Senior Software Engineer Atlas Dedicated jobs at Mongodb in United Kingdom

• Proactively, identify, qualify and close a sales pipeline
• Strategically prospect into CTOs, Engineering/IT Leaders, & technical end users
• Build strong and effective relationships, resulting in growth opportunities
• Partner with our Solution Architects and work closely with the Professional Services team to achieve customer satisfaction
• Work closely with the enterprise ecosystem partner sales and channel partner to maximize deal sizes
• Participate in our sales enablement trainings, including our comprehensive Sales Bootcamp, sophisticated sales training, and leadership and development programs

• 4+ years field experience of quota-carrying experience in a fast-paced and competitive market
• Demonstrated ability to grow accounts and run a complex sales process to Enterprise clients
• A proven track record of overachievement and hitting sales target
• Ability to articulate the business value of complex enterprise technology
• Skilled in building business champions
• Driven and competitive. Possess a strong desire to be successful

• Passionate about growing your career in the largest market in software (database)
• Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales)
• Familiarity with databases, develops and open source technology a plus

• Proactively, identify, qualify and close a sales pipeline
• Strategically prospect into CTOs, Engineering/IT Leaders, & technical end users
• Build strong and effective relationships, resulting in growth opportunities
• Partner with our Solution Architects and work closely with the Professional Services team to achieve customer satisfaction
• Work closely with the enterprise ecosystem partner sales and channel partner to maximize deal sizes
• Participate in our sales enablement trainings, including our comprehensive Sales Bootcamp,
  sophisticated sales training, and leadership and development programs

• 4+ years field experience of quota-carrying experience in a fast-paced and competitive market
• Demonstrated ability to grow accounts and run a complex sales process to Enterprise clients
• A proven track record of overachievement and hitting sales targets
• Ability to articulate the business value of complex enterprise technology
• Skilled in building business champions
• Driven and competitive. Possess a strong desire to be successful

• Passionate about growing your career in the largest market in software (database)
• Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales)
• Familiarity with databases, develops and open source technology a plus

This role will be based remotely in London.

• Lead engagements with customers using a value-based selling approach to build a compelling narrative that covers the current state, the desired future state, the value in closing the gap, and a delivery plan to ensure their success
• Manage existing customers in Value Realization activities to ensure they understand the value achieved, improvement opportunities and new value opportunities
• Lead the development of Business Value Consulting collateral for internal and customer-facing use as new MongoDB initiatives are released, and when a gap or need of the practice is identified
• Use business, technical, and financial analyses to understand the baseline and future state capabilities of the customer
• Create and present the business case and the forecasted business impact the customer can achieve using MongoDB solutions
• Translate technical concepts and recommendations into business benefits for management and executives
• Coach the sales organization, to impact both tactical and strategic opportunity success of our field sales force
• Serve as a mentor to sellers to provide input and recommendations into their account and opportunity plans
• Travel is required but varies throughout the year

• B.A. / B.S. from an accredited college; preference for Business Management, Economics, Finance or related degree
• Proven experience as a Business and Technology Strategy Consultant with Business Case experience
• 10+ years professional experience across the IT industry, technology strategy, pre-sales consulting for software vendors, application development and data
• Business and financial modeling expert, familiarity with key financial metrics: ROI, TCO, NPV, IRR
• Power user in productivity tools, custom building spreadsheets, presentations and data visualizations
• Lead discovery to facilitate interview sessions with both business and technical stakeholders on the customer side
• Demonstrated experience addressing executive and senior level stakeholders
• Strong technical understanding of enterprise infrastructure, technology stack, software development methodologies (SDLC, Agile, DevOps), RDBMS and/or NoSQL software

• Ability to adapt to customer situations
• Ability to articulate value from both pre-sale and post-sale view
• Experience for a software vendor in a business value role

• 3+ years of experience in data intensive environments
• Hands-on experience building industrial-strength software
• Solid computer science fundamentals, with strong competencies in data structures, algorithms, and software design/architecture
• Experience with large code bases
• B.Sc in Computer Science or similar field, or equivalent practical experience
• Experience in developing database systems is a plus
• Interest in the theory and practice of database query engines. Hands-on experience or M.Sc./Ph.D in the domain is a plus

• Understand and improve current functionality of the MongoDB query engine
• Identify, design, implement, test, and support new features related to query performance and robustness, query language enhancements, diagnostics for query performance problems, and integration with other products and tools
• Work with other engineers to coordinate seamless changes in a feature-rich, large code base
• Work with other teams including client drivers, cloud services, enterprise tools, support, consulting, education, and marketing to coordinate changes or contribute to their projects

