We are seeking a highly skilled Staff IT Product Manager for Internal AI to drive the strategy, delivery, and adoption of AI-powered solutions across our enterprise IT landscape. This role will be pivotal in shaping how AI transforms our internal operations, from service delivery and knowledge management to automation and decision support. The ideal candidate has a proven track record of managing enterprise-scale AI/ML products, collaborating across IT and business functions, and delivering measurable impact.

We are looking to speak to candidates who are based in San Francisco, CA or Palo Alto, CA for our hybrid working model.

Key Responsibilities

• AI Product Strategy & Roadmap
• Define and execute the internal AI product strategy aligned with enterprise IT and business goals
• Own multiple product lines in the internal AI product space
• Prioritize high-value use cases across IT functions (helpdesk, infrastructure, security, applications, enterprise data)
• Balance quick wins (AI copilots) with longer-term bold initiatives (AI-driven automation and decision-making)
• Experience in implementing AI solutions for enterprises our size and scale.  This should include enabling agentic platforms for organizations and bringing to the table the best practices, pitfalls and learnings from such experiences
• Product Management Execution
• Embrace the product mindset and own the lifecycle of AI products—from ideation, critical user journey definition, requirements gathering, vendor evaluation, prototyping, and implementation to scaling in production
• Define and manage product backlogs, roadmaps, and success metrics
• Drive adoption and ensure AI solutions are delivering measurable outcomes (efficiency, cost savings, user experience)
• Stakeholder Engagement
• Partner with IT leaders (Applications, Infrastructure, Security, Service Desk) to identify pain points and AI opportunities
• Collaborate with business stakeholders to ensure alignment and secure sponsorship for AI initiatives
• Communicate product vision, progress, and value realization to executive leadership
• Governance & Risk Management
• Ensure AI adoption complies with enterprise governance, security, privacy, and compliance standards
• Work with data teams to ensure responsible AI practices and guardrails are in place
• Team Leadership & Evangelism
• Serve as a thought leader and evangelist for AI within IT, driving awareness, education, and adoption
• Mentor junior product managers and contribute to building a culture of innovation in IT

Qualifications

• 10+ years of product management experience, with at least 3 years in AI/ML, automation, or enterprise IT solutions
• Strong understanding of IT service delivery, enterprise applications, and internal operations
• Demonstrated success delivering AI or advanced analytics products at scale in a corporate environment
• Experience with AI platforms (e.g., OpenAI, Anthropic, Azure AI, AWS AI, Google Cloud AI) and integration with IT systems (ZenDesk, SuccessFactors, Salesforce, etc.)
• Excellent communication and stakeholder management skills, with ability to influence at all levels
• Familiarity with responsible AI practices, data governance, and compliance requirements
• Bachelor’s degree in Computer Science (preferred), or related field (MBA or advanced degree preferred)

Success Measures

• Delivery of high-value AI use cases that improve IT efficiency and business outcomes
• Adoption of AI solutions across IT teams and end users
• Measurable cost savings, productivity improvements, and enhanced employee experience
• Positive feedback from stakeholders on AI innovation and impact

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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, 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.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 1273405795

We are seeking a Senior Staff Enterprise Architect, Q2C & Monetization to drive the strategy, technical design, and modernization of our Quote-to-Revenue processes. This is a high-impact, hybrid role operating at the intersection of Enterprise Architecture strategy and pragmatic Solution Architecture execution.

Because we operate as a leaner, high-growth IT organization, this role requires a leader who can define the "big picture" strategy but also actively lead technical design and partner with delivery teams to unblock implementation. You will own the architecture for our monetization platforms, enabling scale for "MongoDB 3.0" by minimizing manual intervention and designing tools for continuous improvement. This role offers rare breadth: the ability to shape architecture across domains that larger organizations silo, with direct visibility to executive decision-making.

A critical component of this role involves Q2C and Financial transformation: You will be responsible for navigating the complex "buy vs. build" landscape of billing engines—specifically focusing on usage-based and consumption modeling—while ensuring our architecture acts as a catalyst for AI-driven business transformation.

We're looking to speak with candidates based in Palo Alto for our hybrid working model.

Key Responsibilities

• Q2C Strategy & Integration Roadmap
• Define and execute the architecture strategy for consumption-based business models. You will lead critical decisions on whether to leverage custom-built billing solutions (leveraging MongoDB) or vendor platforms, ensuring the solution can handle high-volume usage metering and complex pricing logic
• Define the integration strategy that binds the Q2C landscape. You will determine how "First Party" (internal product/usage data) and "Third Party" (CRM, CPQ, ERP) systems interoperate, moving us toward real-time data availability for Finance and Sales
• Analyze cross-functional business processes to recommend new approaches via technology enablement, investigating operational requirements to seek effective solutions through automated and non-automated components

• Systems Design & Integration Architecture
• Design robust integration patterns (REST APIs, Event-Driven/Streaming, SOA) to decouple systems while ensuring data consistency. You will architect the flow of usage data from the MongoDB product platform into the billing engine and downstream to the General Ledger
• Specify and design solutions across the Q2C landscape (CRM, CPQ, ERP). You will contribute to solution scoping, effort sizing, and strictly translate IT solutions into technical delivery consistent with standards
• Define data ingestion and integration architectures that reduce availability latency. You will specify patterns (e.g., CDC, batch vs. real-time) that balance performance with cost, ensuring billing data is accurate and timely

• Data, AI & Innovation
• Define the AI architecture strategy for the revenue cycle, establishing the data foundations (golden records, vector search, RAG patterns) required before AI can deliver value. Own the roadmap for deploying AI capabilities — such as anomaly detection in billing, intelligent quoting assistants, and deal scoring — with clear sequencing from foundational data quality through to production deployment
• Act as "Customer Zero" for internal technologies, identifying opportunities to deploy MongoDB Atlas and vector search capabilities within our own monetization technology stack

• Governance, Standards & Risk Management
• Define and maintain architecture principles, guardrails, and standards for the Q2C ecosystem, leading governance activities to ensure solutions align with the target state
• Evaluate impact analyses on major projects (e.g., new pricing models), assessing associated risks to ensure solution delivery complies with enterprise security and SOX/GDPR standards

• Team Leadership & Evangelism
• Build architecture community of practice: host monthly deep-dives, share best practices, facilitate cross-team collaboration, and maintain a knowledge base
• Serve as the senior technical authority across architecture disciplines — data, integration, solution, and AI — providing mentorship and design guidance to engineers and architects embedded across delivery teams, elevating architectural thinking organization-wide

Qualifications

• 15+ years of progressively responsible experience in information technology, with substantial senior-level experience in Enterprise Architecture and Solution Architecture
• You must have 10+ years of experience designing complex, event-driven integrations using modern middleware, APIs, microservices, and data streaming technologies to connect high-volume usage engines with financial systems
• Deep expertise in usage-based/consumption-based billing platforms. You must have proven experience navigating "buy vs. build" decisions for billing engines and understanding the trade-offs between custom implementations versus vendor solutions
• Expertise in CPQ, Billing, and common go-to-market and finance business processes. Led architecture for large-scale implementations that delivered measurable business outcomes: CRM, Enterprise Data Platforms, Data Lakes, or ERP systems
• Proven success in applying a structured approach to architecting innovative solutions, with a track record of supporting delivery teams through the full SDLC
• Experience implementing or architecting data-intensive applications. Demonstrated experience architecting AI-integrated enterprise systems, including RAG patterns, vector search, and LLM integration with structured data pipelines
• Experience managing vendor evaluations, contract negotiations, and ongoing partner relationships
• Bachelor's degree in computer science, computer engineering, electrical engineering, systems analysis, or a related field; MS or advanced degree is preferred

