What are the responsibilities and job description for the Sr. Worldwide Specialist, Streaming, Data & AI GTM position at Amazon?
Description
We are seeking an accomplished Go-To-Market executive who can develop and execute innovative strategies to drive growth of our Streaming Data Services at a global scale, services that are increasingly critical as our customers look for real-time data to enable their AI use cases.
This is an exciting opportunity to shape the future of an emerging and fast growing space that will have a significant impact on our customer’s strategies. You'll be a part of our Worldwide sales organization, and you will identify and pursue new Analytics market opportunities, create and deliver sales programs that have broad revenue impact, expand strategic partner and distribution channels, and implement new solutions to help customers adopt AWS Streaming Data services. Close alignment with Amazon Kinesis Data Streams, Amazon MSK, Amazon Data Firehouse, and Amazon Managed Service for Apache Flink product management teams is required to translate technical product capabilities into business solutions that can create customer value across a variety of geographical and vertical markets.
Are you a motivated self-starter with an analytical mind? Do you want to work on the forefront of the latest innovations and technologies? Do you seek the opportunity to work with a diverse set of customers, opportunities and markets as part of a team focused on increasing adoption of Amazon Web Services on a global basis?
Come build the future with us.
About 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.
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
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
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 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.
Basic Qualifications
- 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 selling enterprise software or cloud-based applications
- Experience explaining complex technical concepts to various business and technical audiences
- Experience presenting to both technical and non-technical executive audiences
- Experience in data science, business analytics, business intelligence, or similar experience in big data environments
- Experience with problem solving and disruptive innovation, developing technology programs and working across customer organizations
- Experience engaging and presenting to senior executives (CXO level).
- Ability to think strategically and analytically about business, product, and technical challenges, with the ability to build and convey value propositions, and work cross-organizationally to build consensus.
- Experience in Apache Kafka
Preferred Qualifications
- Experience interpreting data and making business recommendations
- Experience identifying, negotiating, and executing complex legal agreements
- 5 years of segmentation and developing customer profiles experience
- A technical background in engineering, computer science, or MIS
- Experience selling broad Analytics capabilities
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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.
Salary : $133,200 - $220,200
