Senior Enterprise Account Executive Pub Sector Dod Intelligence Community jobs at Mongodb in United States, Washington

This role can be based out of San Francisco, Seattle, or remotely in the US region.

Leadership & Strategic Partnership Management

• Lead and mentor a team of Partner Solution Architects, cultivating strong relationships across the partner ecosystem
• Develop and execute strategic initiatives to align partner success with MongoDB’s objectives
• Collaborate with cross-functional teams (product, engineering, sales) to drive strategic business plans for partner engagement

Technical Enablement & Market Relevance

• Equip partners with knowledge and resources to ensure technical alignment and support go-to-market success
• Help partners understand and position MongoDB solutions to meet evolving market needs
• Serve as a trusted advisor, reinforcing MongoDB’s competitive advantage within the partner ecosystem

Business Development & Ecosystem Expansion

• Work closely with sales and marketing to identify ecosystem opportunities, driving joint business growth and expanding market reach
• Oversee the creation of co-branded solutions and proposals, supporting revenue targets and mutual alignment
• Address partner challenges by providing relevant business and technical solutions

Inclusive Leadership & Team Development

• Foster a high-performance, inclusive team culture focused on growth, mentorship, and diversity of thought
• Champion best practices in partner engagement and strategic planning, ensuring a supportive environment for all team members
• Build team agility to respond effectively to shifting market and partner dynamics

Cross-functional Collaboration & Communication

• Serve as a liaison between MongoDB’s internal teams and partners, providing timely updates and strategic insights
• Communicate complex concepts accessibly to ensure stakeholder alignment
• Represent MongoDB at events and forums, strengthening its reputation as a partner-centric organization

• 5+ years of experience in partner management, solution architecture, or related roles, with a strategic focus and at least 6-8 years in a leadership capacity
• Strong background in developing and executing strategies for partner engagement and success, ideally within technology or cloud environments
• Excellent relationship-building skills with an ability to engage and influence senior leaders across diverse partner organizations
• Strong communication and collaboration skills, with an ability to articulate both business and technical value to a wide range of audiences
• Commitment to inclusivity and fostering a diverse, equitable team environment
• Bachelor’s degree in Business, Computer Science, or a related field, or equivalent experience; advanced degree or relevant certifications are a plus
• Willingness to travel up to 30% to support partner engagement

• An opportunity to drive MongoDB’s impact within the rapidly growing partner ecosystem, shaping the future of data solutions across various industries
• Exposure to a dynamic, inclusive work environment that values diversity of experience, thought, and background
• A role in a mission-driven company that prioritizes professional growth, personal wellbeing, and societal impact

• Have an in-depth and detailed understanding of MongoDB products to confidently provide mentorship for your Sales team
• Enable, develop and empower your team to proactively prospect, identify, qualify, and build sales pipeline
• Coach the team to grow existing business and to navigate complex negotiations and organizations
• Evangelize our validated sales methodology MEDDIC and drive adoption and expertise within your team
• Actively recruit Account Executives for your team, according to MongoDB’s hiring criteria
• Onboard and ramp new Account Executives and accelerate their productive capacity
• Foster strong and effective relationships, resulting in growth opportunities
• Run weekly forecast meetings
• Scale, strategically plan, and develop sales territories

• 2+ years experience with recruiting and managing a highly successful and talented direct software sales team while driving them towards success
• 5+ years 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

• 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 well above the industry average in development of each of our new hires & continuous career development
• Best in breed Sales trainings in MEDDIC and Command of the Message, including our comprehensive Sales Bootcamps and development programs
• New hire stock equity and employee stock purchase plan
• Generous and competitive benefits (parental leave, fertility & wellbeing support)
• Friendly and inclusive workplace culture -