Core Competencies

• Leadership: Leads cross-functional teams through influence, navigates conflict, and drives results without direct authority
• Communication: Translates complex technical concepts for executive and business audiences. Strong written, visual, and presentation skills
• Financial & Analytical: Builds business cases with TCO analysis and ROI projections. Defines measurable success metrics
• Change Management: Drives technology adoption while addressing stakeholder concerns and resistance
• Technical Pragmatism: Cuts through vendor hype. Makes build vs. buy decisions grounded in business value and risk
• Influence Without Authority: Shapes technical direction through credibility and collaboration, not mandate
• Methodologies: Working knowledge of Agile, ITIL, and design thinking practices

Success Measures

• Delivery of high-value Q2C technology use cases that improve operational efficiency and directly contribute to strategic business goals
• Implementation of solutions that adhere to security, scalability, and observability standards, ensuring that cross-system integrations (Product to Cash) meet service quality requirements in production
• Successful deployment of AI-driven capabilities within the quoting or billing process (e.g., reducing manual interventions or billing errors)
• Reduce the time-to-quote and data availability latency for financial reporting through optimized architectural patterns
• Maintain architecture review cadence (bi-weekly) with <5 day SLA on design feedback

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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, 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.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 1273368199

The database market is enormous and accelerating. Industry analysts now estimate this market to exceed $150B in 2026, and MongoDB is at the head of its disruption. The MongoDB community is transforming industries and empowering developers to build amazing apps that people use every day. We are the leading modern data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity. 

MongoDB is seeking an Executive Business Partner to support our Chief Information Officer. The role will be based out of our Palo Alto office. 

This position is ideal for a dynamic, intelligent, highly-organized individual who takes ownership over the details and loves to get things done. In this role, your day will consist of managing and prioritizing a steady stream of requests, meetings, and trips, and working closely with the leaders and members of their teams. 

To succeed, you’ll have to balance the needs of multiple parties thoughtfully and diplomatically and be ready to pitch in wherever necessary. You should feel comfortable interacting with high-level executives and know how and when to manage in any direction in the organization, independent of role, title, or level. You can navigate Google Suite products or comparable ones and have proficiency to learn the necessary functions to execute tasks. You have excellent written skills and verbal skills. We have a team-based collaborative culture, and the successful candidate will enjoy building relationships and teamwork just as much as the challenges posed by the role.

Responsibilities

• Manage multiple requests and priorities of the Leaders while staying calm under pressure, exercising judgment, and seeing beyond the day-to-day to anticipate changing needs
• Manage the leader's calendar meticulously and thoughtfully, coordinating all meetings and calls, including video conferencing and team events
• Manage all travel and expenses, ready to handle international itineraries and last-minute changes
• Lead, drive, and execute various team events and offsite meetings, including ushering contracts through the procurement process and accounts payable for payment. At times, you will need to assist with onsite logistics of the events
• Liaise with executives to drive, create, and review correspondence, spreadsheets, slide decks, and meeting agendas 
• Track action items and key issues to closure with a high degree of integrity and accountability
• Think and plan ahead, delegate responsibilities appropriately, and manage time effectively
• Work with the senior leaders (direct reports, skip-levels, etc.) as needed to execute the duties of the job
• Work cross-functionally with a diverse range of individuals at all levels in the organization
• Assist with or deliver special assignments/projects
• Occasionally travel to support offsites or events

Requirements

• 8+ years of experience supporting one or more executives, specifically C-Suite or other relevant experience working directly with executives
• Bachelor's Degree or equivalent relevant work experience
• An ability to support a senior technical leader with global org of ~300
• Discretion, diplomacy, and excellent judgment; high degree of integrity when dealing with highly-sensitive and confidential material
• Demonstrate a high level of accountability 
• Operate on changing priorities with urgency
• Proficiency with Google Apps or similar, and video conferencing tools
• Thrive in a collaborative setting and excels at working with individuals at all levels of the organization
• Highly-organized with meticulous attention to detail and complex calendar management experience
• Experience with managing the complications of domestic and international travel
• Open to working the flexible hours demanded by this position
• Strong verbal and written communication skills
• Proven ability to keep a calm head under pressure, exercising judgment, and seeing beyond the day-to-day to anticipate changing priorities
• Takes feedback well, but also able to work autonomously with little direction and make decisions as needed

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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, 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.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 1273365507

About the Role

We’re looking for a Sr Staff Engineer, Quote-to-Cash (QTC) to design, optimize, and scale our end-to-end Q2C architecture across Salesforce CPQ, Malbek CLM, and NetSuite ERP.

You will be the functional and technical bridge between Sales, Legal, Finance, and IT, owning the design of a touchless transaction flow — from quote and contract creation to billing, revenue recognition, and cash application. 

This role requires deep expertise in Salesforce CPQ, a strong understanding of NetSuite financial processes & Provisioning automations and proven experience integrating CLM systems to create an automated, compliant, and auditable QTC experience.

Key Responsibilities

Solution Architecture & Process Design

• Own the end-to-end Quote-to-Cash architecture & development spanning Salesforce CPQ, CLM, and NetSuite ERP
• Design and implement a touchless transaction processing model, minimizing manual steps across quoting, contracting, billing, and revenue recognition
• Collaborate with Product managers and business stakeholders to gather requirements and translate them into scalable system solutions that balance automation, control, and compliance
• Work closely with the engineering teams to design, implement and operationalize the Q2C Solutions

Business Systems

• Lead system design for Salesforce CPQ, including product catalog architecture, pricing and discount rules, quote templates, and approval workflows
• Optimize quote-to-order conversion ensuring accurate data flow into downstream billing and ERP systems
• Implement governance on pricing, discounting, and quote approval thresholds to maintain margin and compliance integrity
• Partnering with Quoting & RevOps s to streamline quote generation, renewals, and amendment flows
• Improve deal velocity by streamlining approvals, leveraging A  in Salesforce CPQ
• Integrate CLM (e.g., Ironclad, Conga, or DocuSign CLM) with Salesforce to automate quote-to-contract and contract-to-order workflows
• Define metadata, clause libraries, and approval paths that enable self-service contract generation and touchless handoffs
• Ensure contract terms and deal attributes are accurately synchronized with Salesforce CPQ for accurate billing and revenue recognition downstream
• Design and govern integrations between Salesforce and NetSuite for order management, invoicing, and revenue recognition
• Define mappings between CPQ orders and NetSuite Sales Orders to support automated billing and journal entries
• Ensure strong data integrity, reconciliation processes, and audit readiness across CRM and ERP
• Design and oversee integrations using iPass tools such as Celigo, Workato, Boomi, or MuleSoft to ensure reliable and auditable data exchange across systems
• Implement event-based or API-driven integration patterns to support near real-time synchronization
• Establish monitoring, error handling, and reconciliation frameworks for transaction-level traceability
• Maintain architectural documentation, system diagrams, and process maps
• Ensure all solution designs adhere to SOX, data governance, and security compliance standards
• Identify and drive reduction of technical debt and manual touchpoints in the QTC ecosystem

