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Sr. Field Support Engineer, eero

Amazon

Sr. Field Support Engineer, eero

Amazon

San Francisco, CA, USA

·

On-site

·

Full-time

·

3w ago

At eero we pride ourselves in providing every customer a world class experience.

Our mission is to make technology in homes and businesses just work - through fast, reliable secure connectivity. Fixing connectivity in the home is, however, just the start. We're working on the building blocks of the small business solutions and smart homes by designing our own hardware, enabling it with powerful software, and tying it all together to the cloud. We are seeking a Sr. Field Support Engineer to join our team of existing Network Support Engineers (NSE) across the country. NSE’s investigate customer and fleet impacting issues, serve as SMEs for our product, engineering, marketing, and CX teams, and provide escalation support to senior leadership. NSE’s are the first line of support when it comes to identifying issues that can impact the customer experience, and this role will ensure we are meeting our commitments to customers across the globe.

Key job responsibilities
As a member of our Support Engineering team, you will be looked upon as an SME for our products. You’ll mentor CX Agents, while working alongside them on customer issues.

As an Field Support Engineer, you will:

  • Serve as an expert on networking, fleet monitoring, and customer support practices.
  • Handle complex network issues, serving as the escalation point of contact for business leaders, IT staff, MSPs, and residential installations.
  • Visit customer and partner locations - mapping new installations, troubleshooting, repairing, and installing complex network solutions. (50-75% travel)
  • Work collaboratively with stakeholders across the organization, acting as the Voice of the Customer when making technical recommendations
  • Investigate customer contacts, drilling into unique and complex networking issues to support T1, T2, and T3 Agents.
  • Be part of the on-call roster and handle incidents.
  • Ability to travel both domestically and internationally (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, Los Gatos - 176,600.00 - 239,000.00 USD annually
USA, CA, San Francisco - 176,600.00 - 239,000.00 USD annually
USA, ID, Boise - 153,600.00 - 207,800.00 USD annually
USA, WA, Seattle - 153,600.00 - 207,800.00 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