Level

Amazon

Partner Sales Manager, AWS Partner org

Amazon is hiring a Partner Sales Manager, AWS Partner org in Seoul, South Korea. Level rates it ; you can apply on Amazon.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this sales role: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include Bedrock, SageMaker and Amazon Bedrock.
  • Level classifies it as a senior role.
  • Level lists 21,000+ other open roles at Amazon.
  • The role was posted in the last few days.

AI in this role

Senior Partner Sales Manager at AWS driving cloud and AI service adoption through technology and consulting partners in Korea.

bedrocksagemakeramazon-bedrockamazon-sagemakeramazon-qaws-marketplacecrm-systems
partner-salescloud-computinggo-to-marketb2b-sales
Amazon Web Services is at the forefront of the generative AI revolution, helping customers and partners unlock transformative business outcomes through the cloud. We are building a team of world-class partner sales professionals to drive co-sell motions and accelerate revenue growth with our Technology and Consulting partners in Korea. As a Senior Partner Sales Manager, you will work closely with AWS sales teams and strategic partners to drive adoption of AWS's AI and cloud services — including Amazon Bedrock, Amazon SageMaker, Amazon Q, and AWS Marketplace — delivering customer value through joint go-to-market initiatives across Korea.

Key job responsibilities
- Proactively identify IT service providers who are prepared to lead the market transition to Cloud
- Facilitate adoption and manage existing partners (Managed service providers, resellers and professional services firms)
- Identify partners in specific customer segments and industry verticals to approach, create and articulate compelling value propositions around AWS services
- Position AWS for internal use by the partner organization.
- Ensure that AWS is the partner’s preferred cloud computing platform across all product lines.
- Understand the technical and training requirements of our partners, and work closely with the internal
- AWS product teams to guide the direction of future products.
- Maintain a robust projects pipeline.
- Working experience with CRM systems and other analytic tools to establish detailed metrics for tracking purposes.
- Prepare and give business reviews to the senior management team.

A day in the life
AWS values diverse experiences — even if your career hasn't followed a traditional path, we encourage you to apply. As the world's most comprehensive cloud platform, AWS powers businesses from startups to Global 500 companies. You'll join a curious, inclusive team supported by employee-led affinity groups and events like CORE and AmazeCon. With mentorship and career-advancing resources, we help you grow as a professional. We also value work-life harmony — striving for flexibility so you can succeed both at work and at home.

About the team
Sales, Marketing and Global Services (SMGS)

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services

Basic qualifications

- 5+ years of full sales cycle, technology sales or equivalent business development experience
- Experience working and communicating with multiple stakeholders and cross-functional teams including direct and channel marketing, solution architect teams, product management and account management teams

Preferred qualifications

- Experience with direct field experience selling software or cloud solutions

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.

How we rate this

Partner Sales Manager, AWS Partner org at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Partner SalesCloud ComputingGo To MarketB2b SalesBedrockSageMakerAmazon BedrockAmazon SageMaker

Also common in sales jobs at this level

Pay

Typical sales job
$141k

This posting doesn't list pay. Use the typical sales figure when pay comes up. See sales jobs

Questions you could be asked

  1. Tell me about a project where partner sales was part of your work. What did you do?
  2. Tell me about a project where cloud computing was part of your work. What did you do?
  3. Tell me about a project where go to market was part of your work. What did you do?
  4. Tell me about a project where b2b sales was part of your work. What did you do?
  5. Walk me through how you've used Bedrock in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Partner Sales, Cloud Computing, Go To Market, B2b Sales, and Bedrock. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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