Qualifications

Required

• 10+ years of experience in QTC or Finance Systems Architecture, with a focus on Salesforce CPQ and NetSuite ERP
• Proven experience integrating CLM platforms (Ironclad, DocuSign, or Conga) with Salesforce
• Accelerate the development lifecycle by utilizing AI for daily tasks, including coding, testing, and debugging
• Proven experience in automating end to end Touchless transactions across Q2C platforms using tools like Klarity and UiPath 
• Deep understanding of Quote-to-Cash business processes — including quoting, ordering, billing, provisioning and revenue recognition 
• Strong working knowledge of Salesforce data model, CPQ configuration (pricing rules, product bundles, approval chains), and NetSuite transaction workflows
• Experience with integration middleware (Celigo, Boomi, MuleSoft, Workato) and API design
• Exceptional analytical and problem-solving skills with a hands-on approach to system design and delivery

Preferred

• Deep experience in SaaS or subscription-based business models with recurring or usage-based revenue
• Exposure to Salesforce Billing or external billing tools integrated with NetSuite
• Prior experience designing touchless QTC flows in a SOX-compliant environment

Success in this Role Looks Like

• Deals progress from quote → contract → order → invoice → revenue with minimal manual intervention
• Salesforce, CLM, and NetSuite operate as a cohesive ecosystem, with synchronized data and clear ownership boundaries
• Finance and Sales teams have trust in system-driven accuracy — reducing close timelines and manual reconciliations
• You’re recognized as the go-to solution architect for all Quote-to-Cash initiatives

Why Join Us

You’ll be at the heart of modernizing how we recognize and grow revenue — architecting a frictionless, automated, and compliant Quote-to-Cash experience across Salesforce, CLM, and NetSuite. Your work will directly impact business velocity, revenue predictability, and cross-functional alignment between Sales, Legal, and Finance.

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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, 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.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 1273405378

The Application Modernization Platform (AMP) team is tackling one of the industry's most critical challenges: leveraging Generative AI to transform rigid, legacy applications into modern, microservices-based architectures powered by MongoDB. A core difficulty in legacy code transformation is guaranteeing the equivalence of the new application's business logic, ensuring it operates smoothly and efficiently with the new MongoDB data ecosystems in a reliable and scalable manner. The success of this mission heavily relies on the essential tools developed by the CodeGen team.

We are looking for an experienced Senior Lead Software Engineer with a strong background in database ecosystem, reshaping complex large-scale services and team leadership. You will lead a talented team building a complex product suite using GenAI capabilities. The ideal candidate is a hands-on technical leader who can drive architectural decisions, mentor engineers, and collaborate closely with product management to deliver a product that solves our customers' most challenging application transformation problems.

This role will be based in North America west coast, and offers a hybrid working model. 

The ideal candidate for this role will have

• 10+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure
• 2+ years of experience leading, coaching, and mentoring a team of software engineers to achieve high-impact results
• Extensive product experience in building enterprise-grade analytics systems for data streaming or data tooling
• Extensive experience with relational and document data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc) and at least one document database (e.g. MongoDB)
• Having experience in using GenAI in building complex large-scale systems, and knowing what GenAI is best suited to do, is a plus
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills
• Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity

Position Expectations

• Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement
• Drive the architectural vision and long-term technical roadmap for the Code Gen product suite, ensuring it is scalable, reliable, and performant
• Collaborate closely with Product Managers and other stakeholders to define product features and translate business requirements into robust technical designs
• Lead the design and implementation of complex, mission-critical components of AMP’s code transformation toolset
• Champion and enforce engineering best practices through design reviews, code reviews, and by setting a high standard for quality and operational excellence
• Act as a hands-on leader, guiding the team through complex technical challenges and contributing to the codebase where necessary

Success Measures

Within the first three months, you will have:

• Fully ramped up on our architecture, business domain, and team processes
• Establish yourself as the technical leader within the team, actively driving technical discussions, design reviews, and planning for the product roadmap
• Begin mentoring team members and building strong collaborative relationships with your product counterparts

Within six months, you will have:

• Successfully led the team to deliver a major feature or product release
• Made significant contributions to the architectural roadmap and started influencing the technical direction of adjacent teams
• Established a clear rhythm of execution and a high-performing culture within your team

Within 12 months, you will have:

• Become recognized as the go-to technical expert for the code transformation domain at MongoDB
• Delivered large-scale features across the entire tech stack that have a measurable impact on our customers and business
• Played a crucial role in recruiting, hiring, and growing the engineering team

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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, 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.

MongoDB is an equal opportunities employer.

REQ ID: 1273362479

MongoDB is looking for a Director, CEO Communications to support the CEO across key communications moments for the company. This is a highly strategic, hands-on individual contributor role responsible for shaping and executing a clear, consistent narrative across customers, investors, and employees.

The person in this role will help connect the dots across quarterly earnings, company All Hands, flagship customer events such as .local, and other key leadership moments. They will work closely with the CEO, CMO, the CEO’s Chief of Staff, Investor Relations, and cross-functional partners to ensure our messaging is aligned, credible, and grounded in the business.

This is not a traditional communications manager role. We are looking for someone who can move quickly from strategy to draft to execution, operate with sound judgment in high-visibility moments, and serve as a trusted partner to the CEO. The right candidate is a strong writer, practical operator, and visual storyteller who is comfortable working across functions and audiences with speed, precision, and low ego. This person must be able to distill complex product roadmaps and financial data into a conversational narrative without losing technical accuracy.

The ideal candidate brings experience from high-growth, venture-backed, or founder-led environments and understands how to pair strong executive communications with external narrative-building.

Key Responsibilities

• Partner closely with the CEO to shape and execute communications across internal, customer, and investor audiences
• Help develop and maintain a clear, consistent narrative across key company moments, including earnings, All Hands, .local, and other executive engagements
• Draft speeches, scripts, talking points, presentations, internal communications, and other executive content in a voice that is authentic to the CEO
• Partner with creative teams and roll up your sleeves to translate complex ideas into compelling visual narratives, including keynote decks, executive presentations, and digital content
• Work across the CMO, Chief of Staff, Investor Relations, Corporate Communications, Events, Brand, and Product Marketing teams to align messaging and execution
• Translate company strategy, product momentum, and market context into clear, compelling, and audience-appropriate communications
• Partner with Corporate Communications, Investor Relations, and external agencies to help shape and amplify MongoDB’s executive and corporate narrative across priority external audiences and moments
• Support the CEO in real time before and during major moments, including preparation, iteration, and follow-through
• Adapt messages for different audiences, including employees, customers, analysts, and investors, while maintaining consistency in the core story
• Bring speed, discipline, and strong judgment to a fast-moving environment with multiple stakeholders and competing priorities
• Travel regularly to support the CEO at key internal, customer, and investor moments

Candidate Profile

• 10+ years of experience in executive communications, corporate communications, investor relations, or a related field in a high-growth tech environment
• Experience supporting a CEO or senior executive in a fast-paced, high-growth environment; public company experience is a plus
• Strong preference for experience in high-growth, venture-backed, or founder-led environments where executive storytelling and market narrative materially shape company perception
• Exceptional writing and editing skills, with the proven ability to capture and adapt an executive’s voice across formats
• Strong visual instincts and the ability to storyboard complex concepts and shape presentations that reinforce the message
• Proven ability to work effectively with senior marketing leaders, Chiefs of Staff, and Investor Relations teams
• Strong technical fluency and the ability to communicate clearly about data, AI, infrastructure, and modern application development
• Comfortable operating as a hands-on individual contributor who can move from a rough outline to a polished, CEO-ready draft or deck in high-pressure windows
• Low ego, high ownership, and a willingness to iterate quickly based on feedback
• Based in New York City or Palo Alto, with a willingness to travel regularly in support of the CEO

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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—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.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 4263301029

About the Role

We are seeking a Staff Enterprise Architect, Data to lead the strategy, design, and modernization of our enterprise data landscape. This role operates at the intersection of data architecture, engineering, and AI enablement, defining solutions to integrate our Data Lake and Data Warehouse across multi-cloud platforms.

