AI/ML Specialist Leader

Amazon Web Services, Inc.
Santa Clara, CA
30+ days ago

Job Description

  • The right person will be analytical, and possess 10-15 years of enterprise IT selling and/or business development with hosted, managed or preferably cloud managed machine learning or data analytics technologies;
  • 5+ years managing high performance sales, business development, technology alliances or product teams in a technology industry;
  • Solid enterprise negotiation skills;
  • Strong 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 machine learning or data analytics markets and insights related to ML, analytics, cloud computing, databases and/or IT;
  • Strong verbal and written communications skills are a must, as well as leadership skills.
  • Demonstrated ability to work effectively across internal and external organizations is key
Basic Qualifications
  • The right person will be analytical, and possess 10-15 years of enterprise IT selling and/or business development with hosted, managed or preferably cloud managed machine learning or data analytics technologies;
  • 5+ years managing high performance sales, business development, technology alliances or product teams in a technology industry;
  • Solid enterprise negotiation skills;
  • Strong 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 machine learning or data analytics markets and insights related to ML, analytics, cloud computing, databases and/or IT;
  • Strong verbal and written communications skills are a must, as well as leadership skills.
  • Demonstrated ability to work effectively across internal and external organizations is key
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? Are you excited to build and manage your own team of high performing business development and specialized sales professionals seeding new markets for ML platforms? Are you passionate about customer success?
AWS is seeking a Head of Machine Learning Sales & Business Development in the Americas to define, build and lead the business development efforts at AWS to commercialize services in the Amazon machine learning platform. As a senior leader on the AWS Artificial Intelligence and Machine Learning (AI/ML) team that is responsible for defining, building and deploying effective and targeted programs to accelerate broad based sales and business development activities for new AWS services, you will lead the team in the Americas region.

You will define the go to market strategy (GTM) for the AWS machine learning platform and lead your team of BD Managers and Specialized Sellers to execute that vision. The team defines and drives the process that the organization follows to accelerate sales and partner engagements for ML deployments. Your team’s work will directly help our customers to reinvent their own business models by harnessing the power of machine learning technologies. The BDMs on the team synthesize data and information gathered from these customer and partner engagements into the AWS GTM strategy for machine learning that will successfully commercialize the services that make up the ML business. 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. The Head of ML Sales & Business Development will oversee this process across the portfolio of ML services and ensure that the team sets the proper GTM strategies and then implements the mechanisms to successfully track and execute that GTM.

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 ML services, 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 has done market analysis, deal negotiation and construction, and business operations. The candidate will have a background that enables them to create scalable programs that apply holistic approaches to selling to enterprises and enterprise partners. Finally the candidate will have experience managing high performance teams, ideally across virtual or geographical disperse teams.

Roles & Responsibilities:
  • Manages the team of AWS ML Sales & Business Development Managers bringing Amazon ML services to market;
  • Engages the team to define, build and deploy enterprise focused sales and business development campaigns around the ML platform;
  • Engages, supports and scales business development and sales teams across AWS to be capable of delivering the AWS machine learning platform & ML value propositions to enterprise customers and partners;
  • Drives the team to engage and drive scale at engaging enterprise customers and partners directly on Amazon ML services;
  • Proactive ability and expertise in setting customer discussions via AWS sales and partner teams;
  • Cloud managed services, machine learning and/or data analytics expertise and is experienced handling and scaling teams selling these technologies to enterprises and enterprise partners;
  • Exhibits expertise and drives field and partner readiness for enterprise customers;
  • Engages in senior level customer meetings to discuss customer’s business issues and explores how the AWS machine learning stack can help address and resolve these issues;
  • Serves as an evangelist for the Amazon ML platform within AWS, and externally;
  • Develops a standard market intelligence framework and dynamic analytic model to be utilized by the AWS sales, business development and marketing teams;
  • Brings the various stakeholders together to help build collective mindshare in augmenting the AWS machine learning platform;
  • Establishes ways to measure and track metrics related to adoption of services within the Amazon ML platform and to make improvements to the approach based on those measurements;
  • Prepares and gives business reviews to the senior management team regarding progress and metrics.
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have twelve 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 14 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. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future

  • · 10-20 years of business development, enterprise sales, strategic partnerships, and program management experience with machine learning or data analytics technologies;
  • Experience selling to Fortune 50 and/or Global 500 organizations;
  • Business level experience with machine learning platforms;
  • Experience working in startups or other rapidly changing environments building net new businesses;
  • Management consulting, professional services or other experiences mapping customers’ business requirements to technical solutions;
  • Have spoken at industry events on machine learning technologies or other technical topics;
  • Experience with cloud computing and or related fields (IT, software, etc);
  • MBA or equivalent relevant business experience.
  • Meets/exceeds Amazon’s leadership principles requirements for this role
  • Meets/exceeds Amazon’s functional/technical depth and complexity for this role
  • This position must be located at one of our U.S. AWS Corp. offices. 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-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

Source

https://www.indeed.com/jobs

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