MongoDB-posted 4 months ago
$137,000 - $270,000/Yr
Full-time • Mid Level
5,001-10,000 employees

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. At MongoDB, we believe data is at the core of the AI era. As AI-powered applications evolve from prototypes to mission-critical solutions, the foundation for success lies in designing systems that provide relevant and trustworthy responses. MongoDB is redefining the role of the database in this landscape, positioning our data layer as the cornerstone of modern AI applications. To support our customers’ journey, we are expanding our AI offerings and resources, demonstrating how our data platform powers the evolving AI tech stack. With the acquisition of Voyage.ai and our dedicated AI Practice, we are accelerating our product capabilities and working closely with customers to bring their AI ambitions to life. This role can be based out of any of our office locations in the United States or remotely across the United States.

  • Embed deeply with strategic customers, gaining a thorough understanding of their business strategy, challenges and technical requirements within the context of AI
  • Architect, design, and implement end-to-end AI solutions using an iterative, experiment-driven approach
  • Scope projects, define deliverables, and create actionable plans for both rapid prototypes and enterprise-scale deployments
  • Hands-on develop scalable, secure, and performant AI solutions, working side-by-side with customer engineering teams
  • Prototype and iterate solutions leveraging MongoDB Atlas, cloud technologies, LLMs, and generative AI technologies
  • Provide technical leadership to ensure architectural alignment, quality, and successful customer outcomes
  • Actively engage with emerging AI technologies to stay ahead of trends, incorporating new insights into customer solutions
  • Collaborate closely with our Sales teams, Solution Architects, Product, and wider Professional Services to deliver high-impact, scalable solutions that drive measurable business outcomes
  • Contribute to internal knowledge sharing, creating resources, best practices, and reusable assets that scale the broader AI capability across MongoDB
  • Have 5+ years of experience in software development, customer engineering, solution architecture, or similar roles, including at least 2 years dedicated to designing and implementing AI solutions
  • Demonstrate a strong customer-centric approach and excellent communication skills, capable of clearly articulating complex technical solutions to diverse audiences
  • Proficiency in building modern, full-stack applications with back end development in Python, Node.js, or Java, and front end development with frameworks like React, Angular or Next.js
  • Understand and have implemented AI solutions like Retrieval-Augmented Generation (RAG) systems, and LLMs for real-world, real-time applications
  • Have hands-on experience deploying scalable AI applications on cloud environments (AWS, Azure, GCP)
  • Demonstrate deep understanding of modern development practices, including CI/CD, test-driven development, and microservices
  • Demonstrable experience in rapidly evolving, high-uncertainty projects, turning ambiguous problems into clear, measurable solutions
  • Are willing to travel up to 30% to engage directly with strategic customers
  • Hold an advanced degree (MSc or PhD) in AI, Data Science, Machine Learning, or related fields
  • Experience in R&D within the data science, AI/ML space especially around differing AI domains (agentic, discriminative, perceptual, conversational, reinforcement etc), data processing, optimisation, prompt engineering, model validation, model fine tuning and reranking
  • Have knowledge of AI ethics, governance, and compliance frameworks
  • Are proficient in additional languages such as French, Spanish, Italian, German, or Mandarin
  • 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
  • Health benefits offerings
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