Over the next 12-18 months, you will enable self-service data access and natural language query capabilities for business users. You will architect Master Data Management and data lineage frameworks ensuring AI models operate on high-quality, governed data. You will also evaluate and implement AI-powered tools to automate data quality monitoring and enhance data security.

We're looking to speak with candidates based in the San Francisco Bay Area for our hybrid working model.

Key Responsibilities

• Data Strategy & Roadmap
• Design semantic layer architecture standardizing business metrics enterprise-wide. Define governance guardrails ensuring natural language queries access validated master data sources
• Develop Master Data strategy for Customer and Product domains (phases 1-2), Finance and People to follow. Define golden record requirements, stewardship models, and system-of-record hierarchy. Partner with business owners on master data governance
• Define cross-cloud data integration strategy and reference architecture. Specify patterns (federation, replication, abstraction layer) balancing performance, cost, and data freshness. Document trade-offs and recommend implementations for batch and near-real-time use cases
• Develop 12-24 month data architecture roadmaps for Finance, Sales, Product, and People. Identify capability gaps and recommend technology investments with business value and effort estimates

• Systems Design & Solution Leadership
• Evaluate AI-powered data observability platforms for quality monitoring, pipeline failure prediction, and data classification. Define requirements, lead vendor POCs, and establish integration patterns
• Define data ingestion architecture reducing availability from weeks to 3-5 days (batch) and under 15 minutes (real-time). Specify ELT patterns using CDC where feasible. Document source system constraints and partner with engineering on phased implementation
• Establish build vs. buy frameworks for Data Platform, ETL, Data Quality, and Master Data tooling. Define POC criteria and scoring models. Oversee POC execution and present recommendations with TCO analysis to the architecture review board
• Design data solutions for priority initiatives (customer 360, financial reporting, AI pipelines). Ensure designs address quality SLAs, monitoring, security controls, and operational documentation. Validate through architecture review before implementation
• Apply product thinking to data platforms, treating internal consumers as customers. Partner with Product Management on feasibility, MVP scoping, and scaling plans. Establish regular touchpoints with Data Engineering, Enterprise Architecture, and business leaders
• Lead solution scoping workshops, provide effort estimates, and identify dependencies. Serve as escalation for complex design questions on cross-system flows, high-volume schema design, and vendor integrations

• Technical Execution & Delivery
• Participate in design reviews and checkpoints to validate alignment with architectural standards. Provide course-correction when needed, balancing consistency with pragmatic tradeoffs. Conduct quarterly audits to assess adherence and identify technical debt
• Serve as early adopter of MongoDB Atlas and Voyage AI (including vector search for RAG). Evaluate MongoDB objectively in build/buy decisions, documenting capability gaps. Share enterprise feedback to influence product roadmap

• Governance, Standards & Risk Management
• Define data lineage strategy and technical requirements. Establish coverage targets: 100% for financial/AI data within 12 months, 80% for operational dashboards within 18 months. Map lineage to regulatory requirements (SOX, GDPR)
• Design automated data quality frameworks with validation rules, anomaly detection, and quarantine workflows. Define quality metrics and SLAs by domain Specify check integration points and alerting processes. Partner with Data Operations on implementation
• Collaborate with InfoSec on data access governance and security monitoring tools. Define anomalous access patterns, data classification schema, and security-lineage integration requirements. Document policies and controls in architecture artifacts
• Establish data architecture principles and design patterns. Chair bi-weekly architecture review board meetings. Maintain ADRs documenting key decisions. Provide governance oversight for AI/ML initiatives ensuring training data meets quality and lineage standards
• Conduct impact assessments for major initiatives analyzing data flows, dependencies, performance, and cost. Present design alternatives with risk/benefit analysis highlighting security, privacy, and technical debt. Establish mitigation plans before approval
• Create and maintain architecture documentation: data flow diagrams, master data models, integration patterns, and technology stack references. Update quarterly or as needed. Ensure accessibility for engineering teams

• Team Leadership & Evangelism
• Build architecture community of practice: host monthly deep-dives, share best practices, facilitate cross-team collaboration, and maintain a knowledge base
• Develop data literacy enablement: quarterly workshops, office hours, and documentation. Translate technical concepts into business impact. Target: 80% awareness of data governance basics within 12 months
• Mentor 5-10 data engineers and architects through quarterly career discussions, design reviews, and problem-solving. Focus on systems thinking, stakeholder communication, and balancing idealism with pragmatism

Qualifications

• 12+ years in IT with 7+ years in Data Architecture, Data Engineering, or Enterprise Architecture roles
• 10+ years across three or more: data architecture, data engineering, database management, analytics, or cloud infrastructure
• Proven ability to architect solutions that bridge Data Lakes and Warehouses in separate clouds (e.g., AWS, Azure, Google Cloud)
• Hands-on experience with Master Data and data lineage tools. Must have designed master data models for at least two domains: Customer, Product, Finance, or People
• Experience evaluating or implementing AI/ML tools for data quality monitoring and automated data classification
• Proven success reducing data latency using CDC, streaming, or real-time integration patterns.
• Proficient in SQL and Python. Experience with modern data platforms (Snowflake, Databricks, BigQuery, or similar). RAG architectures and vector databases are a plus
• Led architecture for large-scale implementations: CRM, Enterprise Data Platforms, Data Lakes, or ERP systems
• Experience managing vendor evaluations, contract negotiations, and ongoing partner relationships
• Experience and understanding of MongoDB products and capabilities is a plus
• Bachelor's degree in computer science, computer engineering, electrical engineering, systems analysis, or a related field; MS or advanced degree is preferred

Core competencies

• Leadership: Leads cross-functional teams through influence, navigates conflict, and drives results without direct authority
• Communication: Translates complex technical concepts for executive and business audiences. Strong written, visual, and presentation skills
• Financial & Analytical: Builds business cases with TCO analysis and ROI projections. Defines measurable success metrics
• Change Management: Drives technology adoption while addressing stakeholder concerns and resistance
• Technical Pragmatism: Cuts through vendor hype. Makes build vs. buy decisions grounded in business value and risk
• Influence Without Authority: Shapes technical direction through credibility and collaboration, not mandate
• Methodologies: Working knowledge of Agile, ITIL, and design thinking practices

