We’re looking for a hardworking, driven individual with superb energy, passion and initiative for new business acquisition. The Enterprise Account Executive role focuses exclusively on formulating and executing a sales strategy within an assigned territory, resulting in revenue growth and new customer acquisition.

We are looking to speak to candidates who are based in Beijing, Shanghai or Shenzhen for our hybrid working model.

Responsibilities

• Proactively prospect, identify, qualify, and develop a sales pipeline
• Close business to meet and exceed monthly, quarterly, and annual bookings objectives
• Build strong and effective relationships, resulting in growth opportunities
• Participate in our sales enablement training, including our comprehensive Sales Bootcamp, sophisticated sales training, and leadership and development programs
• Work closely with the Professional Services team to achieve customer satisfaction

Requirements

• BA/BS required
• 5+ years of field experience in quota-carrying experience in a fast-paced and competitive market with a focus on new business
• Demonstrated ability to articulate the business value of complex enterprise technology
• A track record of overachievement and hitting sales targets
• Skilled in building business champions and running a complex sales process
• Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales)
• Familiarity with databases, DevOps, and open-source technology is a plus
• Driven and competitive: Possess a strong desire to be successful
• Skilled in managing time and resources; sound approach to qualifying opportunities
• Possess aptitude to learn quickly and establish credibility. High EQ and self-aware
• Must live in Shanghai.
• Must be fluent in Chinese.
• Passionate about growing your career in the largest market in software (database) and developing and maintaining an in-depth understanding of MongoDB products

Why join now

• MongoDB invests well above the industry average in development of each of our new hires & continuous career development
• Accelerators up to 30%
• Best in breed Sales trainings in MEDDIC and Command of the Message, including our comprehensive Sales Bootcamps and development programs
• New hire stock equity (RSUs) and employee stock purchase plan
• Generous and competitive benefits (parental leave, fertility & wellbeing support)
• Friendly and inclusive workplace culture - Learn more about what it’s like to work at MongoDB,

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.*

We are looking for innovative, experienced sales individuals with extraordinary energy, passion, and initiative to drive partner awareness and channel new business for the fastest growing database in the world, MongoDB.

The Manager of Cloud Partners role owns all the sales and channels related to our MongoDB as a Service partnerships in the region. These partnerships exist today with Alibaba cloud, Tencent cloud and AWS China and may expand to other partners.

This individual will be accountable for developing a strategy to generate an incremental sales pipeline with the cloud partners, increasing their efficiency via sales and technical enablement, joint marketing, post-sales support, and demonstrating to them how to sell the value of MongoDB.

We are looking to speak to candidates who are based in Shanghai , Beijing and Shenzhen for our hybrid working model.

Responsibilities

• Run Cloud Partner relationships in the China Area with a direct reporting line to the Regional Director of Mainland China
• Build and execute go to market programs (co-selling and co-marketing) with Cloud Partners
• Drive enablement and field alignment activities to deliver incremental MongoDB revenue with Cloud Partners
• Own New ACV quota & pipeline creation goal for Cloud Partner’s MongoDB as a Service business in the region
• Proactively helping prospect, identify, qualify, and develop a sales pipeline with the Cloud Partner’s regional sales teams
• Provide both business and technical expertise to the Cloud Partners to help them sell the value of MongoDB
• Interlock with MongoDB’s Global Partner team, Pre-sales, Post-sales, and Marketing support
• Participate in our sales enablement training, including our comprehensive Sales Bootcamp, sophisticated sales training, and leadership and development programs

Requirements

• BA/BS required
• 5+ years field experience of quota-carrying experience in a fast-paced and competitive market with a focus on new business
• Technically knowledgeable in the enterprise software and cloud computing space
• At least 5 years generating pipeline and selling in the Cloud/Database/IaaS space working with companies like Alibaba, Tencent, AWS, & Baidu
• Proven ability to articulate the business value of complex enterprise technology
• A track record of overachievement and hitting sales targets
• Skilled in building business champions and running a complex sales process
• Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales)
• Familiarity with databases, DevOps, and open source technology a plus
• Skilled in managing time and resources; sound approach to qualifying opportunities
• Possess aptitude to learn quickly and establish credibility. High EQ and self-aware
• Must live in territory China (BJ, SH, and SZ)
• English and Chinese speaking
• Passionate about growing your career in the largest market in software (database) and developing and maintaining an in-depth understanding of MongoDB products

