MongoDB
Senior Solutions Architect (Pre-Sales)
Minneapolis; Minnesota · Senior
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$6,926 more — $110,926 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $110,926 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Minneapolis-St. Paul-Bloomington, MN-WI. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Green-card intent detected
Green-card follow-through: 59%
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations.
- Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win.
Responsibilities
- 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
Requirements
- 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
- A Bachelor's degree or equivalent work experience
- Experience with database programming and data models
Skills
- Modern Architecture Design
- Sales Techniques and Soft Skills
- Effective Communication: Master presentations, demonstrations, and whiteboarding
- Industry Insights
- Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries
- About MongoDB
- It's what makes us MongoDB.
- Learn more about what it's like to work at MongoDB, and help us make an impact on the world!
- To request an accommodation due to a disability, please inform your recruiter.
- 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:
Compensation
- Salary is one part of MongoDB's total compensation and benefits package.
- 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:
Company info
- 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.
- 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.
- We are looking to speak to candidates who are based in Minneapolis for our hybrid working model.
- Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
This listing is sourced directly from MongoDB's careers page and normalized into a canonical job model.