דרושים Aws Marketplace Manager Partner Team ב-אמזון ב-China, Beijing

Key job responsibilities
- Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc.We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

- 5+ years design and implementation experience with NoSQL technologies and Key-value stores such as ElastiCache, Aerospike, Redis, Memcached, including NoSQL data modeling.
- 3+ years software architecture and development experience using languages such as Java, Python, Go, and Node.js
- - A degree in computer science, software engineering, or mathematics or 10 years equivalent work experience.
- - Knowledge of the underlying infrastructure requirements such as Networking, Storage, and Hardware Optimization.
- - Demonstrated effectiveness working across multiple business units to achieve results.
- - An understanding of computing deployment models as they relate to databases and analytics.
- - Working knowledge of modern software development practices such as agile methodologies and DevOps.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

• Responsible for the over-all systems development life cycle.
• Management and execution against project plans and delivery commitments; Manage the day-to-day activities of the engineering team within an Agile/Scrum environment.
• Management of departmental resources, staffing, mentoring, and enhancing and maintaining a best-of-class engineering team.
• Work closely with the engineers to architect and develop the best technical design and approach.
• Report on status of development, quality, operations, and system performance to management.
Key job responsibilities
• Responsible for the over-all systems development life cycle.
• Management and execution against project plans and delivery commitments; Manage the day-to-day activities of the engineering team within an Agile/Scrum environment.
• Management of departmental resources, staffing, mentoring, and enhancing and maintaining a best-of-class engineering team.
• Work closely with the engineers to architect and develop the best technical design and approach.
• Report on status of development, quality, operations, and system performance to management.

- Bachelor's Degree in Computer Science or related field.
- 10+ years’ experience managing software development teams, ideally with some hands-on architectural or distributed systems experience.
- The key requirement for this position is established skill designing and developing complex, interactive end user experiences.

- MS, Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, etc.
- A strong track record of project delivery for large and cross-functional projects.
- Strong technical credentials and deep hands-on technical expertise on embedded systems.
- Development experience on mobile platforms such as Google Android, WebOS, Windows Mobile, Apple iPhone and RIM Blackberry.
- Excellence in technical communication with peers and non-technical cohorts.
- Ability to handle multiple competing priorities in a fast-paced environment.
- Excellent written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to a variety of audiences.
- A track record of communicating well with executives and non-technical leaders.
- Experienced on smart TV products.

Key job responsibilities
In this technical role, you will be developing the emerging Independent Software Vendors (ISVs) categorized in AI, Data, Business Application, Infra. You will co-build/co-market/co-sell with ISVs.You daily routine includes:Engaging the Partner's Technology, Sales & Marketing leaders to determine the best approach to co-build/co-sell/co-market.
Uplifting partner capability through workshops, player-coach.
Accelerating partner opportunities through architecture design/review, PoC, technical resolution.
Modernizing their architecture with AWS
Packaging and promoting partner solution.
Co-marketing their offering through Public Speaking/Blog/Workshop etc
Partnering with the counterparts the PDMs (Partner Development Manager) in Partner development planing, execution and reviews.
A day in the life
- Co-build solution with partner, so the solution could run on, could differentiate on AWS- C-market ISV solution through creating solution offering, advocating the solution through public speaking, workshops etcAbout the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 6+ years of IT development or implementation/consulting in the software or Internet industries experience
- 4+ years of design, implementation, or consulting in applications and infrastructures experience
- Knowledge of cloud architecture

*Hiring location: Beijing, Shanghai, Guangzhou, Shenzhen, Hong Kong(visa sponsorship provided)As a Senior Technical Account Manager (Sr. TAM) specializing in GPU Optimization in AWS Enterprise Support, you will play a crucial role in two key missions: guiding customers' GPU acceleration initiatives across AWS's comprehensive compute portfolio, and spearheading the development of optimization strategies that revolutionize customer workload performance.Key Job Responsibilities
- Design and optimize GPU resource usage on EC2/EKS/SageMaker or equivalent cloud compute, container, and ML services; implement node pool tiering, Karpenter/Cluster Autoscaler tuning, auto scaling, and cost governance (Savings Plans/RI/Spot/ODCR or equivalent).
- Drive GPU partitioning and multi-tenant resource sharing strategies to reduce idle resources and increase overall cluster utilization.- Build GPU observability and monitoring systems (nvidia-smi, CloudWatch or equivalent monitoring tools, profilers, distributed communication metrics) to align capacity planning with SLOs.
- Ensure compatibility across GPU drivers, CUDA, container runtimes, and frameworks; standardize change management and rollback processes.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 5+ years in cloud technical support, solutions architecture, or customer success management, with at least 3 years of hands-on experience in GPU/accelerated computing platforms.
- In-depth understanding of GPU instance families (e.g., AWS G/P/H series) or similar offerings from other cloud providers, AMI/driver/CUDA/container compatibility management, and cloud storage/network performance tuning (e.g., S3 I/O, EBS/Instance Store equivalents, preprocessing pipelines). Proficient in scheduling GPU workloads with EKS or equivalent Kubernetes-based orchestration services, including node pool tiering, resource quotas, elastic scaling, and auto-recovery strategies. Experienced in multi-GPU/multi-node distributed computing (NCCL, topology awareness, tensor parallelism, pipeline parallelism) with expertise in communication optimization for large-scale AI training and inference.
- Skilled in PyTorch/TensorFlow performance analysis and optimization, including DataLoader tuning, mixed precision, operator fusion, and inference acceleration toolchains (ONNX, TensorRT, CUDA Graphs).
- Experienced in cost and capacity governance, familiar with Savings Plans, RI, ODCR, Spot, Capacity Blocks, and right-sizing strategies or their equivalents in other cloud platforms.
- Demonstrated cross-functional communication and influence skills, capable of driving technical solutions with data and business objectives.

