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AWS - Sales Leader (Manufacturing - MFG)
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Job Description
- Req#: JR7678
Employer Industry: Applied AI and Big Data Services
Why consider this job opportunity:
- Opportunity for career advancement and growth within a rapidly expanding industry
- Dynamic work environment focused on innovation and personal development
- Engage with Fortune 2000 Manufacturing clients, driving significant business impact
- Collaborate with top-tier technology partners like AWS, NVIDIA, and Google Cloud
- Travel opportunities to client sites and industry conferences, enhancing professional exposure
- Recognized as a Great Place to Work for three consecutive years (2021, 2022, 2023)
What to Expect (Job Responsibilities):
- Drive high-impact sales campaigns targeting Fortune 2000 Manufacturing clients with substantial deal potential
- Establish yourself as the go-to authority for AI and digital transformation in the Manufacturing sector
- Manage and optimize the global Manufacturing sales pipeline to maximize revenue opportunities
- Design and deliver bespoke AI-powered solutions addressing critical challenges in Manufacturing
- Collaborate with AWS Business Unit Leadership to unlock exclusive co-selling opportunities
What is Required (Qualifications):
- Minimum of 10 years of experience in consultative selling to AWS, Azure, or GCP clients
- Proven track record in selling Cloud and AI technology services to the Manufacturing industry
- Strong ability to originate and close complex six- and seven-figure service engagements
- Excellent understanding of modern manufacturing IT architectures and digital transformation strategies
- Bachelor's degree in Business, Finance, Engineering, or a related field; MBA or advanced degree preferred
How to Stand Out (Preferred Qualifications):
- Experience in a top-tier technology Professional Services firm
- Familiarity with manufacturing-specific AI applications such as predictive maintenance and customer service automation
- Background in data science or machine learning engineering
- Experience managing contractual lifecycles, including negotiating MSAs and SoWs
- Knowledge of AI governance, ethics, and data privacy regulations
#AppliedAI #BigData #SalesLeadership #Manufacturing #CareerOpportunity #CloudTechnology
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We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.About the company
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