דרושים Manager Partner Solution Architects Cybersecurity Gbits Core Tech ב-אמזון ב-United States, New York, New York

Key job responsibilities
- Originating content partner relationships
- Acquiring new channels

- Bachelor's degree
- 5+ years of professional or military experience
- 5+ years of developing, negotiating and executing business agreements experience
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience in the entertainment industry
- Experience managing partner relationships

- 6+ years of developing, negotiating and executing business agreements experience
- Experience interpreting data and making business recommendations

In this role, you will be responsible for building the process in which we engage our executives to meet with our customers. This role requires exceptional verbal and written communication skills, strong attention to detail and the ability to work backwards from ambiguous requirements to generate clear, concise communications that will be shared with our most senior executives. The right candidate is extremely data-driven, thrives in
a fast- paced, high-pressure entrepreneurial environment, and has proven experience
managing priorities and working effectively across a number of internal stakeholders.This role involves frequent engagement with AWS leadership and requires a candidate with executive presence, excellent interpersonal skills, and a proven ability to influence others. This is a hands-on-position, to be successful you must be willing to “roll up your sleeves” to drive the desired results.Key job responsibilities
• Work with field sales teams to create meaningful executive interactions with customers.
• Prepare executives for customer meetings and events.
• Build metrics, dashboards, and reporting mechanisms using Salesforce, Tableau, or other platforms to track activity and tie to outcomes.
• Create closed loop tracking to confirm follow-up and follow- through on customer engagements.
• Prepare enablement material for field sales team on best practices.
• Operate autonomously; drive end to end management of business goals.
• Shepherd special projects and initiatives from ideation, documentation to deployment.

Key job responsibilities
Design and implement programs that address specific startup and investor needsMeasure program effectiveness and iterate based on feedback and resultsAbout 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

- 10+ years in technology industry focused on startups/venture capital, with technical leadership background preferred
- Experience building and leading high-performing teams in fast-paced environments
- Proven ability to evaluate and guide early-stage and scaling companies
- Demonstrated success developing and executing business initiatives that drive measurable outcomes
- Bachelor’s degree in computer science, Engineering, or related technical field, or equivalent professional experience

- Startup founder, C-level executive, or venture capital investment experience with hands-on understanding of startup challenges and growth dynamics
- Advanced degree (MBA, MS, or PhD) in business, technology, or related field
- Experience leading teams through rapid scaling phases and organizational growth
- Strong analytical and technical assessment skills with ability to evaluate complex requirements and business models
- Commercial acumen in fast-growing technology businesses, including understanding of scaling challenges and go-to-market strategies
- Proven track record identifying, evaluating, and advising on emerging technologies and market trends
- Multi-domain technical expertise across areas such as AI/ML, cybersecurity, data analytics, or infrastructure technologies

We're a 2 pizza team moving fast to build a new agentic product from the ground up. If you are scrappy and bias for action is your favorite LP, you will fit right in. You will lead a team of applied scientists and software developers, driving the technical vision while fostering a culture of innovation and scientific excellence. You must be excellent at balancing business needs and strategic thinking with hands-on technical depth.We're prioritizing the following experience:
- Experience implementing reinforcement learning for autonomous agent behavior- Knowledge of personalization systems, recommendation engines, or dynamic content generation
- Production operational experienceAbout the team
Why AWSDiverse Experiences
Amazon 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.
Work/Life BalanceInclusive Team CultureMentorship and 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.

- PhD in Computer Science, Machine Learning, or related field
- 7+ years in applied research, with 3+ years of people management experience
- Track record of leading successful research projects and delivering business impact
- Strong publication record in top-tier conferences/journals (CVPR, NeurIPS, ICML, etc.)
- Experience managing technical teams in ML or AI
- Demonstrated ability to translate complex technical concepts to various audiences

- Demonstrated experience in AI agent architecture design, including decision-making frameworks and behavioral modeling
- Knowledge of multi-modal AI systems
- Experience in professional software development

Key job responsibilities
- Establish, manage, and grow strong senior-level relationships/partnerships with content providers
- Analyze partner performance to create partner-facing strategy presentations featuring data-driven recommendations, actionable insights and growth opportunities- Execute new deals and renewals, including negotiation, financial analysis, forecasting, technical requirements, and cross-department signoffsAbout the team
Prime Video Subscriptions, launched in 2015, allows Prime Video customers to subscribe to channels like HBO Max, Paramount+ Peacock, Apple TV, Starz, and Fox One, all without a cable subscription.

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

- 6+ years of developing, negotiating and executing business agreements experience
- Experience interpreting data and making business recommendations

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.In this role you will be capable of using GenAI and other techniques to design, evangelize, and implement and scale solutions for never-before-solved problems.Key job responsibilities
1. Lead end-to-end delivery of complex AI/ML engagements, from strategic planning through to pre-production deployment and optimization
2. Architect and implement advanced solutions leveraging AWS's AI/ML services, with particular focus on Generative AI using Amazon Bedrock and SageMaker
3. Provide technical leadership and mentorship to junior consultants while driving best practices across delivery teams5. Drive innovation in applied AI/ML, contributing to methodologies and reusable solutions across the practice
6. Influence customer AI strategy through technical expertise and industry insights8. Provide thought leadership in internal and external engagements
9. Support pre-sales activities to provide technical expertise and review project scoping and risksAbout 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

- Strong experience in building large scale machine learning or deep learning models and in Generative AI model development
- Experience in data and machine learning engineering and cloud native technologies
- Strong experience communicating across technical and non-technical audiences
- Strong experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigation

- Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science
- Knowledge of the primary AWS services (ec2, elb, rds, route53 & s3)
- Experience with software development life cycle (sdlc) and agile/iterative methodologies
- Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet

As a Partner Solution Architect at AWS, you will:
- Draw on your technical cloud and AI expertise to help partners develop joint solutions by leading substantive architectural discussions.
- Get hands-on building prototypes and demonstrations that communicate the functionality of AWS services.
The ideal candidate brings:
- An inclination to get hands-on with diverse technologies to deepen understanding and create working concepts.
- A broad and deep technical background that bolsters credibility when offering guidance to engineers and architects.
- Experience as a thought leader who can capture the attention of decision-makers through channels such as written publications, video, social media, and speaking engagements at industry conferences.30% travel is required.Key job responsibilities- Provide architectural guidance and recommendations on building applications efficiently and reliably on AWS.
- Influence solution providers in their development of strategies that will enable them to present their offering on AWS.
A day in the lifeDiverse ExperiencesAWS 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 GrowthWe’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

- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience

- Experience supporting ISV partners and programs
- Professional experience architecting/operating solutions built on AWS
- AWS Certification, eg. AWS Solutions Architect Associate
- Demonstrated experience developing enterprise application architectures to meet business requirements in complex environments
- Understanding of security, risk and compliance frameworks, disaster recovery, high availability architectures, hardware, operating systems and networking connectivity
- Large-scale systems integration involving on-premises technology and public cloud platform