Our Benefits

• Competitive salary and equity
• Comprehensive Health cover, dental cover, travel insurance & Life Insurance
• 20 weeks of Paternity and 26 weeks of Maternity leave to spend time with new arrivals
• MongoDB provides employees and their families 24-hour access to an Employee Assistance program

Our Core Value

• Think Big, Go Far: We are big dreamers with a passion for creativity. We eagerly pursue new opportunities and markets through innovation and disruption
• Make It Matter: We are relentless in our pursuit of a significant impact. We think strategically and are clear on what we are and are not trying to do
• Build Together: We achieve outstanding things by connecting and demonstrating the diversity of skills, experiences, and backgrounds of our entire organization
• Embrace the Power of Differences: We commit to crafting a culture of inclusion by seeking and valuing employees from different backgrounds and circumstances. This is cultivated by learning from and respecting each other’s differences
• Be Intellectually Honest: We embrace reality. We apply high-quality thinking and rigor. We have courage in our convictions but work hard to ensure biases or personal beliefs do not get in the way of finding the best solution
• Own What You Do: We take ownership and are accountable for everything that we do. We empower and are empowered to make things happen, and balance independence with interdependence

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 425322

At MongoDB, our Sales Development organisation works closely with our partners in both Sales and Marketing to build fanatical customer enthusiasm around MongoDB. Sales Development Representatives (SDRs) are responsible for identifying and qualifying new opportunities for our Enterprise and Corporate sales organisations.

We view our Sales Development program as the best way to turbocharge a long and successful career in sales and view our Growth Development Representatives as the next wave of Account Executives at MongoDB. 

We are looking to speak to candidates who are based in Beijing, Shanghai or Shenzhen for our hybrid working model.

The Opportunity

Being a SDR is often a first step to jump-starting a career in sales. At MongoDB, we have a culture that celebrates diversity, fosters growth and enablement, and ensures that we provide our SDRs with the tools and the confidence that they need to grow their careers. We invest heavily in the training and development of our team. You will always have the support from our sales enablement org and managers that will maintain 1:1 coaching throughout your career here.

Our SDRs gain an understanding of our product, community, who we sell to, why they care, and what makes us relevant. They learn how to generate a pipeline quickly and effectively as well as how to achieve a good discovery and qualification. The team is a crucial resource for sales teams across MongoDB to get great talent from. This helps us scale our teams, as well as ensure that we have a culture of meritocracy.

Day to Day

• Identify high-potential businesses that would be a good fit to work with MongoDB across your region
• Work with the Sales team to develop and lead inbound and outbound campaigns from idea-generation through to qualified call
• Develop strong sales and product knowledge
• Interact with IT and business decision makers via telephone and email
• Update lead and prospect activity in Salesforce to ensure effective lead management
• Run customer calls to qualify potential opportunities and set introductory meetings for the Sales team
• Nurture early phase opportunities for future pipeline potential
• Exceed monthly and quarterly opportunity quota
• Build strong relationships with our marketing team and Account Executives, where we pull together to maximize the win for our business
• Invest in your self-development, focusing on the skills and attributes that will make you successful in your core role and get you set for future success

What You Will Bring to the Table

• A self-starter with a track record of hitting and exceeding goals
• Outstanding communication skills
• Time management skills and ability to work either independently or through coaching
• Desire to work in a fast-paced and high growth environment
• Passionate about cutting-edge technology with the aptitude to learn new and exciting IT software products, as well as, understand business critical solutions quickly 
• Written and spoken fluency in English 

Things We Love

• Strong and progressive academic background
• Familiarity with database, web server, and open source technology
• Working experience with Salesforce.com

Why You Should Apply

• Great Earning Potential 
• Welcoming and inclusive workplace Meet MongoDB’s Employee Affinity Groups!
• Continuous career development
• Sales training in MEDDIC and Command of the Message
• Benefits include: 
• Sales Bootcamp
• Internal mentor and buddy program cross-departmentally

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: 426003

Senior Staff/Staff Machine Learning Engineer-LLM

Company Introduction

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce.

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the sped we have been at since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.

Summary:

At Coupang, we invest in providing the best product experience for our customers. The AI and Knowledge Engineering team’s mission is to provide the best possible technical solution to achieve the optimal experience for our customers. We innovate and advance the space of Knowledge Graphs, agents, LLMs, AI, ML, NLP, and multi-modal models. We are looking for engineers who want to work on cutting edge technology, that is the intersection of Semantic knowledge bases, agents, NLP, LLM, ML and software engineering. Come join us to help create a world class team advancing the AI/NLP/ML/LLM/RL/Knowledge Graph technologies.