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

• Generate New Business Sales Cycle: Drive the entire sales cycle from prospecting to close, focusing on acquiring 100% net new logos within Core Enterprise accounts
• Collaborate for Success: Collaborate with BDR/SDR teams to maximize your pipeline generation efforts and ensure a steady flow of qualified opportunities
• Account Planning: Build detailed account plans that break down complex organizations into Lines of Business (LOBs), identify key personas within those LOBs (Org Charts), and form strategic Points of View (POVs) on how MongoDB can align with their key challenges and initiatives
• Strategic Prospecting: Strategically prospect into C-Levels, Engineering/IT Leaders, Architects, and technical end-users
• Meet and Exceed Targets: Close business to meet and exceed monthly, quarterly, and annual new business targets
• Forecasting Accuracy: Ensure high forecasting accuracy and consistency in all stages of the sales process
• Partner Collaboration: Partner with Solution Architects and work closely with the Professional Services team to tailor solutions that meet customer needs, ensuring long-term satisfaction and retention
• Leverage Partner Ecosystem: Work in tandem with the enterprise ecosystem partner sales and channel partners to enhance the pipeline and accelerate sales cycles
• Continuous Learning: Participate in our enterprise sales enablement training to continually refine your sales skills and strategies

• Proven track record of closing multiple complex logos with a TAMM above $1M
• Demonstrated ability to articulate the business value of complex enterprise technology to diverse stakeholders
• Familiarity with databases, developers, and open-source technology is a plus
• A history of overachievement, consistently hitting or exceeding sales targets
• Skilled in building and nurturing business champions within target accounts, navigating complex sales cycles with a strategic, consultative approach
• Experience in value selling using a structured process (e.g., MEDDIC, SPIN, Challenger Sales)
• Adept at managing time and resources effectively, with a sound approach to qualifying opportunities
• Exceptional emotional intelligence, with the ability to influence and inspire stakeholders across all levels of an organization
• Ideally based within the territory with the flexibility to travel as needed to meet with key stakeholders and drive sales

• Proven track record of closing logos with a TAMM at or above $3M
• 2+ years of experience selling within the Enterprise Segment, with a proven track record of success
• Advanced understanding of MongoDB products and their application in solving enterprise challenges
• Strong network within the enterprise technology space, which can be leveraged to accelerate pipeline growth
• Experience working within and driving adoption of the MEDDIC sales methodology
• Demonstrated success in collaborating with cross-functional teams, such as Solution Architects and Professional Services, to deliver tailored solutions
• Proven ability to quickly adapt to changing market conditions and customer needs, maintaining a flexible and innovative approach to sales

The MongoDB Product Security organization works with software engineers to design, implement, and operate systems in a manner that protects customer data. It is a multidisciplinary team that covers product, software, cloud, infrastructure, and operational security concerns. The team does the following:

• Build a developer driven security program where there is tight integration with engineering artifacts, process, and tooling
• Use software architecture and coding patterns to reduce the impact of security issues
• Be security subject matter experts for our tech stack and products

• You will take ownership, define strategy, and drive improvement for parts of our program such as fuzzing, threat modeling, secrets management, or container security
• Advocate for and lead complex security projects from inception through completion
• Drive architecture, patterns, and processes across cloud engineering that make security the easiest path
• Partner closely with engineering teams to design and implement security controls across our software and systems
• Research and POC new attacks against our systems. Plan and perform product security assessments including architecture review threat modeling, code review, pen testing and general security consulting to proactively build security controls
• Serve as a security subject matter expert for software security and architecture
• Partner with cloud detection and response to create new capabilities or respond to security events
• Educate the engineering org on security through CTFs, lunch-and-learns, and one-on-one mentorship

• 7 years of experience in application security, software security, or product security
• Demonstrated expertise in C++ programming to thoroughly assess existing codebases for security vulnerabilities and develop or support remediations and enhancements including mitigating memory-related security flaws such as buffer overflows and memory leaks
• Deep subject matter expertise in database security, application security, software security, or data security
• Deep knowledge database engines,database internals and applied cryptography
• Demonstrated ability to identify and fix security issues through manual code review, application penetration testing, or red teaming
• Scripting experience and ability to contribute code back to our environments
• Comfortable leading threat modeling and being a security ambassador to other engineering teams
• Communicate complex technical issues in a simple manner that builds trust with a variety of audiences
• A strong sense of ownership and delivery
• Can facilitate a conversation rather than dominate it
• Skilled at providing collaborative, actionable feedback, not just a list of flaws

