Senior Staff Forward Deployed AI Engineer, MongoDB

$168-330k

SQL
Python
Java
Senior and Expert level
Remote in US
San Francisco Bay Area
MongoDB

Developer data platform

Open for applications

MongoDB

Developer data platform

1001+ employees

B2BEnterpriseBig dataCloud Computing

Open for applications

$168-330k

SQL
Python
Java
Senior and Expert level
Remote in US
San Francisco Bay Area

1001+ employees

B2BEnterpriseBig dataCloud Computing

Company mission

To empower innovators to create, transform, and disrupt industries by unleashing the power of software and data.

Role

Who you are

  • 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 versus microservices architectures, including the complexities of application migration
  • 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

What the job involves

  • As a Forward Deployed AI Engineer on our newly formed Field Engineering team, you’ll directly contribute to the future of MongoDB’s ecosystem and product roadmap
  • You’ll work directly with enterprise customers on high-impact projects, leveraging Generative AI tools to modernize legacy workloads and accelerate their adoption of microservices-based architectures
  • This is a rare chance to combine hands-on technical work with strategic influence, helping customers and MongoDB alike navigate the transformative power of AI and machine learning
  • Partner with enterprise customers to modernize applications, optimize performance, and unlock the potential of their data with MongoDB
  • This role is available remotely anywhere within the U.S
  • What You’ll Do
  • Evaluate and implement AI-powered tools, prototype innovative solutions, and influence MongoDB’s product direction
  • Collaborate across technical and services teams to identify opportunities for transformation and develop scalable, resilient solutions

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Insights

Top investors

13% employee growth in 12 months

Company

Company benefits

  • Rich health insurance coverage
  • Virtual & on-site fitness classes
  • Health screenings & telemedicine
  • Access to transgender-inclusive health insurance coverage
  • Global and internal mobility opportunities
  • Equity & Employee Stock Purchase Program
  • Pension & retirement programs
  • Income Protection
  • Flexible PTO is offered to every US employee & competitive time off policies for non-US employees
  • Employee Assistance Program
  • Mental health counseling
  • Free meditation app access
  • Fertility & adoption financial assistance
  • Parental counseling for new parents
  • 20 weeks of fully paid gender neutral parental leave & flexible work arrangements
  • 4 weeks of emergency care leave

Funding (last 2 of 8 rounds)

Jan 2015

$80m

SERIES G

Oct 2013

$150m

SERIES F

Total funding: $311.1m

Our take

MongoDB is an open-source, cross-platform, document-oriented database system. It stores data as JSON-like documents and is written in C++, Go, JavaScript and Python.

Essentially, the company develops tools and blueprints to help businesses and organisations modernise their legacy applications, migrating them to the MongoDB database and the MongoDB Atlas cloud database. With this initiative, MongoDB is particularly taking aim at Oracle customers with ageing applications running on the Oracle relational database system.

Since its release, MongoDB has become one of the most popularly used NoSQL database systems due to its ease of use and efficiency. It is also the fastest-growing database ecosystem, and boasts hundreds of millions of downloads. Recently, the company announced a partnership with Patronus AI, an automated evaluation and security platform, through which it will bring automated LLM evaluation and testing capabilities to enterprise customers.

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Freddie

Company Specialist at Welcome to the Jungle