דרושים Startup Support Manager Ace Pmo ב-אמזון ב-United States, Seattle

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A day in the life

- B.S. in Computer Science or related field
- 5+ years as a software engineer
- 5+ years of engineering team management experience
- Proven track record in new hardware chip bring-up
- Deep knowledge of backend compiler architecture, including, lowering, control-flow management, DMA optimization, and code generation

- M.S. or Ph.D. in Computer Science or related technical field
- Experience with LLVM and LMIR
- Experience with deep learning models and algorithms.

In this role, you will drive data-driven decision making, establish efficient workflows, and manage complex problems with effective risk mitigation strategies. Strong communication skills are crucial, as you will interact with senior leadership and create various forms of documentation including strategic narratives and PR/FAQs. We're looking for someone who can foster an inclusive environment, mentor team members, and drive process improvements while maintaining operational excellence. Success in this position requires balancing tactical needs with strategic goals, making thoughtful trade-offs, and consistently improving team operational metrics. The ideal candidate will have a proven track record of building sustainable, high-performing teams and driving strategic initiatives while maintaining exceptional standards of operational excellence.Key job responsibilities
• Collaborate with internal teams or vendors to execute projects and resolve customer issues.
• Lead continuous improvement efforts.
• Audit the quality of work performed and provide constructive feedback when necessary.
• Participate in hiring, training and development of others.
• High attention to detail and capable of managing multiple priorities simultaneously.
• On-call for high-severity issues outside standard hours.
• Work with the team onsite in our corporate offices Monday-Friday.

- Bachelor's degree
- 5+ years of Information Technology (IT) experience
- 7+ years of IT Leadership experience

About Sponsored Products and BrandsKey job responsibilities
As an Applied Science Manager, you will:* Directly manage and lead a cross-functional team of Applied Scientists, Machine Learning Engineers, and Software Development Engineers.
* Develop science and engineering roadmaps for SPB ads response prediction with ML and Gen AI solutions, run annual planning, and foster cross-team collaboration on model development and integration to advertising applications.
* Hire and develop top talent, provide technical and career development guidance to scientists and engineers within and across the organization.
* Stay informed about recent scientific publications, industrial research trends, and system designs that are pertinent to the SPB advertising business and bring those insights with the team.

- 4+ years of applied research experience
- 3+ years of scientists or machine learning engineers management experience
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
- Experience programming in Java, C++, Python or related language

Application deadline: Dec 31, 2025In this role, you are able to take a defined set of tasks and execute it on schedule. You identify ineffective processes. You may identify when technical implementations have defects or are not highly available, performant, or maintainable. You understand operational risk and avoid taking unnecessary risks. You identify operational concerns and resolve, mitigate, or escalate the concerns in a timely manner.This is a shift work position. This team works 24/7 operations, and may require you to work some nights and/or weekends.This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.About the team
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.

- High school or equivalent diploma, or A+ or CND (Certified Network Defender) or Network+ or Security+
- 2+ years of systems administration (Linux or Windows) experience
- 2+ years of networking (such as DNS, DHCP, SSL, OSI Model, and TCP/IP) experience
- Experience troubleshooting and debugging technical systems, or experience in technical support
- Current, active US Government Security Clearance of TS/SCI with Polygraph

- Experience with internet fundamentals and cloud computing concepts
- Knowledge of databases, storage and big data concepts
- Experience with AWS core services, Command Console, or command line interface
- Experience with Virtualization (VMware, Xen, Hypervisor)
- Experience with security concepts and best practices
- Experience with IPsec, VPN, Load Balancing, Iperf, MTR, Routing Protocols, SSH, Network Monitoring / Troubleshooting tools Experience managing full application stacks from the OS up through custom applications

Explore the Product:
A day in the life
About this hiring group

- B.S. or M.S. in Computer Science or related field
- 5+ years of engineering team management experience
- Experience partnering with product management
- Strong knowledge of developing and/or managing simulation software
- Solid understanding of compilers (specifically, resource management, instruction scheduling, code generation, and compute graph optimization)

- M.S. or Ph.D. in Computer Science or related technical field
- Experience with and deep learning models and algorithms.
- Experience with LLVM, LMIR
- Interactions with open-source communities

Key job responsibilities
A day in the life
* Serve as the primary relationship owner for assigned partner(s), developing comprehensive partnership strategies and maintaining executive relationships
* Collaborate with Product, Engineering, and Business leaders across Amazon to define requirements and ensure successful execution of partnership initiatives
* Lead complex, multi-stakeholder negotiations for strategic technology partnerships, licensing agreements, and co-development initiatives
* Prepare and present business reviews to senior executives on partnership progress, strategic opportunities, and potential risks
* Drive "Think Big" strategies to identify next-generation technology opportunities across domains like AI, OS, Search.

- 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

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

We are seeking an exceptional Senior Applied Science Manager to lead key AI initiatives to ensure a perfect order experience for Amazon customers. In this role, you will spearhead the development of a domain specific large language model designed to comprehend complex seller behaviors and relationships. You will lead the research and implementation on LLM pre-training, fine-tuning and reinforcement learning for LLM reasoning. You will implement and influence ranker models that intelligently adjust product visibility based on risk signals and trust metrics.Key job responsibilities- Lead the end-to-end development of a domain specific LLM.
- Drive the development of large-scale pre-training and post-training strategies for the LLM using domain-specific datasets.
- Architect automated risk detection and treatment systems that combine multi-modal signals to identify product quality issues and implement optimization-based mitigation strategies.

- Strong communication skills with ability to translate complex technical concepts to various audiences
- Experience with LLM development, including pre-training, fine-tuning, and reinforcement learning
- Knowledge of search, ranking, or recommendation systems
- Experience with multi-modal ML systems combining text, image, and structured data