Senior Solutions Architect (Pre-Sales)
MongoDB · Atlanta, GA
Posted today
Same role, also open in Chicago, IL
- Base
- $104K–$204K
- OTE
- Not disclosed
- Posted
- 4h ago
Still open · checked 2h agoon MongoDB's careers page
The job
- What you'd do
- Advise customers from startups to the world's biggest companies on how to design their database systems, and help sales executives win deals. You'll create much of your own business through events and projects, in Atlanta with up to 25% travel.
- What you'd sell
Stores an app's data so it stays fast as it grows
When a company builds an app that tracks orders, accounts, or messages, it needs a place to keep all that information. The problem is, if that place slows down or crashes under heavy use, customers notice and leave. MongoDB makes that storage, and its Atlas service runs it on the big providers' computers so the app stays fast as it grows.
In plain English, from their own job posts. Something wrong? Tell me · More AI & data companies →
- Who you'd sell to
- Not stated in the posting.Ask: “Who's the economic buyer, and who else is in the deal?”
- Where deals come from
- A mix. Some leads come to you, some you find yourself.
The Braun Read
Ask hard questionsToo much is left unsaid. Make them answer before you invest.
- Pay
- Base is listed but not OTE. Ask what the variable is and how many people hit it.
- Transparency
- Says nothing about quota, attainment, deal size, territory or sales cycle. Ask about all five.
- Time on market
- Brand new.
- Company hiring
- Ramping up: posted 9 sales roles in the last 30 days.
Based only on what the posting says. Lights are a starting point for your first call, not a final judgment.
Questions to ask on the first call
Built from what this posting leaves out. How they answer tells you as much as what they say.
- 1.
What percentage of fully ramped reps hit quota last year?
OTE is what you could earn. This is how likely you are to earn it.
- 2.
What's the OTE, and what did the median rep earn last year?
Base is what you're guaranteed. OTE and the median show the upside.
- 3.
Who's the economic buyer, and who else is in the deal?
Selling to a CFO and selling to a developer are different jobs.
- 4.
What's the annual quota, and how was it set?
A quota built from real data is a target. Otherwise it's a hope.
- 5.
How long is ramp, and what's the quota during it?
Before You Apply
Find out where you fit, and where you don't, before you hit submit.
Why I built it this way ↓
Most résumé tools try to make you look like a match. I'd rather help you find out if you are one.
Nothing made up.
Nothing goes on your résumé that you didn't do. If a line would need a number you didn't give me, I ask. I don't guess. On Braun Board it's checked in code, not just promised.
Curiosity before conclusions.
If the job wants something your résumé doesn't show, I ask before I assume. Plenty of sellers have done the thing and just never wrote it down.
Sorting, not selling.
Some jobs won't line up with what you've done. Finding that out before you apply isn't a loss. It's an hour back, spent on a job that fits.
No score.
A match score tells you how well you copied their words. It doesn't tell you whether you'd be good at the job, or happy there.
It's the same way I teach selling. We don't control who says yes. We do control where we spend our time, and whether everything we say is true.
Josh
More on this1 Is the job worth it?
Ask hard questions. Too much is left unsaid. Make them answer before you invest.
No red lights. 1 thing the posting doesn't say, worth asking on the first call.
See the full Braun Read2 Where you fit
Upload once, see where you fit on any job.
Sign in and add your résumé. I'll show you where you line up, ask before I assume, and never add anything you didn't do.
Sign in →What people say about working at MongoDB ↓
Got an offer from MongoDB? Not sure about it?Ask me. I read every message myself. · JoshAsk Josh
Rather talk it through? Call or text me: 954-695-0844 (text)
Full posting
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 design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, 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 executives, helping customers solve business problems by leveraging our solutions, playing 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 Atlanta for our hybrid working model
As an ideal candidate, you will have:
- Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
- Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
- Experience designing with scalable and highly available distributed systems in the cloud and on-prem
- Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
- Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
- Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
- The ability to travel up to 25%
- A Bachelor’s degree or equivalent work experience
You may also have:
- Experience selling databases and/or deploying applications with any of the major cloud providers
- Experience with database programming and data models
- Experience in data engineering or AI/ML projects
- Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
- Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
- A MongoDB Certification
- A Cloud Provider Certification
What you do at MongoDB:
In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:
- Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
- Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
- Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
- Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
- Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
- Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members
- Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends
What you will learn:
MongoDB Product Suite Mastery:
- Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
- Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
- Relational Migrator: Learn to migrate from relational databases seamlessly
Market-Relevant Technologies:
- Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
- Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes
Modern Architecture Design:
- Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
- Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space
Sales Techniques and Soft Skills:
- Effective Communication: Master presentations, demonstrations, and whiteboarding
- Client Interaction: Develop strategies for discovery and objection handling
Industry Insights:
- Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries
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 data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform 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 data platform and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, 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, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
REQ ID: 427022
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
MongoDB’s base salary range for this role in the U.S. is:
$104,000-$204,000 USD