The Role/Responsibilities:

• Work on GenAI, self-learning systems to solve complex eCommerce scenarios.
• Develop statistical models for predictive and compound AI Models
• Train foundational models that can help with building learning systems.
• Define process and experiments for an E2E foundation model.
• Build E2E AI pipelines for storing/servicing foundational models.
• Mentor and guide team members on frameworks, methodologies related to data lakes, data normalization, dimension reduction, visualization, statistical models.
• Ensure Model training is security, compliance aware.
• Collaborate with cross-team members to understand the requirements ensuring the foundational models, knowledge captured aligns with the company’s overall AI strategy.

What you will bring/ Requirements:

• Overall 10+ years of working in software engineering and AI/ML Engineering.
• 4+ years of demonstrated data science, experience in building large scale foundational models for eCommerce scenarios.
• Expertise in large language model fine-tuning and deployment.
• Deep understanding of AI/ML/Deep-learning and statistical model architecture.
• Strong statistical/mathematical background in defining metrics, learning functions and result analysis.
• Significant experience in SQL, Python, PySpark, Scala and R
• Proficiency in PyTorch/TensorFlow, Spark, BigQuery
• Experience in creating complex data visualization tools, frameworks and techniques.
• Experience in dimension reduction in big data.
• Proficient in cloud analytical stacks [ Lakes, warehouse, ETL pipelines]
• Experience with inference platforms in AWS, Azure and other open-source platforms.
• Are result-oriented, with a bias towards customer obsession, flexibility, and impact.
• Strong written and verbal communication and teamwork skills
• Passion for Large language models, NLP, and Machine Learning at scale

Education: B.S, M.S in Computer science or Mathematics, or related field

Recruitment Process

Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer

The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.

Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

This job posting may be closed prior to the stated end date for application if all openings are filled.

Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.

Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.

Privacy Notice​

Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://taou.cn/zlO8

[Applied in Coupang.Jobs] Equal Opportunities for All

Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.

Equal Opportunities for All

Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team

Senior Staff/Staff Machine Learning Engineer-LLM

Company Introduction

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce.

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the sped we have been at since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.

Summary:

At Coupang, we invest in providing the best product experience for our customers. The AI and Knowledge Engineering team’s mission is to provide the best possible technical solution to achieve the optimal experience for our customers. We innovate and advance the space of Knowledge Graphs, agents, LLMs, AI, ML, NLP, and multi-modal models. We are looking for engineers who want to work on cutting edge technology, that is the intersection of Semantic knowledge bases, agents, NLP, LLM, ML and software engineering. Come join us to help create a world class team advancing the AI/NLP/ML/LLM/RL/Knowledge Graph technologies.

The Role/Responsibilities:

• Work on GenAI, self-learning systems to solve complex eCommerce scenarios.
• Develop statistical models for predictive and compound AI Models
• Train foundational models that can help with building learning systems.
• Define process and experiments for an E2E foundation model.
• Build E2E AI pipelines for storing/servicing foundational models.
• Mentor and guide team members on frameworks, methodologies related to data lakes, data normalization, dimension reduction, visualization, statistical models.
• Ensure Model training is security, compliance aware.
• Collaborate with cross-team members to understand the requirements ensuring the foundational models, knowledge captured aligns with the company’s overall AI strategy.

What you will bring/ Requirements:

• Overall 10+ years of working in software engineering and AI/ML Engineering.
• 4+ years of demonstrated data science, experience in building large scale foundational models for eCommerce scenarios.
• Expertise in large language model fine-tuning and deployment.
• Deep understanding of AI/ML/Deep-learning and statistical model architecture.
• Strong statistical/mathematical background in defining metrics, learning functions and result analysis.
• Significant experience in SQL, Python, PySpark, Scala and R
• Proficiency in PyTorch/TensorFlow, Spark, BigQuery
• Experience in creating complex data visualization tools, frameworks and techniques.
• Experience in dimension reduction in big data.
• Proficient in cloud analytical stacks [ Lakes, warehouse, ETL pipelines]
• Experience with inference platforms in AWS, Azure and other open-source platforms.
• Are result-oriented, with a bias towards customer obsession, flexibility, and impact.
• Strong written and verbal communication and teamwork skills
• Passion for Large language models, NLP, and Machine Learning at scale

Education: B.S, M.S in Computer science or Mathematics, or related field

Recruitment Process

Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer

The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.

Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

This job posting may be closed prior to the stated end date for application if all openings are filled.

Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.

Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.

Privacy Notice​

Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://taou.cn/zlO8

[Applied in Coupang.Jobs] Equal Opportunities for All

Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.