Success Measures

• Data Foundation Delivery (12-18 months)
• Establish golden records for Customer and Product master data domains
• Achieve 95%+ lineage visibility for financial reporting and AI training datasets
• Deploy data governance framework adopted by 3+ business units
• Speed and Access Improvements (12 months)
• Reduce data availability latency from weeks to 5 days or less for 80% of use cases
• Launch semantic layer enabling natural language query for priority business datasets
• Improve data quality scores by 25% for master data domains
• Platform Modernization (18 months)
• Complete build vs. buy decisions for Data Platform, ETL, Data Quality, and Master Data tools
• Implement cross-cloud data integration architecture connecting Data Lake and Warehouse
• Deploy 2+ AI-powered data quality or security monitoring use cases
• Adoption and Value Realization
• Achieve 80%+ stakeholder satisfaction with architecture roadmap clarity
• Enable self-service analytics reducing data teams support tickets by 30%
• Document architecture decisions and patterns with 90%+ team accessibility rating
• Technical Excellence
• Zero critical security or compliance violations in data solutions under this role’s oversight
• Maintain architecture review cadence (bi-weekly) with <5 day SLA on design feedback

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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, 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.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

REQ ID: 1273368200

The Application Modernization Platform (AMP) team is tackling one of the industry's most critical challenges: leveraging Generative AI to transform rigid, legacy applications into modern, microservices-based architectures powered by MongoDB.

We are building a comprehensive, SaaS-like platform, encompassing both the "brain" (multi-agent reasoning and orchestration) and the "hands" (the deployment platform and modernization toolset). This solution requires a robust platform foundation and infrastructure designed for a "build once, run anywhere" model, ensuring seamless operation regardless of a client's security or network constraints. A key challenge is balancing the need to tune our tools for each customer's unique tech stack and restrictive environments with making them easily extensible and scalable for common application modernization challenges.

We seek an engineering leader for this high-visibility initiative. This role requires defining the high-level strategy and technical direction across all AMP engineering pillars, leading the execution of solving uniquely complex application modernization puzzles, and delivering an enterprise-grade product. The leader will minimize deployment friction, meet customer compliance requirements, and help shape the future of how global enterprises leverage GenAI.

The ideal candidate is a hands-on technical leader who excels at leveraging GenAI capabilities, architecting complex distributed systems, and designing the orchestration agents necessary to reliably and fluidly run the entire software development lifecycle.

This role will be based in North America's West Coast (PST), and offers a hybrid working model.

The ideal candidate for this role will have

• 10+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure
• Deep experience in building data warehouses and core components for data processing systems
• Have experience in using GenAI in building complex large-scale systems, and know what GenAI is best suited to do
• Understanding of security-first design, specifically regarding the execution of untrusted code, fine-grain access control, and rigorous input validation
• 2+ years of experience leading, coaching, and mentoring a team of engineers to achieve high-impact results
• Excellent verbal and written technical communication skills and a strong desire to collaborate cross-functions
• Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity
• Curiosity, a positive attitude, and a drive to continue learning, in particular building AI skillset

Key Responsibilities

• Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement
• Provide thought leadership, and execute AMP roadmaps to influence and shape the future of how global enterprises leverage GenAI
• Lead the design and implementation of a sophisticated orchestration layer that manages authentication, telemetry, and the workflow of application modernization stages
• Lead the team design and leverage GenAI to build reliable and scalable building blocks that are extendable and easy to assemble to an autonomous workflow
• Collaborate with MongoDB product teams to ensure the modernized applications integrate seamlessly with customers’ database ecosystem
• Act as a hands-on leader, guiding the team through technical challenges related to where and how to leverage GenAI to build the critical building blocks of application modernization toolset

Success Measures

Within the first three months, you will have:

• Fully ramped up on our architecture, business domain, and the specific constraints of deploying software to large enterprise client environments
• Established yourself as the technical leader within the team, actively driving engineering strategy and key technical decisions
• Begun collaborating with team leaders (TLs, managers) of AMP org and product counterparts on designing/improving the orchestration framework and the workflow components it manages
• Developed a comprehensive grasp of all AMP pillars and their roadmap

Within six months, you will have:

• Influenced AMP product and engineering leads on key technical decisions, and set clear direction for the team
• Successfully led the team to making substantial progress on the “big rock” deliverables and critical milestones of AMP product, enabling the team to smoothly land the planned roadmap
• Owned and delivered some key pieces of AMP orchestration framework and the workflow components it manages
• Served as a role model and strategic leader for the AMP org
• Contributed to establish engineering excellence standards for the team, and began mentoring and providing technical guidance to team members

Within 12 months, you will have:

• Become recognized as the strategic engineering leader both within and outside of the AMP organization
• Helped senior leadership (e.g., Directors/VP) on defining the technical strategy and roadmap for the future
• Enabled the team to deliver a stable, production-ready platform that supports autonomous application modernization workflow for our Field Engineering teams
• Drove the adoption of engineering excellence, making it a core tenet of the team's culture and operations
• Contributed to the development of tech leads within the team, fostering growth opportunities. Played a key role in shaping the AMP organization into a self-driving high-performing engineering team

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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, 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.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req. ID: 1273362664

The Application Modernization Platform (AMP) team is tackling one of the industry's most critical challenges: leveraging Generative AI to transform rigid, legacy applications into modern, microservices-based architectures powered by MongoDB.

We are building a comprehensive, SaaS-like platform, encompassing both the "brain" (multi-agent reasoning and orchestration) and the "hands" (the deployment platform and modernization toolset). This solution requires a robust platform foundation and infrastructure designed for a "build once, run anywhere" model, ensuring seamless operation regardless of a client's security or network constraints. A key challenge is balancing the need to tune our tools for each customer's unique tech stack and restrictive environments with making them easily extensible and scalable for common application modernization challenges.

We seek an engineering leader for this high-visibility initiative. This role requires defining the high-level strategy and technical direction across all AMP engineering pillars, leading the execution of solving uniquely complex application modernization puzzles, and delivering an enterprise-grade product. The leader will minimize deployment friction, meet customer compliance requirements, and help shape the future of how global enterprises leverage GenAI.

The ideal candidate is a hands-on technical leader who excels at leveraging GenAI capabilities, architecting complex distributed systems, and designing the orchestration agents necessary to reliably and fluidly run the entire software development lifecycle.

This role will be based in North America's West Coast (PST), and offers a hybrid working model.

