Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming
The AI team within AWS is responsible for setting the AI strategy and delivering machine learning services across multiple segments and requirement to AWS customers. Today, the team delivers multiple services such as Transcribe, Comprehend, Lex, and Translate as well as ML Engines and Platform as a Service. AI is playing an important role in improving customer experience in several domains such as contact centers, media and entertainment, and healthcare. As an AI/ML BDM for Amazon Transcribe in Europe, you will be responsible for defining, building and deploying effective and targeted programs to accelerate broad based sales and business development activities for the Amazon Transcribe and Contact Lens. With a focus on adoption and customer success, you'll collaborate with AWS field, marketing, solutions architects, business development teams to develop and drive growth strategies with a data-backed understanding of customer success patterns.
You will work directly with customers on a daily basis to help them select the right speech to text technologies. Your work will define and drive the process that the organization follows to accelerate sales and partner engagements for Amazon Transcribe and Contact Lens in Europe and you will synthesize data and information gathered from these customers and partners into the AWS GTM (Go To Market) strategy for machine learning to successfully commercialize the platform in Europe. This entails deriving succinct findings, developing strategic insights, and persuasively communicating those findings and perspectives from customer engagements to product and sales teams, including senior management. You will be part of the larger product leadership community at AWS. This community plays a critical role in the broad business planning, working closely with senior executives to develop business targets and resource requirements, and influences our long-term technical and business strategy. You will be seen as the subject matter expert for your area of focus within Amazon AI.
The ideal candidate will possess a business and machine learning or data analytics background, and will have a foundation of having directly driven customer engagements and interactions at the highest levels of large enterprises and technology partners. The candidate will have the technical depth and business experience to easily communicate the benefits of AI/ML services, platforms and frameworks in the AWS cloud to IT architects, engineering teams, and C-Level executives.
Additionally, the ideal candidate will have a demonstrated ability to think strategically and long-term in an ambiguous environment. The ideal candidate will be deeply familiar with complex legacy IT environments, managed enterprise IT infrastructure services, enterprise applications, and will have performed market analysis, deal negotiation and construction, field readiness, and business operations. Finally, the candidate will have a background that enables them to create scalable programs that apply holistic approaches to selling to enterprises and enterprise partners
Key job responsibilities
BASIC QUALIFICATIONS
PREFERRED QUALIFICATIONS
Amazon Web Services, Inc. (AWS) is a subsidiary of Amazon providing on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis. These cloud computing web services provide a variety of basic abstract technical infrastructure and distributed computing building blocks and tools. One of these services is Amazon Elastic Compute Cloud (EC2).
Canberra ACT, Australia
2-4 year
Sydney NSW, Australia
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
Shenzhen, Guangdong Province, China
2-4 year
Shenzhen, Guangdong Province, China
2-4 year
Berlin, Germany
2-4 year
Dublin, Ireland
2-4 year
Dublin, Ireland
2-4 year
Dublin, Ireland
2-4 year
Tel Aviv, Israel
2-4 year
Tel Aviv, Israel
2-4 year
Tel Aviv, Israel
2-4 year
Tel Aviv-Yafo, Israel
2-4 year
Bangalore, Karnataka, India
2-4 year
Bangalore, Karnataka, India
2-4 year
Gurgaon, Haryana, India
2-4 year
Gda?sk, Poland
2-4 year
Bay Area, CA, USA
2-4 year
Cupertino, CA, USA
2-4 year
Arlington, VA, USA
2-4 year
Arlington, TX, USA
2-4 year
Arlington, VA, USA
2-4 year
Arlington, VA, USA
2-4 year
United States
2-4 year
Arlington, VA, USA
2-4 year
Arlington, VA, USA
2-4 year
Austin, TX, USA
2-4 year
Bellevue, WA, USA
4-6 year
Ballston, NY, USA
2-4 year
Berlin, MD, USA
2-4 year
Bellevue, WA, USA
2-4 year
Bellevue, WA, USA
2-4 year
Boulder, CO, USA
2-4 year
Cambridge Street, Boston, MA, USA
2-4 year
California, USA
2-4 year
Charlotte, NC, U.S.
2-4 year
Charlotte, NC, USA
2-4 year
Charlotte, NC, USA
2-4 year
Chicago, IL, USA
2-4 year
Chicago, IL, USA
2-4 year
Chicago, IL, USA
2-4 year
Cupertino, CA, USA
2-4 year
Denver, CO, USA
2-4 year
East Palo Alto, CA, USA
2-4 year
East Palo Alto, CA, USA
2-4 year
Florida City, FL, USA
2-4 year
Herndon, VA, USA
2-4 year
Irvine, CA, USA
2-4 year
Minneapolis, MN, USA
2-4 year
New Jersey, USA
2-4 year
Pasadena, CA, U.S.
2-4 year
Pittsburgh, PA, USA
2-4 year
Pasadena, CA, USA
2-4 year
Portland, OR, USA
2-4 year
Portland, OR, USA
2-4 year
San Diego, CA, USA
2-4 year
San Francisco Bay Area, CA, USA
2-4 year
Santa Clara, CA, USA
2-4 year
Santa Clara, CA, USA
2-4 year
Santa Clara, CA, USA
2-4 year
Santa Monica, CA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, Washington, USA
2-4 year
Seattle, Washington, USA
2-4 year
Seattle, Washington, USA
2-4 year
Seattle, Washington, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Sunnyvale, CA, USA
2-4 year
United States
2-4 year
United States
2-4 year
United States
2-4 year
United States
2-4 year
Virginia Beach, VA, USA
2-4 year
Washington D.C., DC, USA
2-4 year
Washington D.C., DC, USA
2-4 year
East Palo Alto, CA, USA
2-4 year
Florida, USA
2-4 year
Santa Clara, CA, USA
2-4 year
Santa Clara, CA, USA
2-4 year
Santa Clara, CA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
United States
2-4 year
United States
2-4 year
United States
2-4 year
United States
2-4 year
Cape Town, South Africa
2-4 year
Austin, TX, USA
2-4 year
Chicago, IL, USA
2-4 year
Dallas, TX, USA
2-4 year
Detroit, MI, USA
2-4 year
Houston, TX, USA
2-4 year
Minneapolis, MN, USA
2-4 year
Nashville, TN, USA
2-4 year
Phoenix, AZ, USA
2-4 year
Salt Lake City, UT, USA
2-4 year
Tempe, AZ, USA
2-4 year
London, UK
2-4 year
United States
2-4 year
Herndon, VA, USA
2-4 year
Washington D.C., DC, USA
2-4 year
Vancouver, BC, Canada
2-4 year
Bellevue, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Santa Clara, CA, USA
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
4-6 year
Dallas, TX, USA
2-4 year
London, UK
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
2-4 year
Vancouver, BC, Canada
2-4 year
Boston, MA, USA
2-4 year
United States
2-4 year
Cupertino, CA, USA
2-4 year
Austin, TX, USA
4-6 year
Vancouver, BC, Canada
10-12 year
San Francisco, CA, USA
4-6 year
Toronto, ON, Canada
8-10 year
Washington D.C., DC, USA
2-4 year
San Francisco, CA, USA
4-6 year
Mono Hot Springs, CA, USA
4-6 year
Washington D.C., DC, USA
4-6 year