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MongoDB

Senior Forward Deployment Engineer

  • Office
  • 6+ years

Salary

$126,000 - 248,000/ year

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Description

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.

Responsibilities

  • 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

Requirements

  • 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.
  • 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

Where you’d work

From the office

About the company

MongoDB

  • Industry: SaaS

Offices in Austin, United States, Boston, United States, Dallas, United States, Denver, United States, Houston, United States, Los Angeles, United States, Nashville, United States, New York City, United States, Palo Alto, United States, Philadelphia, United States

Also hiring in Dublin, Ireland, Toronto, Canada, London, United Kingdom and 11 more places

7 of their 51 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 21 checks run
  • 2 red flags

Still hiring?

14 checks

No red flags

How crowded?

7 checks

2 red flags

Fits Me

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  • Must-haves
Details12 facts · Role, Location, Compensation, Company
Tech stack
  • Python
  • Java
  • SQL
  • AWS
  • Google Cloud
  • MongoDB
  • Azure
  • LLMs
Seniority
Senior
Equity
Equity offered
Industry
SaaS
Specialty
Forward Deployed
Region
United States
Show 6 more factsShow less

Role

Category
Solutions & Support
Specialty
Forward Deployed
Seniority
Senior
Experience
8+ years
Tech stack
  • Python
  • Java
  • SQL
  • AWS
  • Google Cloud
  • MongoDB
  • Azure
  • LLMs

Location

Work model
Office
Region
United States
Offices
  • Austin, United States
  • Boston, United States
  • Dallas, United States
  • Denver, United States
  • Houston, United States
  • Los Angeles, United States
  • Nashville, United States
  • New York City, United States
  • Palo Alto, United States
  • Philadelphia, United States

Compensation

Salary
$126,000 - 248,000 / year
Pay period
Annual
Equity
Equity offered

Company

Industry
SaaS

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