The ideal candidate for this role will have

• 10+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure
• Deep experience in building data warehouses and core components for data processing systems
• Have experience in using GenAI in building complex large-scale systems, and know what GenAI is best suited to do
• Understanding of security-first design, specifically regarding the execution of untrusted code, fine-grain access control, and rigorous input validation
• 2+ years of experience leading, coaching, and mentoring a team of engineers to achieve high-impact results
• Excellent verbal and written technical communication skills and a strong desire to collaborate cross-functions
• Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity
• Curiosity, a positive attitude, and a drive to continue learning, in particular building AI skillset

Key Responsibilities

• Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement
• Provide thought leadership, and execute AMP roadmaps to influence and shape the future of how global enterprises leverage GenAI
• Lead the design and implementation of a sophisticated orchestration layer that manages authentication, telemetry, and the workflow of application modernization stages
• Lead the team design and leverage GenAI to build reliable and scalable building blocks that are extendable and easy to assemble to an autonomous workflow
• Collaborate with MongoDB product teams to ensure the modernized applications integrate seamlessly with customers’ database ecosystem
• Act as a hands-on leader, guiding the team through technical challenges related to where and how to leverage GenAI to build the critical building blocks of application modernization toolset

Success Measures

Within the first three months, you will have:

• Fully ramped up on our architecture, business domain, and the specific constraints of deploying software to large enterprise client environments
• Established yourself as the technical leader within the team, actively driving engineering strategy and key technical decisions
• Begun collaborating with team leaders (TLs, managers) of AMP org and product counterparts on designing/improving the orchestration framework and the workflow components it manages
• Developed a comprehensive grasp of all AMP pillars and their roadmap

Within six months, you will have:

• Influenced AMP product and engineering leads on key technical decisions, and set clear direction for the team
• Successfully led the team to making substantial progress on the “big rock” deliverables and critical milestones of AMP product, enabling the team to smoothly land the planned roadmap
• Owned and delivered some key pieces of AMP orchestration framework and the workflow components it manages
• Served as a role model and strategic leader for the AMP org
• Contributed to establish engineering excellence standards for the team, and began mentoring and providing technical guidance to team members

Within 12 months, you will have:

• Become recognized as the strategic engineering leader both within and outside of the AMP organization
• Helped senior leadership (e.g., Directors/VP) on defining the technical strategy and roadmap for the future
• Enabled the team to deliver a stable, production-ready platform that supports autonomous application modernization workflow for our Field Engineering teams
• Drove the adoption of engineering excellence, making it a core tenet of the team's culture and operations
• Contributed to the development of tech leads within the team, fostering growth opportunities. Played a key role in shaping the AMP organization into a self-driving high-performing engineering team

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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, 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.

MongoDB is an equal opportunities employer.

Req. ID: 1273362664

The Application Modernization Platform (AMP) team is tackling one of the industry's most critical challenges: leveraging Generative AI to transform rigid, legacy applications into modern, microservices-based architectures powered by MongoDB. A core difficulty in legacy code transformation is guaranteeing the equivalence of the new application's business logic, ensuring it operates smoothly and efficiently with the new MongoDB data ecosystems in a reliable and scalable manner. The success of this mission heavily relies on the essential tools developed by the CodeGen team.

We are looking for an experienced Senior Lead Software Engineer with a strong background in database ecosystem, reshaping complex large-scale services and team leadership. You will lead a talented team building a complex product suite using GenAI capabilities. The ideal candidate is a hands-on technical leader who can drive architectural decisions, mentor engineers, and collaborate closely with product management to deliver a product that solves our customers' most challenging application transformation problems.

This role will be based in North America west coast, and offers a hybrid working model. 

The ideal candidate for this role will have

• 10+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure
• 2+ years of experience leading, coaching, and mentoring a team of software engineers to achieve high-impact results
• Extensive product experience in building enterprise-grade analytics systems for data streaming or data tooling
• Extensive experience with relational and document data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc) and at least one document database (e.g. MongoDB)
• Having experience in using GenAI in building complex large-scale systems, and knowing what GenAI is best suited to do, is a plus
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills
• Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity

Position Expectations

• Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement
• Drive the architectural vision and long-term technical roadmap for the Code Gen product suite, ensuring it is scalable, reliable, and performant
• Collaborate closely with Product Managers and other stakeholders to define product features and translate business requirements into robust technical designs
• Lead the design and implementation of complex, mission-critical components of AMP’s code transformation toolset
• Champion and enforce engineering best practices through design reviews, code reviews, and by setting a high standard for quality and operational excellence
• Act as a hands-on leader, guiding the team through complex technical challenges and contributing to the codebase where necessary

Success Measures

Within the first three months, you will have:

• Fully ramped up on our architecture, business domain, and team processes
• Establish yourself as the technical leader within the team, actively driving technical discussions, design reviews, and planning for the product roadmap
• Begin mentoring team members and building strong collaborative relationships with your product counterparts

Within six months, you will have:

• Successfully led the team to deliver a major feature or product release
• Made significant contributions to the architectural roadmap and started influencing the technical direction of adjacent teams
• Established a clear rhythm of execution and a high-performing culture within your team

Within 12 months, you will have:

• Become recognized as the go-to technical expert for the code transformation domain at MongoDB
• Delivered large-scale features across the entire tech stack that have a measurable impact on our customers and business
• Played a crucial role in recruiting, hiring, and growing the engineering team

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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, 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.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

REQ ID: 1273362479

The Head of Post Sales Technology is responsible for transforming Customer Support into an AI-first, automation-led, insight-driven organization.

This leader will design and execute a technology strategy where AI is not an add-on, but the foundation of how support operates — from customer self-service and intelligent routing to real-time agent augmentation and predictive service operations.

The role sits in the IT organization, and will define how emerging AI capabilities fundamentally reshape customer experience, agent productivity, and cost structure.

We are looking to speak to candidates who are based in Palo Alto / San Francisco or New York City for our hybrid working model.

Key Responsibilities

Partner with the Technical Support organization, Customer Success and Professional Services organization to understand the business objectives and chart out a technology strategy and roadmap to address their needs. 

1.  AI-First Strategy & Transformation

• Define and own a multi-year AI roadmap for post sales.  The capabilities should ideally include
• Suggested responses
• Knowledge article generation
• Case summarization
• Sentiment detection
• Next-best-action recommendations
• Reimagine support workflows assuming AI agents and copilots are default participants
• Lead transition from reactive case management to predictive, proactive service
• Establish governance for responsible and secure AI deployment

2. Autonomous & Conversational AI

• Architect scalable conversational AI platforms for chat, voice, and digital channels
• Lead implementation of AI solutions using modern AI native platforms
• Develop frameworks to measure AI containment rates, hallucination risk, escalation patterns, and customer trust
• Continuously tune models based on real customer interaction data

4. Intelligent Case Lifecycle & Automation

• Implement predictive case routing based on complexity and skill
• Automate repetitive workflows and approvals
• Use machine learning to detect systemic product issues and trigger escalation automatically
• Drive closed-loop feedback into Product and Engineering

5. Data, Insights & Predictive Analytics

• Establish unified support data architecture
• Build real-time dashboards with actionable insights
• Develop predictive models for:
• Volume forecasting
• Churn risk
• SLA breach risk
• Escalation likelihood
• Transform support data into a strategic asset

6. Platform & Architecture Ownership

• Own the support technology stack end-to-end
• Ensure integration with Sales, Customer Success, Billing, and Product systems
• Standardize APIs and data models to support AI training and analytics
• Ensure high availability, security, and compliance

7. Change Leadership

• Lead cultural transition to AI-augmented support
• Upskill agents and managers in AI collaboration
• Build trust through transparent AI governance and explainability
• Partner with HR and Enablement to redefine roles and career paths in an AI-native organization

Qualifications

• Track Record: 10+ years experience with proven success in leading AI adoption and implementation at scale in companies of comparable size and complexity
• Product Management experience - Experience working in IT as a product manager including but not limited to user interviews, discovery, scoping, product vision and roadmap definition, product execution and delivery against the roadmap and measurement of product adoption and definition and tracking of other success metrics 
• Technical Depth: Strong knowledge of post sales and customer success platforms, enterprise data platforms, RAG solutions, intelligent workflow automation, and enterprise integration
• Strategic Leadership: Demonstrated ability to set vision, build consensus, and drive measurable business value through AI
• Communication: Excellent stakeholder management, communication, and change leadership skills
• Education: Bachelor’s degree required (comp science preferred); Master’s or MBA preferred

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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, 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 please inform your recruiter. 

