Specialist BD, AI/ML, WWSO

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Job summary

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 transform their businesses and solve their own complex business challenges with machine learning (ML) technologies in the cloud. AWS is leading the way in providing customers with powerful, end-to-end machine learning platforms such as Amazon SageMaker.

Are you passionate about Machine Learning, Deep Learning, and scalable distributed systems? Are you passionate about developing impactful ML content and strategies? Are you passionate about engaging the Artificial Intelligence community (AI researchers, developers building ML-powered products, data scientists and ML entrepreneurs in startups and enterprises)?

AWS is seeking a Specialist BD for AI/ML. The Specialist BD will be responsible for defining, building and deploying effective and targeted programs to accelerate broad based sales and business development activities. The Specialist BD will be responsible for the promotion of AI/ML products in territory, and work closely across multiple internal and external organizations – AWS Field team, Marketing, Partners, and AI communities – to promote AWS AI/ML products for customers and partners. The Specialist BD will be directly helping customers to reinvent their own business models by harnessing the power of AWS AI/ML solution and products, and finally deliver result.

In addition, the Specialist BD will synthesize data and information gathered from these engagements into succinct findings, derive strategic insights, and persuasively communicate findings and perspectives to product and sales teams, including senior leadership. The Specialist BD will work with business development, sales and solution architecture teams to track, prioritize and close customer engagements that would benefit from the AWS AI/ML services, and collaborate and coordinate cross-functional teams around these engagements where appropriate.

The ideal candidate will possess a Technology and Business background. The candidate will have the technical depth and business experience to easily communicate the benefits of machine learning platforms and frameworks in the AWS cloud to IT architects, engineering teams, and C-Level executives. The ideal candidate will have a demonstrated ability to think strategically and long-term about the needs of complex global businesses. The ideal candidate will also be deeply familiar with complex legacy IT environments, managed enterprise IT infrastructure services, Enterprise applications, and would have done market analysis, deal negotiation and construction, business operations; and have a background that enables them to create scalable programs that apply holistic approaches to selling to customers and partners across different market segments.

Key job responsibilities

• Engage in Senior level customer meetings to drive AWS AI/ML adoption. Diving into customer’s business challenges and executing strategies on how the AWS AI/ML services can help address and resolve these challenges.
• Serve as an evangelist for the AWS AI/ML products within AWS and externally.
• Define, build and deploy enterprise focused sales and business development campaigns around the AWS AI/ML offering.
• -Engage, support and scale business development and sales teams across AWS to be capable of delivering the AWS AI/ML value proposition to customers and partners.
• Develop a standard market intelligence framework and dynamic analytic model to be utilized by the AWS Sales, Business Development and Marketing teams.
• Bring the various stakeholders together to help build collective mindshare in augmenting the AWS AI/ML products.
• Establish mechanisms to measure and track metrics related to adoption of the AWS AI/ML products, and execute improvements to the approach based on those measurements
• Prepare and deliver business reviews to the senior management regarding the AWS AI/ML business.

About the team

About Us

Inclusive Team Culture

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance

Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.

BASIC QUALIFICATIONS

• 8+ years of customer-oriented experience, including enterprise sales, pre-sales, or solution architect experience.
• 3+ years of AI/ML, or other related technology or product background.
• Knowledge of cloud, big data, and machine learning, with technical selling experience.

PREFERRED QUALIFICATIONS

• Experience with artificial intelligence or machine learning product selling.
• Knowledge of machine learning trends, typical scenarios, and common algorithms .
• Experience with one or more general purpose programming languages - Knowledge of cloud services, such as AWS, Azure, GCP, etc.
• Solid negotiation skills, and business and financial acumen.
• Strong analytical skills, and demonstrated ability to turn detailed data analysis into useful strategic insight in order to drive customer adoption and make appropriate recommendations to the business.
• Experience with, and detailed knowledge of managed services market and insights related to cloud computing.
• Demonstrated ability to work effectively across internal and external organizations is key.
• Experience writing articles (business and technical), speaking at technology conferences, or contributing to open source.