• Working knowledge of one or more major cloud providers (AWS, GCP, or Azure)
• Experience with large scale environments

• Taking ownership of one or more security programs such as appsec, cloud, or detect/response
• Seeing projects through from conception to completion in order to deliver new services or capabilities for the team
• Establishing yourself as a go-to person for discussing security topics

The MongoDB Product Security organization works with software engineers to design, implement, and operate systems in a manner that protects customer data. It is a multidisciplinary team that covers product, software, cloud, infrastructure, and operational security concerns. The team does the following:

• Build a developer driven security program where there is tight integration with engineering artifacts, process, and tooling.
• Use software architecture and coding patterns to reduce the impact of security issues.

Be security subject matter experts for our tech stack and products.

• You will take ownership, define strategy, and drive improvement for parts of our program such as fuzzing, threat modeling, secrets management, or container security
• Advocate for and lead complex security projects from inception through completion
• Drive architecture, patterns, and processes across cloud engineering that make security the easiest path
• Partner closely with engineering teams to design and implement security controls across our software and systems
• Research and POC new attacks against our systems. Plan and perform product security assessments including architecture review threat modeling, code review, pen testing and general security consulting to proactively build security controls
• Serve as a security subject matter expert for software security and architecture
• Partner with cloud detection and response to create new capabilities or respond to security events
• Educate the engineering org on security through CTFs, lunch-and-learns, and one-on-one mentorship

• 7 years of experience in application security, software security, or product security
• Demonstrated expertise in C++ programming to thoroughly assess existing codebases for security vulnerabilities and develop or support remediations and enhancements including mitigating memory-related security flaws such as buffer overflows and memory leaks
• Deep subject matter expertise in database security, application security, software security, or data security
• Deep knowledge database engines,database internals and applied cryptography
• Demonstrated ability to identify and fix security issues through manual code review, application penetration testing, or red teaming
• Scripting experience and ability to contribute code back to our environments
• Comfortable leading threat modeling and being a security ambassador to other engineering teams
• Communicate complex technical issues in a simple manner that builds trust with a variety of audiences
• A strong sense of ownership and delivery
• Can facilitate a conversation rather than dominate it
• Skilled at providing collaborative, actionable feedback, not just a list of flaws

• Working knowledge of one or more major cloud providers (AWS, GCP, or Azure)
• Experience with large scale environments

• Taking ownership of one or more security programs such as appsec, cloud, or detect/response
• Seeing projects through from conception to completion in order to deliver new services or capabilities for the team
• Establishing yourself as a go-to person for discussing security topics

As a senior software engineer on the Atlas Data Federation (ADF) team, you’ll be trusted with high-impact, high-visibility work on a rapidly growing platform. You’ll have the opportunity to design and implement core components of our distributed query engine. Your work will directly improve the performance, memory efficiency, and reliability of our systems. In addition, you’ll play a key role in improving our distributed control plane, which manages infrastructure and workload routing across the system. You'll participate in on-call rotations, leading incident response and postmortem analysis. Collaboration is central to this role—you’ll partner closely with other MongoDB teams, including those working on drivers, the core server, and cloud services, to ensure seamless integration and a cohesive developer experience.

• 3+ years of experience working on database or storage internals, or building core components of data processing systems such as query execution engines, storage layers, workload optimization, or autonomous tuning
• Proficiency in systems programming with languages like Go, Java, C++, or Rust
• Hands-on experience building and operating distributed systems at scale
• Excellent verbal and written technical communication skills and desire to collaborate with colleagues, mentor fellow engineers and lead projects
• Bachelor’s or Master’s degree in Computer Science or a related field, or equivalent practical experience

• In 3 months, you’ll have contributed to a key project and fixed a few impactful bugs
• In 6 months, you’ll be reviewing code and involved in design discussions for new features
• In 12 months, you’ll lead a major initiative and mentor newer engineers on the team