招聘
福利待遇
•Parental Leave
必备技能
Python
Node.js
SQL
C/C++
Java
C#
Presentation skills
Communication skills
We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.
MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to craft and build reliable, scalable systems using our data platform. Our team is made up of passionate software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales reps and play a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations.
We are looking to speak to candidates who are based in Singapore for our hybrid working model.
As an ideal candidate, you will have
-
2+ years of pre-sales experience
-
5+ years of professional experience in total with a strong software development background
-
Solid understanding and ability to code with one or more modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#)
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Experience with scalable and highly available distributed systems
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Excellent presentation and communication skills
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The ability to travel up to 50% of the time
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Business level proficiency in Bahasa language
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A Bachelor’s degree or equivalent work experience
As an ideal candidate, you may also have (nice to have)
-
Experience selling databases and/or deploying applications with any of the major cloud providers (AWS, Google Cloud, Azure, etc.)
-
Experience with database programming and data models
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A MongoDB Certification
What you do at MongoDB
-
Design systems, applications, and infrastructure to help drive some of the world's largest software development projects using MongoDB
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Advise customers on architectures, patterns, and strategies for making the best use of MongoDB
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Partner with our sales team to help ensure success in accounts in the assigned territory
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Align to support sales with activities such as technical discovery, demos, proof of value, presentation, sizing, and documentation of technical decision criteria; working across a number of opportunities in parallel
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Translate technical concepts and patterns into business benefits for management and executives
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Act as a liaison, capturing feedback from the field to relay back to the Product Management team
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Help drive demand through the participation in both industry-known trade-shows as well as account-based marketing events
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Proactively seek opportunities to support and mentor other pre-sales team members and share standard methodologies
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Have situational awareness and react appropriately in group settings
What you will learn
-
The rapidly growing MongoDB product suite, including:
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Core database server
-
Atlas (fully managed cloud database service)
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Atlas Full-Text Search and Vector Search, Atlas Stream Processing, Atlas Data Federation and Charts
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Other Tools and connectors
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Ops/Cloud Manager, Compass, Relational Migrator, Connector for BI, Connector for Spark
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Market-relevant, complementary technologies e.g. Apache Kafka, Kubernetes
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Modern and popular architecture design patterns, methodologies, and concerns e.g. microservices, event-driven architectures, DevOps, cloud, security
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Sales techniques and related soft skills - presentations, demonstrations, whiteboarding, discovery, objection handling
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Exposure to a wide variety of market verticals and a broad spectrum of exciting use cases
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID - 1273355879
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关于MongoDB

MongoDB
PublicMongoDB, Inc. is an American software company that develops and provides commercial support for the source-available database engine MongoDB, a database for unstructured data.
5,000+
员工数
New York
总部位置
$24.0B
企业估值
评价
2.6
10条评价
工作生活平衡
3.2
薪酬
3.8
企业文化
2.8
职业发展
2.9
管理层
2.4
35%
推荐给朋友
优点
Great team environment and culture
Supportive management and mentorship
Good compensation and benefits
缺点
Poor leadership and decision-making
Declining sales culture and difficult quotas
Limited advancement opportunities
薪资范围
30个数据点
Mid/L4
Senior/L5
Mid/L4 · Manager Marketing Analytics and Operations
1份报告
$114,266
年薪总额
基本工资
$99,362
股票
-
奖金
-
$114,266
$114,266
面试经验
8次面试
难度
3.1
/ 5
时长
14-28周
体验
正面 0%
中性 88%
负面 12%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Final Round
常见问题
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
新闻动态
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