development and Validation of processes specific to NPI programs.
Benefits summary:1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
- Bachelor’s degree in Mechanical Engineering, Industrial Engineering or related discipline.
- 5+ years’ experience in manufacturing environment and knowledge of GMP.
- Experience with Project Management tools.
- Experience in New Product Introduction environment including Phase-Gate process experience.
- Experienced CAD user, demonstrated capabilities in AutoCAD and SolidWorks.
- Experience using industry Problem Solving Tools such as 8D, Fishbone/Cause-Effect, or CAPA methodology.
- Experience using Quality & Statistical tools such as PFMEA, control charting, pareto, and histograms.
- Experience and proven skill in written and verbal business communications, organizational communications, reporting metrics.
Preferred Qualifications
- MBA or advanced Engineering degree preferred.
- Proven ability to manage and deliver projects with accelerated schedules.
- Proven analytical approach to problem-solving.
- Experience in manufacturing / process improvement (eg. Lean-Six Sigma).
- Experience with Manufacturing Execution Systems (MES), ERP systems, and Tool / Equipment programming.
- Self-motivated and able to solve problems independently and in team settings.
- Experience with Process Optimization Tools including Programming, Mapping, Simulation or various algorithms.
These jobs might be a good fit
Amazon Applied Science Internship - United States United States, California, San Francisco
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Key job responsibilities
- Develop novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of LLMs and generative AI for robotics
- Tackle challenging, groundbreaking research problems on production-scale data, with a focus on robotic perception, manipulation, and control
- Are enrolled in a Bachelor's degree or above
- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Can relocate to where the internship is based
- Experience programming in Java, C++, Python or related language
Preferred Qualifications
- Have publications at top-tier peer-reviewed conferences or journals
- Experience in designing experiments and statistical analysis of resultsPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
These jobs might be a good fit
Adidas SENIOR MANAGER ECOMMERCE PARTNERSHIP & CONFIRMED APP United States, Colorado, Denver
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- Operations & Optimization
- Fully responsible for the dailyoperationof Confirm App, ensuring stable, efficient, and secure operation to deliver a seamless digital experience for consumers.
- Develop and execute data-driven, refined operational strategies (including user activation, retention, re-engagement, and conversion) to significantly improve key KPIs such as user engagement, conversion rates, average order value, and customer lifetime value.
- Monitor and analyse user behaviour data, collaborating closely with data analysis and user research teams to conduct A/B testing and optimize user experience, driving product iterations and feature enhancements.
- New Business Development & Project Management
- Proactively identify market trends, consumer insights, and emerging technologies to lead strategic innovation projects (e.g., Partnerships, Made for You), strengthening the brand leading position in market.
- Partnerships Focus:
- Explore, evaluate, and establish strategic partnerships with potential collaborators (Brands, IPs, Platforms, Companies) to build an ecosystem.
- Lead negotiations to define scope, rights, commercial terms, and shared goals.
- Serve as the project lead, coordinating effectively across departments: working with product teams on product selection and pricing, marketing on campaigns and activations, and finance on profit models.
- Work with CDH team to define and implement system features.
- Draft, review, and manage contractual agreements, ensuring legal and compliance standards are met.
- Develop detailed project plans and timelines, managing the entire lifecycle from concept to launch, ensuring flawless execution.
- Oversee full project management, from concept, feasibility analysis, business case development, to launch and post-implementation review.
- Coordinating resources across multidisciplinary teamstoachieve business target.
- Internal Collaboration & Knowledge Sharing
- Serve as the central hub for the e-commerce business and partnership projects, ensuring seamless communication across functions such as IT, Marketing, Merchandising, CS, and Legal.
- Share best practices, market trends, and project experiences within the team, fostering growth and innovation to enhance overall business capabilities.
- Networking & Collaboration
- Build network of internal and external partners to understand and connect future internal strategy with partners, consumer and technological trends that will inform growth opportunities and strategic brand priorities.
- Leverage and maintain a highly effective network of agencies, startups, digital leaders, and alternate innovation models (accelerators, incubators, matchmakers, etc) to source innovations and augment the knowledge, skills, and capacity of the internal team to deliver on our innovation mission.
Key Relationships:
- Digital team
- adidas Brand & Brand Activation teams
- CRM team
- Legal team
- Internal Controller team
- External agencies
Knowledge, Skills and Abilities:
- Bachelor’s or master’s degree required, with solid years in consumer industry with at least +8 years in eCom business
- Proven experience in working with.com/platforms
- Proven experience in managing projects and cross-functional teams
- Ambitious and results & profit oriented.
- Excellent communication and leadership skills, with the ability to manage cross-functional teams.
- Maintains a positive outlook,foster a resilient, can-do attitude in the face of challenges.
- Excellent English language skills.
