Sr. Worldwide Specialist - AI Inference, Data & AI GTM, Data & AI GTM
Amazon Web Services
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This role on the market
204 open worldwide roles across 8 companies are on ApplySarthi right now, most of them in Bengaluru (4), Hyderabad (3), Vadodara (1).
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What worldwide roles keep asking for: AWS (23%), Supply chain (20%), Excel (18%), Machine learning (15%) — counted across their open postings here.
AWS jobs · Generative AI jobs · Kubernetes jobs
Amazon Web Services has 2,227 open roles listed here.
- Sr Solutions Architect, AWS Industries India - S&Tdelhi ncr
- Software Development Engineer, Billing Data Services, Billing Data Services
- Principal Business Developer - ISV, GenAI GTM Specialists, EMEA
- Sr GTM Specialist Database, EMEA GTM Specialist Data team
- Associate Delivery Consultant AI/ML, A2C ProServe Shared Delivery (SDT)
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for worldwide roles keep coming back to AWS, Supply chain, Excel, Machine learning. Practise those questions before you sit with Amazon Web Services.
Questions you are likely to be asked
- Why do you want to join Amazon Web Services?
- What is your experience with AWS? Tell me one thing you learned the hard way.
- Tell me about a time the data was messy or wrong. What did you do?
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
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Practise the Sr. Worldwide Specialist - AI Inference, Data & AI GTM, Data & AI GTM at Amazon Web Services interview free →Are you energized to drive adoption of GenAI capabilities that upderpin agentic workflows with AWS customers and evolution of these technologies with AWS Product leadership? Are you passionate about helping Basic qualifications: - 5+ years of Go-To-Market, Business Development, Sales, or Consulting experience - 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience - Experience selling enterprise software or cloud-based applications - Experience explaining complex technical concepts to various business and technical audiences - Experience presenting to both technical and non-technical executive audiences Preferred: - 5+ years of highly technical pre-sales roles at B2B companies (Enterprises, Startups, System Integration Services Companies, preferably in ML and/or AI). SME in cluster-based computing frameworks such as Kubernetes and Ray. - Experience building sales plays and playbooks, prospecting for, advancing and closing technical sales pipeline to drive adoption of products and services in ML or AI focused on model Inference. Experience teaching account teams how to sell technical products and services - Experience structuring and running benchmark initiatives, documenting optimization strategies, building TCO/pricing models and demonstrating cost/performance differentiation to customers. - Experience advocating on customers behalf by understanding their pain points, helping customers navigate through cost/performance/quality trade-offs in cluster-based computing systems at scale, and conveying insights back to product teams. - Experience in managing multiple initiatives and campaigns simultaneously (customer engagements, sales motions, webinars, sales asset development, etc.) working across multiple functional teams (Product, Marketing, Solution Architects, Account teams). - Experience managing, tracking, and communicating customer and market insights and objective business metrics and risks. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Santa Clara - 162,700.00 - 220,200.00 USD annually USA, NY, New York - 162,700.00 - 220,200.00 USD annually USA, TX, Austin - 147,900.00 - 200,100.00 USD annually USA, WA, Bellevue - 147,900.00 - 200,100.00 USD annually
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Listed on amazon · posted 2026-09-01. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon Web Services, not by us.