Easter Seals Jobs

Description

Join the WWSO (World Wide Specialist Organization) as a Generative Artificial Intelligence and Machine Learning (AI/ML) Go-to-Market (GtM) Specialist! As a Generative AI/ML Specialist, you will be at the forefront of driving adoption and revenue growth for Amazon Web Service's (AWS) cutting-edge Generative AI services. Your role will involve looking at industry trends, customer priorities, AWS Service capabilities to design, plan and execute GTM programs that lead to our customers adopting AWS Generative AI solutions to solve some of their most strategic problems.

You will own the full-cycle GTM programs, from identifying market-making opportunities, working with Field and Service teams to execute them.

You will maintain an in-depth knowledge of AWS's Generative AI services and relevant cross-functional areas. You will articulate AWS’ Gen AI strategy and the services we offer to accelerate these workloads. You will conduct executive conversations on the transformational possibilities of generative AI and data, while also helping our customers navigate which services to evaluate for their use-cases. You will describe the “why” and “what” of generative AI use case and technical solutions, with the detailed “how” being provided by solution architects.

Key job responsibilities

• Accelerate customer adoption by defining and implementing tech domain specific GTM strategies within your assign industry vertical and technology domain.

• Build and innovate: Co-Develop GTM motions on new product launches and work with product teams on the creation of innovative new services.

• Partner with the world’s biggest system integrators to deliver on customer projects.

• Spearhead market expansion by pinpointing new customer segments and Gen AI use cases

• Collaborate cross-functionally to continuously strengthen AWS's Gen AI value proposition

• Gather voice-of-customer insights to inform product roadmaps and enhance the customer experience

• Drives conversations to build credibility and earn trust with the account teams and customers.

A day in the life

Within WWSO, this position is a part of the Go-To-Market (GTM) Specialist team, where you will lead GTM strategy for AWS’ GenAI and Artificial Intelligence/Machine Learning services for US strategic customers. We create sales plays, leverage partners, and build new initiatives that drive results for our customers. We provide critical feedback from customers to inform our product roadmap, and work closely with our partner network to build an ecosystem supporting our customers’ goals. In emerging areas, we play a critical role as the “first in” teams to build markets for new services, domains, or solutions. When a customer needs to innovate and requires a new way to leverage AWS, they count on us to innovate with them to build and deliver what they need.

About the team

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.

The Worldwide Specialist Organization (WWSO) works backwards from customers to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses, and pride themselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.

Why AWS

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

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 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 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.

Basic Qualifications

• 5+ years of professional or military experience

• Bachelor's degree

• Experience developing strategies that influence leadership decisions at the organizational level

• 5+ years of experience in AI/ML and/or GenAI technologies.

Preferred Qualifications

• Experience interpreting data and making business recommendations

• Exceptional interpersonal and communication (both written and verbal) skills.

• Experience communicating with both technical and non-technical stakeholders across multiple teams, as well as internal and external executive stakeholders. ·

• Established track record of credibility as a technology advisor with customer executives (e.g. CEO, COO, CIO, CTO, CMO) and Line of Business Leaders.

• Experience and success in negotiating complex deals with customers and partners.

• Experience in a heavily matrixed sales environment, including developing, implementing, managing, and executing go-to-market growth initiatives and sales motions.

• Deep understanding of cloud technologies, including public and hybrid cloud platforms.

• Technical background in engineering, computer science, or MIS a plus.

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.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $133,200/year in our lowest geographic market up to $220,200/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.