Sr Data & AI Sales Specialist, US EDU & SLG

at Amazon in Chicago, Illinois, United States

Job Description

Description

As a specialist within Amazon Web Services, you will shape the future of the Data / AI and further establish Amazon as the leader in the cloud data & AI space

You will work directly with the most interesting and demanding customers in assigned customer segments to understand requirements and turn them into reality. You will use your business savvy to increase adoption of AWS data and AI services, develop programs, drive revenue and identify new opportunities.

Working hand in hand with our sales teams and solution architects, you will help deliver modern data and AI -driven solutions based on our platform of native services. Your in-depth technical background in analytics will help customers understand how to improve their businesses using the right services. Your excellent verbal and written communication skills will allow you build enablement tools and evangelize our platform with customers and valued partners.

You will possess both a business background that enables them to drive an engagement and interact at the CxO/VP level, as well as a technical background that enables them to easily interact with software developers and data architects. You should also have a demonstrated ability to think strategically and analytically about business, product, and technical challenges, with the ability to build and convey compelling value propositions, and work cross-organizationally to build consensus. A keen sense of ownership, drive, and scrappiness is a must.

Key job responsibilities

• Drive Data & AI modernization for large enterprise accounts to achieve value and mission outcomes

• Solution and data / AI platform sales focused on SLG/EDU mission domains (Health and Human Services, Justice and Public Safety/Transportation, Finance and Administration, K12, Higher Education/Research and Academic Medical Centers), ISV Data-driven applications, Data warehouse modernization, Data lake transformation and Business Intelligence activation

• Generate a plan to ensure broad Data & AI penetration into strategic AWS accounts

• Land new Data & AI workloads in existing AWS accounts and accelerate consumption for key accounts

• Dive deep on engaged opportunities and set forth a prescriptive plan to accelerate delivery of comprehensive native solution

• Focus on Generative AI use cases and how organizations can drive value

• Run localized enablement sessions, curated sales assets, leveraging customer propensity buy signals

• Support sales plays and 1: M motions for region / domain

• Build and maintain executive relationships with customers as the Data & AI SME (subject matter expert), influence long-term strategic direction, and act as a trusted advisor.

• Partner with customer key stakeholders for data vision and direction for the enterprise

• Provide leadership and guidance to sales teams, as SME

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.

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.

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.

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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Basic Qualifications

- 7+ years of direct sales or business development in software, cloud or SaaS markets selling to C-level executives experience

- 10+ years of business development, partner development, sales or alliances management experience

- Bachelor’s degree or equivalent

Preferred Qualifications

- Data engineering / data science / AIML technical knowledge with ability to go deep on concepts, frameworks, and architectures in data, analytics and/or AIML domains

- Experience in large enterprise customer facing roles.

- MBA, Computer Science, and/or Engineering/Math background highly desired; working knowledge of data engineering, data infrastructure practices highly desired.

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 $128,600/year in our lowest geographic market up to $212,600/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. This position is eligible for variable pay via a sales compensation plan. These plans pay according to achievement level against sales targets and/or business objectives. 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.