- AWS Solutions Architect Professional, Machine Learning Specialty, or DevOps Professional certification or equivalent credentials from other cloud providers.
- Hands-on experience with NVIDIA ecosystem software and toolchains (CUDA/cuDNN/NCCL, TensorRT, CUDA Graphs) and proven ability to maintain performance consistency across versions and platforms.
- Delivered quantifiable performance improvements (GPU throughput, latency reduction, cost savings) with demonstrated benchmarking and regression testing methodology.
- Proven repeatable optimization results in LLM inference, batch AI training, real-time video processing, or high-performance computing (HPC).
- Contributions to open source projects (Run:ai, Ray, vLLM, DeepSpeed, Kubeflow, etc.) or published technical articles, whitepapers, or performance benchmarking.
- Experience with Infrastructure as Code (Terraform, AWS CDK **or equivalent cloud development frameworks**), Helm Charts, baseline container image management, and DevOps automation.
- Able to present performance-business tradeoffs and results to senior stakeholders using PR/FAQ documents, architecture diagrams, and capacity/cost reports.

Key job responsibilities• Facilitate Working Backwards workshops with customer executive groups. Lead and coordinate translation of those solutions into working cloud prototypes, working with relevant engineering and services teams, and partners where appropriate.
• Build value propositions/ business cases. Train & enable local sales teams to help qualify customers, and – in some cases – lead elements of the digital innovation engagement. Effectively track and articulate the value of engagements underway, and major wins.
• Share knowledge effectively across the WW team. Help develop and improve the Innovation & Transformation engagement model based on engagement experience. Work with the Partner team to identify, engage and enable partners who can accelerate our approach to digital innovation and transformation.
• Conduct customer briefings, present at customer events, further AWS solutions-led thought leadership in the innovation domain.About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 3+ years of business development, partnership management, or sourcing new business experience
- Bachelor's degree or equivalent
- Experience using data and metrics to determine and drive improvements

- Experience in online advertising or high-tech products/services

岗位职责 (Key Job Responsibilities):
• 参与零售电商企业高层的深入沟通并提供行业战略咨询服务（如云计算、 AI和数据战略规划）以推动行业解决方案的推广。
• 支持业务团队一起开发和维护重要行业客户关系，利用行业Know How和专业技术经验，加速客户的数字化转型及生成式AI转型
• 引领零售电商客户对于新业务/新技术的共创和落地。能力要求 (Key Requirements):
• 12年以上零售或电商行业经验，深入洞察行业发展趋势和解决方案
• 具备组织层面的战略制定经验，能够影响企业客户领导层业务和技术决策
• 跨团队合作协调能力，云技术能力和学习能力
Key job responsibilities
Your responsibilities will include engaging with key industry customers, engaging strategic industry partners, attending and speaking at industry events, leading the process to enable industry CDP/Digital Marketing/Data Analysis solutions, and create significant new business opportunities for AWS. You will enable the AWS BD teams selling to industry accounts to drive their day-to-day interactions with key prospects. You will work closely with AWS Solutions Architects to develop and promote cloud patterns and solutions for CDP/Digital Marketing/Data solution, including partner based solutions etc. You will work closely with the AWS product and services teams to help evolve AWS offerings for more rapid adoption by retail and CPG customers.Roles & Responsibilities:
• Serve as a key member of the Business Development team to drive overall AWS CDP market and technical enablement strategy.
• Define and execute on a strategic market development plan in partnership with key internal stakeholders (e.g. BD teams, SA/ISA Team, product teams, marketing, partner team, legal, support, etc.).
• Identify and engage key customers, and key partners including ISVs and system integrators to drive the adoption of AWS CDP/industry solution.
• Build business development pipeline by engaging with key prospects and partners. •Understand the technical requirements of our customers and work closely with the internal development teams to guide the direction of our SCM offerings for the Manufacturing industry.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 5+ years of developing, negotiating and executing business agreements experience
- 5+ years of professional or military experience
- Bachelor's degree
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience managing programs across cross functional teams, building processes and coordinating release schedules

Every day will bring new and exciting challenges on the job while you:- Make recommendations on AI architecture, security, cost optimization, and operational excellence- Complete analysis and present periodic reviews of AI workload performance- Foster an ecosystem where AI and humans progress together through knowledge sharingDiverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- Master's degree in Computer Science, Artificial Intelligence, Machine Learning or related technical field
- Deep understanding of Generative AI fundamentals, Large Language Models, and core AI/ML concepts
- Excellent theoretical foundation in AI technologies and their underlying principles
- Excellent empirical reasoning skills with ability to formulate theories, make predictions, validate and refine solutions

- PhD in Computer Science, Artificial Intelligence, Machine Learning or related field
- Demonstrated ability to build systematic knowledge frameworks across technology stacks
- Experience with implementing enterprise-scale AI/ML solutions
- Experience with AWS core services across Compute, Storage, Database, and Networking
- Knowledge of cloud architecture patterns and distributed systems, cloud security principles and compliance frameworks
- Experience with container technologies and serverless architectures, modern software development practices and DevOps
- Excellence in stakeholder management and technical communication