• In three months you’ll have contributed to the development of a project slated for the next major version, as well as fixed a few bugs in a minor version of our latest stable release series
• In six months, you’ll have taken on code review responsibilities and are involved in reviewing the design for new features
• In twelve months, you’re making significant contributions to the development of a new major features

• Proactively, identify, qualify and close a sales pipeline
• Strategically prospect into CTOs, Engineering/IT Leaders, & technical end users
• Build strong and effective relationships, resulting in growth opportunities
• Partner with our Solution Architects and work closely with the Professional Services team to achieve customer satisfaction
• Work closely with the enterprise ecosystem partner sales and channel partner to maximize deal sizes
• Participate in our sales enablement trainings, including our comprehensive Sales Bootcamp, sophisticated sales training, and leadership and development programs

• 7+ years of field experience of quota-carrying experience in a fast-paced and competitive market with a focus on closing net new logos
• Demonstrated ability to open new accounts and run a complex sales process
• A proven track record of overachievement and hitting sales targets
• Ability to articulate the business value of complex enterprise technology
• Skilled in building business champions
• Driven and competitive. Possess a strong desire to be successful
• Preference, Fluency in Arabic - nice to have
• Must live in territory

• Passionate about growing your career in the largest market in software (database)
• Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales)
• Familiarity with databases, develops and open source technology a plus

• MongoDB invests heavily in the development of each of our new hires & continuous career development
• Accelerators up to 30%
• Best in breed Sales trainings in MEDDIC and Command of the Message, including our comprehensive Sales Bootcamps and development programs
• New hire stock equity (RSUs) and employee stock purchase plan
• Generous and competitive benefits (parental leave, fertility & wellbeing support)

This role will be based remotely in London.

In this role, you will:

• 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

We're looking for a Senior Engineer with a strong background in computer science fundamentals and systems design to join our engineering team. In this role, you will be instrumental in designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform and code generation tools. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation. While our immediate focus is on this domain, this role emphasizes strong foundational engineering principles that apply broadly to complex, high-performance systems.
Deep prior experience with AI models or machine learning is not a requirement; your strong grasp of core computer science is what matters most, and you'll be given ample time and resources to build expertise in the AI domain. You will work on critical components that ensure the scalability, efficiency, and reliability of our services, collaborating closely with AI researchers and other engineers to translate complex requirements into robust technical solutions.

As a Senior Engineer, you'll be hands-on with design and implementation, while working with engineers across experience levels to build a robust, scalable system. The focus is on performance, correctness, and architectural excellence in a rapidly evolving, data-intensive environment.

• Design, implement, and optimize high-performance data structures and algorithms for core components of our generative AI orchestration platform.
• Design and develop efficient data pipelines and storage solutions for AI model integration and output processing.
• Collaborate with AI researchers and machine learning engineers to understand data needs.
• Identify and address performance bottlenecks and architectural challenges in our systems, particularly within data flow and orchestration.
• Contribute to platform features like data versioning, efficient data retrieval, and ensuring data integrity for AI-generated code and related metadata.
• Mentor and guide junior and senior engineers on best practices in data structures, algorithms, and database design.
• Participate in code reviews, design discussions, and contribute to the overall technical direction of the team.
• Work to develop robust and efficient backend services that orchestrate AI functionalities.

• 5+ years of engineering experience in backend systems, distributed systems, or core platform development.
• Deep expertise in data structures and algorithms, with a proven track record of applying them to solve complex problems.
• Proficiency in one or several of Java, Rust, C/C++, and/or Python, with a strong understanding of systems-level programming, memory management, and performance tuning.
• Experience designing and building highly available, low-latency systems.
• Ability to diagnose and troubleshoot complex technical issues in production environments.
• Excellent problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment.
• Proven ability to collaborate across disciplines and experience levels, from researchers to junior engineers.
• Deep understanding of SQL ( preferably Oracle ), including advanced querying, schema design, and database optimization for performance and scalability.
• You have a strong desire to understand complex problem spaces and own solutions.

• Familiarity with cloud-native distributed systems (e.g., Kubernetes, Kafka).
• Experience with NoSQL databases and understanding of their trade-offs is great, but not required. We'll teach you NoSQL.
• Contributions to relevant open-source projects.

Within the first three months, you will have:

• Familiarise yourself with the MongoDB database and aggregation language.
• Familiarise yourself with the problem space and the domain.
• Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks.
• Started collaborating with your peers and contributed to code reviews.

Within six months, you will have:

• Worked on and delivered a large-scale code generation feature in the product.
• Contributed to and helped deliver a few product releases.
• Reviewed and contributed to scope and technical design documents.

Within 12 months, you will have:

• Delivered large-scale features across our entire tech stack.
• Helped recruit and interview new members of the team.
• Collaborated with other teams at MongoDB.