Sr. AI-DLC GTM Specialist, WWSO
Amazon Web Services
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This role on the market
24 open wwso roles across 2 companies are on ApplySarthi right now, most of them in Bengaluru (1).
What wwso roles keep asking for: AWS (54%), Generative AI (46%), Serverless (17%), Elasticsearch (12%), LLMs (12%), Machine learning (12%), SQL (12%) — counted across their open postings here.
Amazon Web Services has 2,164 open roles listed here.
- Innovation Programs Lead, APJ Innovation and Engagementbengaluru
- Sr Solutions Architect, ISV PE, ISV, Private Equity
- Sr. Technical Account Manager, ES - WWPS
- Specialist Solutions Architect, Data, WWSO Data APJC
- Partner Sales Manager, Partner Sales Japan, AWS Partner Field APJ
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for wwso roles keep coming back to AWS, Generative AI, Serverless, Elasticsearch. 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 LLMs? Tell me one thing you learned the hard way.
- How did you know your model was actually good, and not just good on your test set?
- 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?
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Practise the Sr. AI-DLC GTM Specialist, WWSO at Amazon Web Services interview free →Are you passionate about how Agentic AI is transforming the way software is built, tested, and maintained? Would you like to be part of a team that is helping customers deliver value faster while maintaining Basic qualifications: - Experience in Go-To-Market, Business Development, Sales, or Consulting - Experience presenting to both technical and non-technical executive audiences - Experience working with cross-functional teams across business development, marketing, operations, product development, legal, etc. - Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations, or experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware Preferred: - Experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems, or experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware - Experience developing and executing GTM strategies, sales plays, or account plans that drove measurable business outcomes - Comfort with data and metrics — experience defining KPIs, building dashboards, and using data to drive GTM decisions Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. m/w/d 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.
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Listed on amazon · posted 2026-08-25. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon Web Services, not by us.