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Sr. Software Dev Manager, Alexa Smart Properties
福利待遇
•医疗保险
•401k
•股权
•育儿假
•心理健康支持
必备技能
Engineering leadership
Team Management
Software architecture
System design
Agile management
Alexa Smart Properties (ASP) is transforming how enterprises deploy voice experiences at scale across hospitality and senior living properties worldwide. We're building the future of enterprise voice technology, enabling properties to put Alexa in every room to improve customer experiences, reduce costs, and generate incremental revenue.
We're seeking an exceptional Sr. Manager, Software Development to establish and lead our growing Alexa Smart Properties engineering organization in Bangalore. This is a unique opportunity to build a high-performing team from the ground up while solving complex technical challenges that directly impact millions of users in enterprise environments.
In this role, you'll tackle ASP-specific challenges including building robust device management capabilities for fleet-scale deployments, architecting multi-tenant systems that serve diverse property types, and developing innovative communication features that connect senior living residents with family and friends through seamless calling and drop-in capabilities on Alexa devices. You'll be responsible for recruiting and developing multiple front-line managers and senior engineers, establishing engineering excellence in our Bangalore hub, and driving critical initiatives that span device lifecycle management, enterprise-grade security, and real-time communications.
As a leader in this role, you'll collaborate closely with product managers, architects, and engineering teams across both India and the United States, ensuring alignment on technical vision and delivery excellence. You'll own the end-to-end software development lifecycle for your teams, from architecture and design through deployment and operations, while building the organizational foundation for ASP's continued expansion in India. This position requires someone who can balance hands-on technical leadership with people management, someone who thrives in ambiguity, and someone passionate about building both world-class products and world-class teams.
If you're excited about enterprise-scale challenges, building new organizations, and making voice technology accessible to properties worldwide, we want to hear from you.
Basic Qualifications
- 10+ years of engineering experience
- 5+ years of engineering team management experience
- 10+ years of planning, designing, developing and delivering consumer software experience
- Experience partnering with product or program management teams
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
- Experience managing multiple concurrent programs, projects and development teams in an Agile environment
Preferred Qualifications
- Experience partnering with product and program management teams
- Experience designing and developing large scale, high-traffic applications
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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关于Amazon

Amazon
PublicAmazon.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
10条评价
3.4
10条评价
工作生活平衡
2.5
薪酬
4.2
企业文化
3.0
职业发展
3.8
管理层
2.7
65%
推荐率
优点
Great benefits and competitive pay
Learning and advancement opportunities
Good teamwork and colleagues
缺点
High pressure and long hours
Poor work-life balance
Toxic work culture and management issues
薪资范围
4个数据点
L2
L6
L3
L4
L5
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
面试评价
6条评价
难度
4.0
/ 5
时长
21-35周
体验
正面 0%
中性 17%
负面 83%
面试流程
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Technical Interview
6
Onsite/Virtual Interviews
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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