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req. ID: 1273386617

Building on the rapid success and adoption of MongoDB, we are delivering applications and services that make it much easier to manage and scale database deployments. These next-generation systems are a growing list and currently include products such as Atlas, Cloud Manager and Compass to name a few. 

Technical Services Engineers are a key part of our elite Technical Services organization that supports MongoDB customers worldwide, with teams in locations including New York, Austin, Palo Alto, Sydney, Delhi, Dublin and Tel Aviv. 

Our engineers can tell you how  MongoDB’s Technical Services Team is Solving Complex Technical Challenges or what life in Cloud Support is like. If you’re passionate about the opportunity to get comfortable working with the cloud every single day and be part of a team that works at the frontier of SaaS services and distributed database systems, this is the role for you.

Click here to learn more about our Technical Services team.

We're looking to speak with candidates local to Palo Alto for our hybrid-working model, with weekend support focus.

Special Requirements: Must be a US Citizen

Why MongoDB is a fantastic place to work and build your career

• Be a part of the company that’s reinventing the database, focused on innovation and speed
• Enjoy a fun, inspiring culture that is engineering focused
• Work with talented people around the globe
• Learn, contribute, and make an impact on the product and community

Job Description

As a Senior Technical Services Engineer, Cloud you’ll be advising customers on strategies and documented practices for making best use of our cloud products. This will require you to translate technical concepts and patterns into generalist’s terms for our customers, helping them understand, install, and use those applications effectively. You’ll also troubleshoot application problems and be an advocate for our users’ needs, collaborating with the MongoDB product management and development teams on their behalf. 

You will utilize your exceptional analytical skills and customer service to ensure that MongoDB users are successful with our suite of MongoDB application-layer products. We’re looking for individuals who want to dig into the details of how “big data” and “web-scale” systems are successfully assembled and operated every day by organizations of every size and flavor.

What you will do at MongoDB

As a Senior Technical Services Engineer, Cloud, you will:

• Support and guide our strategic customers, focus on day-to-day resolution and proactively drive progress
• Work closely with your team and our customers to identify, characterize, solve & recover from problems raised to the Technical Support team
• Resolve technical issues through diligent research, reproduction, and troubleshooting, log and server analysis using industry standard as well as bespoke in house developed tools
• Build and create standard methodologies for technical troubleshooting across different technologies, and craft Knowledge Articles that contribute to our self-serve support portal
• Review and test new features before they are publicly available, including creating internal and customer facing assets, such as knowledge base articles or FAQs
• Proactively identify improvement to business processes and policies to solve problems and get things done
• Be an advocate for customers’ needs.
• Gather feedback from customers and engage the engineering, product, sales and marketing teams to improve our product through regular touchpoints and data driven reporting from the field
• Act as focal point and technical subject-matter-expert for assigned customers and their application deployments in Atlas
• Coach and mentor junior engineers on the team in new or emerging product areas, as well as cross-training peers in specialty topics

What you will learn

The rapidly growing MongoDB product suite, including:

• Atlas (fully managed cloud database service)
• Core database server
• Search related technologies
• Other Tools and connectors - eg: Compass, Connector for BI 
• Market-relevant, complementary technologies e.g. Apache Kafka, Kubernetes
• Modern and popular architecture design patterns, methodologies and concerns e.g. microservices, DevOps, cloud, security

What you need

You should have 5+ years of relevant experience. We consider all candidates with an eye for those who are self taught, curious, and multi-faceted. Our ideal associate candidate should also have:

• Prior working experience in one of the three Cloud Providers (AWS, GCP or Azure)
• Advanced experience with Operating System and Networking Core concepts
• Solid fundamentals in Linux, Networking, and Diagnostics
• Familiarity with the Linux command line and monitoring tools
• Fundamental understanding one or more of the following database: MongoDB, ElasticSearch, MySQL, Postgres, DynamoDB, MS SQL Server
• Working knowledge in a few of the following topics: IAM, Federated Authentication, SSO, SAML, Encryption, Security, APIs, Disaster Recovery and Backup.
• Experience with basic platforms/software such as JIRA, Confluence and Github
• Strong diagnostic/troubleshooting aptitude, with significant experience troubleshooting end-to-end technical issues in production environments
• Excellent written and verbal communication skills in English
• Patience, empathy and a genuine desire to help people
• Ability to think on your feet, remain calm under pressure, and solve problems in real-time
• A B.Tech / B.S. or equivalent work experience; if you don’t have a Computer Science degree, but think you can do the job, apply anyway!

This position is a weekend-based role, requiring availability and coverage on Saturdays and Sundays. 

You may also have

• Experience with scalable and highly available distributed systems
• Advanced experience with Operating System and Networking Core concepts
• Experience with Terraform, Kubernetes, Kafka etc
• Certifications - MongoDB, RHCE, Cloud Provider Certifications
• Previous SaaS Support Experience

Success Measures

• In 3 months, have gained a deep understanding of MongoDB and its ecosystem. You will complete New Hire Training
• In 6 months, be confident working with our customers via cases and calls as needed. You will also complete the MongoDB Associate Atlas Administrator Exam
• In 12 months, be directly and independently engaged in customer management along with necessary product and engineering collaboration, thus  ensuring customers are successful and happy with MongoDB and see our data platform as the de facto standard for new projects

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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—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.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 3263285502

Join the MongoDB Server Query Optimization team, and help us build a world-class distributed open-source query optimizer. Our team plays a crucial role in the experience and performance of data processing. We are responsible for the MongoDB Query Language and the lifecycle of each query, through parsing, optimization and plan selection.

We have a presence across the US and Europe including New York, Dublin, Seattle, Palo Alto, and Chicago. We support office-based and remote work and align projects with convenient work hours for each time zone.

We have tons of interesting problems to solve with a direct impact on users for transactional, time-series, and analytical workloads. The team is endeavoring to systematically rewrite every major component of our optimization and execution systems. We need your help to design and build the heart of a distributed, flexible schema, document database.

Candidate Profile

• 10+ years of experience in data management systems
• Experience with building production-level code with a large user base, robust design structure and rigorous code quality
• Degree in Computer Science or similar field, or equivalent practical experience, with strong competencies in data structures, algorithms, and software design/architecture
• Experience with large code bases written in C++ or another systems programming language. You'll need to trace down defects, estimate work complexity, and design evolution and integration strategies as we rewrite different components of the system
• Passion for the theory and practice of database query engines, as well as hands-on or academic experience in the database domain

Position Expectations

• Innovate in the area of flexible schema databases. Help us build a world-class query optimization system
• Research state-of-the art query systems to inform our design
• Leverage deep knowledge of the strength and weakness of the product and of industry trends to provide technical vision and direction 
• Set initiative level strategy, architect plans, and lead the team towards successful execution
• Advise management on decisions related to roadmap, processes, architecture and design
• Identify, design, implement, test, and support new features related to query performance and robustness, query language enhancements, diagnostics, 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
• Influence and grow team members through active mentoring, coaching and leading by example

Success Measures

• 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; You'll have learned about MongoDB's project lifecycle, and our long-term goals for the system
• In six months, you’ll have taken on code review responsibilities and are playing an active role in drafting and reviewing the design for new features; You have expanded the team's horizons by presenting a favorite paper or system architecture related to query systems
• In twelve months, on the basis of your extensive past experience in the query space, you have contributed to the long-term technical roadmap of the MongoDB Query team

​​This role can be based out of our US or Canadian offices or remotely in the North America region.

