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Amazon.com Posted 4 months ago

Are you energized to create new markets for Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) technology? Do you love building new businesses?



Amazon Web Services (AWS) is the pioneer and recognized leader in Cloud Computing. Our web services provide a platform for IT infrastructure in-the-cloud that is used by hundreds of thousands of developers and businesses around the world. These customers range from start-ups to leading web companies to Global 2000 companies. AWS customers are looking for ways to change their business models, innovate and solve complex business challenges with artificial intelligence (AI) and machine learning (ML) technologies in the cloud. AWS is leading the way in providing customers with a broad portfolio of AI & ML services from ML services, such as Amazon SageMaker to AI services (Vision, Languages or Applied Services).



AWS is seeking a seasoned AI/ML Principal Specialist to help us scale our artificial intelligence/ machine learning business and work directly with the most interesting and demanding customers to understand their requirements and turn them into reality.



Your responsibilities will include identifying market opportunities, building sales initiatives, and managing a healthy sales pipeline focused on driving revenue, adoption, and market penetration.



The ideal candidate will possess both a business and sales background that enables them to support 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 architects. He/she 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 while driving change.



Responsibilities:

· Build and execute a strategic go to market plan for target markets in line with the AWS strategic direction

· Drive revenue and market share for AWS AI/ ML services

· Meet or exceed quarterly and annual revenue targets

· Build and drive a robust sales pipeline

· Work with partners to drive adoption of the AI/ ML solutions.

· Collaborate with key internal stakeholders to scale impact (e.g. solution architect, product service teams, legal, support, etc.)

· Incubate new AWS Machine Learning and Artificial Intelligence services and scale existing AWS services

· Represent AWS on AI/ML at public events or blogs

· Work with senior management team on market and sales strategy, AI/ML service roadmap, and initiatives to scale impact





Basic Qualifications

· 7-10+ years of technology-related sales or business development experience

· 3+ years direct field experience working with customers

· 3+ years working domain experience in machine learning, artificial intelligence, or related technologies

· Experience in cloud-based technologies

· BA/BS degree or equivalent experience

· Strong verbal and written communications skills in English



Preferred Qualifications · AI/ML certificates or diploma

· Knowledge of Big Data businesses and technical concepts

· Experience working with technology customers and partners

· Fluent in Swedish, Finish, Norwegian and/or Danish is a plus

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.



By submitting your resume and application information, you authorize Amazon to transmit and store your information in the Amazon group of companies' world-wide recruitment database, and to circulate that information as necessary for the purpose of evaluating your qualifications for this or other job vacancies.



Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy/eu ) to know more about how we collect, use and transfer the personal data of our candidates.



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