Summary written by USA Jobs 24 from MongoDB's advert and our data on 17,030 current US jobs. How we check every job
At a glance
MongoDB is hiring a Senior Forward Deployment Engineer in Austin, TX; Boston, MA +10. It is a full-time role in Software & IT, asking for at least 8 years of experience, first listed on November 1. The advertised pay is $126,000–$248,000 a year. The description mentions Generative AI, Microservices, Java, SQL, Python and Machine learning. MongoDB has 99 other openings in the US, 27 of them in Austin, TX. Across all employers on USA Jobs 24 there are 224 Software & IT openings in Austin, TX today; the typical one asks for 6 years and advertises about $187,000 a year at the midpoint.
Generative AIMicroservicesJavaSQLPythonMachine learningAWSGoogle Cloud
How the pay compares
MongoDB advertises $126,000 to $248,000 a year, a midpoint of $187,000 a year. Where an offer lands in a range usually depends on experience and on the exact location. That is higher than about 55% of the 308 software & IT jobs in Texas that publish a yearly rate on USA Jobs 24, where the typical midpoint is $180,000 a year. To see roughly what this leaves after federal and Texas tax, try our take-home pay calculator.
Skills in this advert
How often each skill named in this advert appears across the 4,670 software & IT jobs we list today. Python is the most widely requested (31% of jobs), while Microservices is the least common (6%). Widely requested skills are what employers expect as a baseline; rarer ones show what is special about this job.
Paste your resume and this advert into our resume match tool to see which of these words your resume already covers.
Before you apply
- Check it is still open. We found this job on MongoDB's Greenhouse site on November 1 and checked it again November 4, 5:17 AM ET. When an employer takes a job down, we remove it at our next daily update.
- Check the location works for you. This role is based in Austin, TX (or one of 11 other locations). If you would need to move, ask whether relocation help is offered.
- Match the experience. The advert asks for at least 8 years of experience. If you are a little short, a close match on the skills in the advert can still win an interview.
- Tailor your resume. Use the advert's own words, such as Generative AI, Microservices and Java, wherever they are true for you. Our resume guide shows how.
- Know your number. Decide the lowest offer you would accept before the first call. Our salary negotiation guide explains how to ask for more.
- Apply only through MongoDB's own site. Our Apply button goes straight to MongoDB's Greenhouse page. If anyone contacts you about this job and asks for money, gift cards or bank details, stop and check it with our scam checker. Read how to spot a fake job offer.
About hiring at MongoDB
MongoDB has 100 openings on USA Jobs 24 today across 18 states. Most are in software & IT (36), sales & BD (12) and customer service (10). The biggest locations are New York, NY (53), Austin, TX (28) and Palo Alto, CA (26). 13% of them are remote, 3% are open to entry-level candidates and 87% show pay. We collect MongoDB's jobs every day straight from its own careers system (Greenhouse), never from job boards or agencies.
The employer's advert
This is MongoDB's own description of the job, copied word for word from its careers site. We have not edited it.
Show the full advert from MongoDBHide the advert739 words
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
USA Jobs 24 copied this listing from MongoDB's official careers site on November 1, 2026 and checked it again November 4, 5:17 AM ET. MongoDB will never ask you to pay to apply or to buy equipment with a check they send you. If anyone does, it is a scam.
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