Principal Sales, Machine Learning ( ML / AI )

Job description

DESCRIPTION

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 in financial services, pharmaceuticals, and technology. AWS customers are looking for ways to change their business models and solve complex business challenges with artificial intelligence (AI) and machine learning (ML) technologies in the cloud and AWS is leading the way in providing customers with a broad portfolio of AI & ML services.

AWS is seeking a seasoned Enterprise Sales Representative to help us scale our artificial intelligence/ machine learning business. The AWS machine learning portfolio includes ML services, such as Amazon SageMaker, and AI services, including Amazon Transcribe, Amazon Rekognition, Amazon Comprehend and Amazon Lex. While the ML market is early in its maturity, most all customers are looking for ways to incorporate into their business to improve customer engagement, optimize operations, manage risk, and glean more insights from their data.

Your responsibilities will include building and managing a healthy sales pipeline focused on driving revenue, adoption, and market penetration. The ideal candidate will possess a proven track record and background that enables them to lead a sales effort that will include teaming with AWS Senior Enterprise Sales Representatives, Solutions Architects, Partners and engagements at the CxO level within the largest AWS accounts. The successful candidate will also possess a business background that enables them to drive an engagement and interact at the CxO/VP level, as well as a technical understanding that enables them to easily interact with developers, technical architects, and data scientists. 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.

Responsibilities:
· Drive revenue and market share for AWS AI/ ML services
· Meet or exceed quarterly and annual revenue targets.
· Develop and execute against a sales plan.
· Maintain a robust sales pipeline.
· Work with partners to extend reach & drive adoption of the AI/ ML solutions.
· Manage contract negotiations along with the core sales organization.
· Develop long-term strategic relationships expand use of AWS AI/ML across all business units.
· Ensure customer satisfaction.
· Expect moderate travel.

PREFERRED QUALIFICATIONS

· Graduate degree in a highly quantitative field (Computer Science, Machine Learning, Operations Research, Statistics, Mathematics, etc.)
· 5+ years of industry experience in predictive modeling and analysis
· Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relationships
· Consulting experience and track record of helping customers with their ML/AI needs
· Publications or presentation in recognized Machine Learning, Deep Learning and Data Mining journals/conferences ·
· Past and current experience writing and speaking about complex technical concepts to broad audiences in a simplified format
· Experience giving public presentations

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

Amazon.com is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.

Desired profile

BASIC QUALIFICATIONS

· 10+ years of technology related sales or business development experience.
· BA/BS degree or equivalent experience required.
· 5+ years direct field experience working with enterprise accounts.
· 3+ years working domain experience in machine learning, artificial intelligence, or related technologies