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Tech Business Developer II - AMZ24122.5

  • Seattle, WA, United States

$149,802 to $160,000 USD / year

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Job details

Pay
$149,802 to $160,000 USD / year
Working hours
40 hours / week
Posting language
English
Posted

Original job description

Employer: Amazon Web Services, Inc. Position: Tech Business Developer II - AMZ24122.5 Location: Seattle, WA

Multiple Positions Available:

  • Use analytic tools to establish detailed metrics for tracking purposes and ensure that the team has the data and insights needed to make informed business decisions.
  • Drive overall sales and technical strategy, including defining a go-to-market plan that considers market segments, customer base, and industry verticals to target.
  • Prepare and give regular business reviews to the senior management team.
  • Engage assigned organizations, channels and end customers to create and drive revenue opportunities for Amazon.
  • Create a strategic partner development plan for target partners and customers, and ensure it's in line with the overall strategy.
  • Set and manage revenue targets and work with the partners and AWS sales organizations to achieve/exceed those targets.
  • Engage key internal stakeholders (e.g. solutions architects, services teams, marketing, PR, legal, support, etc.) to execute the strategic business plan.
  • Understand the technical requirements of the end client and/or customer and work closely with the internal development team to guide the direction of product offerings.
  • Leverage your expertise in AI and Machine Learning to understand customer issues, identify use cases and design solutions using AWS AI services.
  • Manage complex contract negotiations and serve as a liaison to the legal group.
  • Position requires some travel to meet with AWS customers.

(40 hours / week, 8:00am-5:00pm, Salary Range $149802 - $160000)

Amazon.com is an Equal Opportunity – Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

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Basic qualifications Master’s degree or foreign equivalent degree in Information Management, Business Administration Analytics, Marketing, or a related field and three years of experience in the job offered, or a related occupation. In the alternative, employer will accept a Bachelor’s degree or foreign equivalent in Management, Business Administration Analytics, Marketing, or a related field and four years of experience in the job offered, or a related occupation. Must have three years of experience in the following skill(s): • Product marketing, product management, or GTM strategy roles, preferably in the AI/ML or enterprise software industry. • Business agreements development, negotiation and execution experience. • Machine Learning experience.

The pay range for this position in Seattle, WA is $149802 - $160000 (yr); however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided by Washington Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.

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Preferred qualifications All applicants must meet all the above listed requirements.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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.

More about this job

Skills

  • Sales
  • Vertical markets
  • Manage revenue
  • AWS
  • Machine learning
  • ML
  • Negotiation
  • Recruitment

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