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职位Amazon

Senior Enterprise Account Manager, AI Models, HiTech

Amazon

Senior Enterprise Account Manager, AI Models, HiTech

Amazon

Mountain View, CA, USA

·

On-site

·

Full-time

·

1w ago

Are you passionate about the frontier of generative AI and foundation model development? Do you have the business acumen and technical depth to serve as a trusted advisor to some of the most innovative AI companies in the world? Are you excited about helping enterprise AI-native companies scale their infrastructure and go-to-market motion on AWS?

As a Principal Account Manager for Foundation Model Providers, you will own the strategic relationship with the most consequential AI companies in the generative AI landscape. Your responsibilities will include driving revenue, adoption, and market penetration with enterprise accounts. The ideal candidate will possess both a sales and technical background that enables them to drive an engagement at the CXO level as well as with ai developers and engineers. You will be the leader of a cross functional team, shaping the strategy for partners, professional services, and training/certification. You will develop and execute against a territory strategy and consistently deliver on quarterly revenue targets.

  • Key job responsibilities
  • Lead a Customer Obsessed business that delights our customers
  • Accelerate customer adoption through a comprehensive GTM Strategy to achieve Customer Outcomes
  • Drive market share while achieving/exceeding revenue and non-revenue goals
  • Demonstrate a history of executing complex deals
  • Create and articulate compelling value propositions around AWS Services
  • Leverage relationships with internal stakeholders to further adoption of AWS services in your customer base
  • Develop and work with partners to extend reach and drive adoption

Basic Qualifications

  • 7+ years of technology related sales, business development or equivalent experience
  • Experience engaging and influencing C-level executives, both business and technical
  • Bachelor's degree or equivalent

Preferred Qualifications

  • Experience in large complex deal negotiations with a successful track record
  • Experience with AWS technologies, including EC2 GPU instances, Amazon Bedrock, Sage Maker, and AWS Marketplace
  • Familiarity with foundation model provider business models, including training infrastructure, inference deployment, and enterprise GTM motions
  • Understanding of the generative AI competitive landscape, including open-source vs. proprietary model dynamics
  • Experience working with venture-backed, high-growth AI-native companies

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.

Pursuant to the San Francisco 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, restricted stock units (RSUs), and sales incentives. 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, Mountain View - 157,100.00 - 212,600.00 USD annually
USA, CA, San Francisco - 157,100.00 - 212,600.00 USD annually
USA, WA, Bellevue - 142,800.00 - 193,200.00 USD annually
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually

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关于Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

员工数

Seattle

总部位置

$1.5T

企业估值

评价

2.9

10条评价

工作生活平衡

2.8

薪酬

3.7

企业文化

2.5

职业发展

2.3

管理层

2.1

35%

推荐给朋友

优点

Good pay and compensation

Strong benefits package

Flexible scheduling options

缺点

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

薪资范围

4个数据点

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0份报告

$108,330

年薪总额

基本工资

$43,332

股票

$54,165

奖金

$10,833

$75,831

$140,829

面试经验

10次面试

难度

3.7

/ 5

时长

21-35周

录用率

20%

体验

正面 10%

中性 10%

负面 80%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge