Senior Forward Deployment Engineer
Company websitemongodb.com (MongoDB, opens in new tab)
Base salary $126K to $248K
Employer-published annual base salary, USD. Advertised base range in Austin, TX +11 more
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationAustin, TX +11 more
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (4 min ago) · observed since
All places named
- Austin, TX
- Boston, MA
- Dallas, TX
- Denver, CO
- Houston, TX
- Los Angeles, CA
- Nashville, TN
- New York City, NY
- Palo Alto, CA
- Philadelphia, PA
- San Francisco, CA
- Seattle, WA
About this job
As a Senior Forward Deployed AI Engineer, you’ll work directly with enterprise customers on high-impact projects that leverage Generative AI, LLMs, and modern application development. You’ll be hands-on in helping organizations migrate legacy databases, modernize their architecture, and integrate AI-driven functionality into their applications. This is a rare opportunity to apply your software engineering expertise while driving AI adoption across industries. You’ll not only solve challenging, real-world engineering problems, but also influence MongoDB’s AI strategy and product direction.
This role will be based remotely anywhere within the U.S. or any MongoDB North America office, including Seattle, Denver, Raleigh, San Francisco, Palo Alto, New York, DC, etc.
What You’ll Do
- Work with enterprise customers to refactor applications, migrate legacy databases, and optimize performance using MongoDB
- Prototype and build AI-powered features, leveraging LLMs and Generative AI frameworks to improve software development workflows and application functionality
- Apply modern software engineering practices to accelerate customers’ AI adoption, helping them implement microservices-based architectures, intelligent automation, and AI-enhanced applications
- Influence MongoDB’s AI and software development roadmap by sharing insights from real-world implementations and customer needs
- Collaborate across engineering, product, and customer teams to create scalable, resilient software solutions
What We’re Looking For
- 8+ years of experience in software engineering, with a proven track record of delivering impactful technical solutions for enterprise clients, preferably using Java, SQL, and Python
- An engineering degree in Computer Science, Machine Learning, Mathematics, Network Engineering, or Electrical Engineering
- In-depth knowledge of AI/ML concepts, tools, and open-source development; experience designing and implementing AI-powered applications is highly preferred
- Proficient in test-driven development methodologies and familiar with monolithic vs. microservices architectures, including database migration and refactoring
- Strong problem-solving skills and a passion for tackling complex, “un-Googleable” challenges while driving innovation through software development
- Preferred qualifications: Academic research experience in parsing, AI/ML, or programming languages
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: 3273590473
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:
$126,000—$248,000 USD
Source: MongoDB on Greenhouse · View original posting (opens in new tab)
This listingSenior Forward Deployment Engineer$126K to $248K
Senior Research Scientist$126K to $248K
Senior Product Security Engineer, Assessments$126K to $248K
Senior Software Engineer, Database Integration & Observability$126K to $248K
Site Reliability Engineer (Senior or Staff), Storage Layer Services (SLS)$126K to $248K
Senior Software Engineer, Replication$126K to $248K
Senior Product Manager, Client Libraries$126K to $248K
Chart as a table
| Role | Published base |
|---|---|
| Senior Forward Deployment Engineer (this listing) | $126K - $248K |
| Senior Research Scientist | $126K - $248K |
| Senior Product Security Engineer, Assessments | $126K - $248K |
| Senior Software Engineer, Database Integration & Observability | $126K - $248K |
| Site Reliability Engineer (Senior or Staff), Storage Layer Services (SLS) | $126K - $248K |
| Senior Software Engineer, Replication | $126K - $248K |
| Senior Product Manager, Client Libraries | $126K - $248K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Advertised base range changed
- Observed since
- Employer-stated posting date
- 2026-10-22
Where this pay comes from
Location as the employer wrote it: MongoDB’s base salary range for this role in the U.S. is:
USD 126,000 – 248,000 · interval unstated · pay_input_range · MongoDB’s base salary range for this role in the U.S. is: · base-labelled (R1: base salary)
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
