MongoDB Sales Recognized as a Top 20 Org for Professional Development by RepVue

MongoDB
May 29, 2024

It’s no secret that investing in your people can lead to incredible outcomes, especially for sales organizations. Companies with engaged employees see increased productivity, more profitability, and higher earnings per share. And because go-to-market (GTM) functions are responsible for more than 40% of revenue at high-growth software companies, driving effectiveness and engagement within GTM teams is paramount.

At MongoDB, the sales and customer success team makes up over 30% of our company and is one of our fastest-growing organizations. We know that providing opportunities for development and receiving support from leadership drives both engagement and career growth for our teams, ultimately making them more effective and empowered to deliver results. Within the last two years, over 160 employees have been promoted into leadership roles within our sales organization, and we’re continually growing the next generation of leaders at MongoDB.

So we’re thrilled to announce that MongoDB’s sales organization has received two RepVue Reppy Awards for the Spring 2024 Reppys, highlighting our commitment to excellence in building a world-class sales team and our prioritization of career development opportunities. RepVue recognizes MongoDB for being a Top 20 org for Professional Development and a Top 20 org for Publicly Funded Companies.

About the RepVue Reppy awards

RepVue collects millions of data points every year from its B2B sales professional user base. This data is voluntarily submitted on RepVue and includes information about their sales organization’s compensation, culture, overall employee experience, and more. This data is then used to rate the organization across categories and generate an overall RepVue Score.

Sales organizations that secure a place in the Top 20 for their category or the Top 5 in a metro area become eligible to receive Reppys. These rankings serve as a testament to the exceptional sales environment these organizations consistently deliver.

Hear what some of our employees have to say about working in sales at MongoDB.

Adam, Enterprise Account Executive, North America

“Throughout my time at MongoDB, I’ve been challenged to learn a complex technology while working with some of the smartest people in the industry. I am regularly humbled by the team we have and the engineers we work with. Everything I’ve learned from them has helped me sharpen my skills and advance my career.”

Read our blog to learn more.

Marie, Regional Director, Inside Sales, EMEA

“Being part of the sales organization at MongoDB isn’t just about being a good sales representative, it’s about being part of a growth mindset community. Participating in our BDR to CRO career development program has helped me take my sales career to new heights.”

Read our blog to learn more.

Salvatore, Area Vice President, EMEA

“As a member of our sales team, you’ll find a culture of transparency and meritocracy. We are focused on developing individuals to be great salespeople and like to think that we are the best technology sales school in the world. Our team is competitive, but there is a lot of camaraderie and support for one another. You’ll have the opportunity to express yourself at your best and know that you will be valued for your unique perspectives and experiences.”

Read our blog to learn more.

Simon, Senior Vice President, APAC

“Our role as leaders is to develop our teams, from the bottom all the way up. We need to develop the next wave of leaders so that they’re prepared to step up when the time comes. Being part of a high-growth tech company requires taking risks and making mistakes. We have a high standard, and we hold each other accountable, but it never comes at the cost of creating an environment where people are afraid to fail.”

Read our blog to learn more.

Cedric, Chief Revenue Officer

“If you join MongoDB, you’ll have to expect a culture of learning and growth. We drive a strong culture of ownership and accountability and we are going to invest in you very aggressively in terms of training and coaching, but we are also going to push you as much as we can so that you can grow your sales skills. Whether you sit in New Delhi, Sydney, Paris, London, or New York, you have a chance in this company to take on more responsibilities and grow your career faster than at any other company in the world. ”

Watch the video to learn more.

Stay up to date with MongoDB awards and culture highlights by joining our talent community.

← Previous

A New Way to Query: Introducing the Atlas Search Playground

Today, MongoDB is thrilled to announce the launch of a brand new sandbox environment for Atlas Search. The Atlas Search Playground offers developers an unparalleled opportunity to quickly experiment, iterate, and collaborate on search indexes and queries, reducing the operational overhead throughout the entire software development lifecycle. What is the Atlas Search Playground? The Atlas Search Playground is a sandbox environment where you can explore the power and versatility of Atlas Search without needing to set up a full Atlas collection or waiting for your search index to build. It provides an instantaneous and frictionless way to experiment with creating indexes and crafting search queries on your own data—all in a single, user-friendly interface that requires no prior experience or account setup. Key Features: Instant access: No need to sign up or log in. Simply visit the Playground Environment page and start exploring immediately. Playground workspace: A dedicated workspace where you can add and modify data to work with, create, edit, and test search indexes, and test search queries in real-time. Pre-configured templates: Access a variety of sample templates to simulate real-world scenarios and test your search skills against diverse use cases. Shareable snapshots: Easily share your experiments and findings with colleagues or collaborators using unique URLs generated for each session. Just press Share to generate your unique Snapshot URL to share your pre-configured environment. A shareable snapshot from the Playground Ready to move into Atlas Search? Once you’re ready to move into Atlas, just click on the Go To Atlas button to sign up or log into your existing Atlas account. Once you are in Atlas, you can: Create a project, cluster, database, and collection to use with Atlas Search Tip! To use the documents from the Playground, select Add Documents and paste in the array of documents that you want to add. Create a search index Under the Data Services tab, click on the cluster name and navigate to the Atlas Search tab. Follow the setup instructions to create a search index. Tip! To use the search index from the Playground, select the JSON editor configuration method and paste in your index definition. Run a query Click on the name of your index, and select Search Tester from the navigation menu. Tip! To use the query from the Playground, click Edit $search query to open the query editor and paste in the query. If the query has multiple stages, click on visit the aggregation pipeline . Already an Atlas user? If you're already using Atlas Search, you can easily set up the Atlas Search Playground to match your existing configurations. All you have to do is copy and paste your documents, search index definitions, and queries into the corresponding editor panels. Ready, Set, Play Ready to embark on your search journey? Visit the Atlas Search Playground now and unleash the full potential of Atlas Search. Whether you're a seasoned pro or a curious novice, there's something for everyone to discover without the need for any setup. To learn more about the Atlas Search Playground, visit our documentation . And be sure to share what you think in our user feedback portal .