These jobs might be a good fit
Amazon Fall Applied Science Internship - United States United States, Washington, Seattle
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Must be eligible and available for a full-time (40h/ week) 12 week internship between July 2025 and December 2025Key job responsibilities
- Develop novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of LLMs and generative AI for robotics
- Tackle challenging, groundbreaking research problems on production-scale data, with a focus on robotic perception, manipulation, and control
- Are enrolled in a PhD
- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Can relocate to where the internship is based
- Experience programming in Java, C++, Python or related language
Preferred Qualifications
- Have publications at top-tier peer-reviewed conferences or journals
- Experience in designing experiments and statistical analysis of resultsPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
These jobs might be a good fit
Amazon Software Development Engineer II eCommerce Services eCS United States, Washington, Seattle
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As an Amazon Software Development Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. You will find that there is an unlimited number of opportunities within Amazon, where developing your career across a wide range of teams is highly supported. We are committed to making your work experience as enjoyable as the experiences you’ll be creating for our customers.Role OverviewYou should have a demonstrated ability delivering within a DevOps delivery model from scoping requirements, requirement analysis, design, development, test, CI/CD, security implementation, and operational excellence with the ability to work cross-functionally with Product Managers, business stakeholders and other tech teams through the actual launch of the project. You should also have experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs.Benefits
• Competitive salary and equity compensation
• Comprehensive health, dental, and vision coverage
• 401(k) plan with company match
• Paid time off and parental leave
• Employee discount programKey job responsibilities
• Design, develop, and maintain scalable software solutions that meet business requirements and customer needs
• Lead technical solutions from conception through deployment, including architecture decisions and implementation strategies
• Participate in full software development lifecycle, including requirement analysis, design, development, testing, deployment, and operations
• Collaborate with cross-functional teams including Product Managers, Technical Program Managers, and other engineering teams
• Mentor junior engineers and contribute to improving team's technical practices
• Write high-quality, well-tested code following best practices and coding standards
• Participate in code reviews and contribute to technical documentation
• Drive operational excellence through monitoring, troubleshooting, and continuous improvementA day in the life
Work/Life Balance
Work Environment
Mentorship & Career Growth
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
Preferred Qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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Amazon Applied Science Internship - United States United States, Washington, Seattle
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A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. As an Applied Science Intern, you will own the design and development of end-to-end systems. You’ll have the opportunity to create technical roadmaps, and drive production level projects that will support Amazon Science. You will work closely with Amazon scientists, and other science interns to develop solutions and deploy them into production. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.
- Are enrolled in a Master's degree
- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Can relocate to where the internship is based
- Experience programming or scripting language like Python, Java, C or C++
Preferred Qualifications
- Have publications at top-tier peer-reviewed conferences or journals
These jobs might be a good fit
Amazon Fall Applied Science Internship - United States United States, California, San Francisco
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Must be eligible and available for a full-time (40h / week) 12 week internship between July 2025 and December 2025.Key job responsibilities
- Develop novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of LLMs and generative AI for robotics
- Tackle challenging, groundbreaking research problems on production-scale data, with a focus on robotic perception, manipulation, and control
- Are enrolled in a Bachelor's degree or above
- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Can relocate to where the internship is based
- Experience programming in Java, C++, Python or related language
Preferred Qualifications
- Have publications at top-tier peer-reviewed conferences or journals
- Experience in designing experiments and statistical analysis of resultsPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
These jobs might be a good fit
Share
NOTE: This position shall primarily support second shift operations (~1430hrs - 2230hrs). In future, there may be rotation with first shift operations.Key job responsibilities
- Actively support and foster a culture of inclusion.
- Own Process optimization and cost reduction initiatives for sustaining processes.
- Perform critical process reviews including Risk and Hazard assessments.
- Development and Validation of processes specific to NPI programs.
Benefits summary:1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
- Bachelor’s degree in Mechanical Engineering, Industrial Engineering or related discipline.
- 5+ years’ experience in manufacturing environment and knowledge of GMP.
- Experience with Project Management tools.
- Experience in New Product Introduction environment including Phase-Gate process experience.
- Experienced CAD user, demonstrated capabilities in AutoCAD and SolidWorks.
- Experience using industry Problem Solving Tools such as 8D, Fishbone/Cause-Effect, or CAPA methodology.
- Experience using Quality & Statistical tools such as PFMEA, control charting, pareto, and histograms.
- Experience and proven skill in written and verbal business communications, organizational communications, reporting metrics.
Preferred Qualifications
- MBA or advanced Engineering degree preferred.
- Proven ability to manage and deliver projects with accelerated schedules.
- Proven analytical approach to problem-solving.
- Experience in manufacturing / process improvement (eg. Lean-Six Sigma).
- Experience with Manufacturing Execution Systems (MES), ERP systems, and Tool / Equipment programming.
- Self-motivated and able to solve problems independently and in team settings.
- Experience with Process Optimization Tools including Programming, Mapping, Simulation or various algorithms.
These jobs might be a good fit
