Easter Seals Jobs

Description

As a Cloud Intelligence (CI) Specialist SA, you will build tooling to analyze solutions in the fast changing cloud market. You will use your technical knowledge to own and drive projects that align to current products in development, to ensure internal team members can leverage product outputs. We are looking for technical builders who love to think big and drive strategic initiatives to better enable field teams in navigating the cloud ecosystem.

The AWS Cloud Intelligence team is a specialty services organization that provides cloud compete expertise globally. We are subject matter experts (SMEs) covering top and emerging competitors, key domains, and industry segments. Cloud Intelligence enables field teams to help their customers quickly by removing both business and technical blockers in the sales cycle. We advise account teams and their customers through at scale content, gather and analyze insights surrounding comparable cloud providers, and highlight product and position gaps that our customers are experiencing to continuously improve AWS’ overall value proposition. In addition to on-demand self-service resources, the CI team provides targeted support for specific competitive opportunities through one-to-one customer engagements. This team hires SAs and BDMs who are SMEs in one or more public clouds to advise AWS field teams on the best strategies to develop compelling business cases to support customers co-existing and partnering with competing public cloud services.

This individual understands workloads and their requirements to run in the public cloud, and has the builder skills needed to own and drive CI projects forward utilizing AWS services and generative AI. You should have demonstrated the ability to communicate with cross-functional teams and think strategically about the complex business and technical needs of the customer. You should have a natural learn and be curious mindset, and be able to quickly analyze situations by asking the right questions.

Key job responsibilities

• Understand the business and technical requirements of our customers, partners, and AWS salesforce.

• Build cross-functional tooling to help scale competitive knowledge and content across the AWS field.

• Utilize generative AI knowledge to build/pilot proof of concept projects, using AWS services.

• Effectively use Foundation Models available on Amazon Bedrock and Amazon SageMaker to meet our performance needs.

• Interact with our internal customers directly to understand the business problem, help and aid them in implementation of their ML ecosystem.

• Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes.

• Work hands on to build scalable cloud environment for our customers to label data, build, train, tune and deploy their models.

• Collaborate with our engineers to build robust and scalable Generative AI solutions for business problems.

• Presentation and written communication skills; high degree of comfort with technical and executive audiences.

A day in the life

We have a team culture that encourages innovation, and we expect team members and management alike to have a high degree of ownership for their product vision and execution. Besides a strong product management background, the right candidate will have experience successfully working with engineering, data and science teams, building on cloud and working on distributed systems, delivering deeply technical products, and building a product team. We are looking for someone that is a self-starter, approaches complex business problems with data, curiosity and critical thinking, and works backwards from the customers.

About the team

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

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.

Work/Life Balance: We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture: Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

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.

AWS is committed to a diverse and inclusive workplace to deliver the best results for our customers. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status; we celebrate the diverse ways we work. For individuals with disabilities who would like to request an accommodation, please let us know and we will connect you to our accommodation team. You may also reach them directly by visiting please https://www.amazon.jobs/en/disability/us

Basic Qualifications

• Bachelor's degree

• 3+ years of design, implementation, or consulting in applications and infrastructures experience

• 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience

• Experience leveraging and building products using AWS machine learning, generative AI, ETL, etc. services and using databases in a business environment with large-scale, complex datasets.

Preferred Qualifications

• Experience working with AWS technologies from a dev/ops perspective

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.