May 29, 2024
Next →

Staff Engineering at MongoDB: Your Path to Making Broad Impact

Andrew Whitaker is a Senior Staff Engineer at MongoDB. His previous experience spans tiny startups to enormous organizations like AWS, where he held several different roles focusing on databases. Before joining MongoDB, he worked at a startup building optimized machine learning models in the cloud. Read on to learn more about why Andrew decided to join MongoDB in a senior-level engineering role and how his work is driving improvement within our engineering organization. Why MongoDB I have long been a fan of MongoDB’s products and services. MongoDB the database has always been a pleasure to work with – the system “brings joy” to quote a phrase. As a Python developer, I appreciate how the Python driver feels “Pythonic” in a completely natural way. The programmer interacts with the database using Python constructs: dictionaries, lists, and primitive types. By contrast, SQL databases force me to change my mental model, and the query language feels like an add-on that does not blend with the core language. As an engineer, I am always looking to expand my knowledge and grow my skills. The scope of challenges engineers face at MongoDB is what triggered my interest in the company. We obviously have people working on core databases and distributed systems. But, we also have teams dedicated to machine learning, streaming data, analytics, networking, developer tooling, drivers, and many more areas. It is very hard to get bored working at MongoDB. Finally, I would be remiss if I did not mention the people. Overall, MongoDB’s engineering culture prioritizes intelligence, low ego, and an ability to get stuff done. CL/CI (Continuous Learning, Continuous Improvement) Working at MongoDB has provided me with opportunities for continued learning and growth. Though I do not program as much as I did earlier in my career, I have recently been exploring the Rust language. I’m excited by Rust because it avoids the tradeoffs between predictable performance and safety. My work in the search space has given me exposure to the fast moving world of AI: vector embeddings, RAG, etc. For various reasons, I think MongoDB is uniquely positioned to do well in this area. On top of this, I’m working on some initiatives that are not fully public. I can say that one focus area is improving the sharding experience for our customers. We believe MongoDB sharding is best-in-breed. Still, the process requires more manual configuration than we think is ideal: customers select the shard key, cluster type, shard count, etc. We give guidance here, but I think we can raise the bar in terms of offering a seamless experience with less “futz”. I’m also working with the search team. We believe there is a natural affinity between MongoDB’s document model and AI/ML workloads. We have some features in the works that extend this integration in new and interesting ways. I also spend a fair bit of time driving quality improvements across our suite of products. Our CTO Jim Scharf frequently refers to our “ big 4 ” goals: security, durability, availability, and performance. These goals are more important than any feature we build. I’ve been working across the company to help teams define their availability SLO/SLAs. It turns out that measuring availability is a subtle topic. For example, a naive approach of counting the percentage of failed requests can underestimate downtime because customers make fewer requests when a service is unavailable. So, the first step is to clarify the definition of availability. Finally, as a lapsed academic (in a distant life, I was a graduate student at the University of Washington Department of Computer Science and Engineering), I’m always interested in finding ways to bridge theory and practice. I’ve been collaborating with some folks in our research team to drive improvements to our replication protocols. There are theoretical results that suggest it is impossible to simultaneously achieve low latency and strong consistency (“linearizability” in the technical jargon). However, we believe there are intermediate points in the consistency/latency spectrum that have not been fully explored. This work hasn't been made into a product yet, but stay tuned. Flexible working MongoDB is a hybrid company. Like many of our engineers, I work outside the company headquarters in New York City (I live in Seattle). I appreciate MongoDB’s approach to hybrid working and that company leadership, starting with Dev , cares about the well-being of their employees. It seems there are companies that don’t seem to trust their employees to make decisions, such as which days to come into the office, so I’m thankful for the autonomy I receive at MongoDB to work in a way that’s best for me. Remote work has its challenges, but I would say that the benefit for my work/life balance has been transformative. Final thoughts I have found MongoDB engineers demonstrate a strong mix of technical depth, pragmatism, and empathy. I have yet to find the “smart jerk” prototype that seems to exist throughout the tech industry. Overall, I have found MongoDB is open to change and growth at both the team level and the individual level. There is a willingness to evolve and improve that aligns with the company’s values and leadership principles and enables the success of our technology and people. Find out more about MongoDB culture and career opportunities by joining our talent community .

November 20, 2024