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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—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.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID - 1273358734

We’re seeking a Manager, Technology Recruiting to lead a high-performing team responsible for driving business-critical hiring across MongoDB's technical functions, including collaboration with multiple C-suite and senior executives. In this role, you will elevate the technology recruiting organization from an executional capacity into a strategic business partner by implementing best-in-class hiring practices and fostering an enterprise mindset rooted in alignment, innovation, and operational excellence, during our ongoing scaling phase.

The ideal candidate will have a strong ability to zoom in, to fine-tune the details of the recruiting process to ensure top-tier execution, and zoom out to provide insights and strategic guidance to senior business leaders. You will use data, analytics, and forecasting to inform hiring strategies, anticipate challenges, mitigate risks, and ensure that MongoDB is positioned to meet ambitious hiring goals as we grow. Furthermore, a leadership mindset is essential: you will guide and inspire a talented team of individual contributors, cultivating personal and team development, business alignment, and results.

This is a key leadership role that demands curiosity, ingenuity, operational excellence, and the ability to influence key stakeholders across the company. If you are driven to make an impact, design scalable, durable, and adaptable recruiting strategies, and empower MongoDB to attract top-tier talent as we seize a massive market opportunity, this is the role for you.

In this role, you will

• Strategically Guide Tech Recruiting: Partner closely with key stakeholders in senior leadership and C-suite roles to synchronize talent acquisition strategies with broader business priorities. Build and evolve a framework that positions tech recruiting as a proactive business partner
• Drive Operational Excellence: Refine, optimize and enable recruiting systems and workflows to ensure highly efficient execution. Empower your team to deliver measurable outcomes through best practices, streamlined processes, and innovative tools that drive scalability
• Coach, Develop, and Lead Your Team: Provide intentional leadership to your group of high-performing recruiters. Serve as a mentor and guide, instilling confidence, focus, and consistency while helping your team grow their skills and impact
• Collaborate Across the Business: Work with leaders across MongoDB to anticipate hiring needs, identify obstacles, and ensure alignment among priorities, elevating recruiting’s ability to serve as a true enterprise-level function
• Leverage Data to Inform Strategy: Lead with analytics by interpreting deep data insights to identify trends, inform decision-making, and proactively manage risk. Advocate for accurate data integrity as you provide hiring updates, forecasts, and recommendations to executive stakeholders
• Implement Innovative Solutions: Embrace cutting-edge recruiting tools, workflows, and AI-enabled strategies to optimize sourcing, talent pipelining, and engagement, keeping MongoDB competitive in a rapidly evolving talent landscape
• Align with Long-Term Vision: Bring a builder’s mentality to scale MongoDB's tech recruiting function while maintaining agility during periods of high growth and organizational change

Our ideal candidate will have

• Leadership Experience: 10+ years of progressive recruiting experience, with 4+ years managing teams in fast-paced, high-growth technology environments. Experience recruiting technical talent at scale is required
• Strategic Influence: A demonstrated ability to engage and influence senior leaders, framing recruiting strategies in alignment with business goals and decision-making
• Executive Presence: A confident communication style and ability to deliver thoughtful, concise perspectives on hiring progress, risks, and recommendations to executive teams
• Operational Excellence: Success in developing and implementing scalable processes that prioritize both efficiency and a strong candidate experience while empowering recruiters
• Data-Driven Mindset: Exceptional fluency in interpreting analytics to inform hiring strategies, forecast challenges, and deliver insights to stakeholders in actionable formats
• Global Acumen: Experience working with international teams and navigating recruitment in diverse hiring markets
• Adaptable Leadership: Ability to lead through ambiguity and organizational changes while maintaining momentum and steady performance across your team
• Builder Mentality: A hands-on approach to architecting and optimizing recruiting systems and workflows in dynamic and rapidly evolving environments

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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, 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.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

REQ ID: 1273423296

About the team

MongoDB Technical Services Engineers use their outstanding problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Service Engineers are specialists in the entire MongoDB ecosystem - database server, drivers, our management suite, as well as services such as Atlas, Cloud Manager, Compass to name a few. Our engineers combine their MongoDB expertise with passion, initiative, teamwork, and a great sense of humor to achieve exceptional results for our customers. We’re looking for individuals who want to dig into the details of how “big data” and “web-scale” systems are successfully assembled and operated every day by organizations of every size and flavor.

Shift Information:

• We are looking to speak to candidates who are interested in working out of our Palo Alto, CA office under our in-office working model Monday to Friday for the first 3-6 months depending on ramping speed. 
• Once considered ramped, they will transition to a permanent Wednesday - Sunday 8am-5pm work week (with 3 in-office days) to provide weekend coverage alongside other peers. Saturdays and Sundays are considered fully online workdays and not an on-call shift.
• Due to the 24/7 nature of our support organization, certain events throughout the year will require volunteering for coverage outside one’s normal work days or work hours (i.e. regional offsites, regional holidays, etc). These are typically announced weeks in advance with a sign-up system that considers equitability.

Why MongoDB is a fantastic place to work and build your career

• Be a part of the company that’s reinventing the database, passionate about innovation and speed
• Enjoy a fun, inspiring culture that is engineering focused
• Work with exceptionally talented people around the globe
• Learn, contribute, and make an impact on the product and community

Cool things you’ll do

• In this cross‑functional role as a Technical Services Engineer, you will work with the largest and most demanding customers to drive successful implementations of MongoDB Server, MongoDB Search, and managed backups on Kubernetes platforms
• Enhance your technical troubleshooting expertise and experience as a TSE (Technical Services Engineer) by working on customer use cases, evaluating solutions, customer business pain points, application architectures, and Cloud infrastructure configurations
• Collaborate with enterprise customers to design, implement, and troubleshoot backup strategies for massive production environments—scaling to petabytes of data—while ensuring high availability, disaster recovery readiness, and compliance with retention requirements
• Opportunity to shape the roadmap of products, tooling, and the core database by providing product feedback

What You Need/What we are looking for

• Patience, empathy, and a genuine desire to help others
• Excellent communication skills, both written and verbal, with internal and external stakeholders
• The ability to think on your feet, remain calm under pressure, and find solutions to challenges in real-time
• Strong diagnostic/troubleshooting aptitude, with significant experience troubleshooting end-to-end technical issues in production environments
• Full understanding of Linux systems and networking concepts, including firewalls, load balancers, performance tuning, storage management
• 1+ years of experience in a Support role working directly with customers.
• 2+ years of experience with administering RDBMSs such as Oracle, Postgres, mySQL etc. MongoDB experience is preferred.
• 3+ years or more of combined experience in the following technical domains (ideally with some experience in the rest)
  • Experience operating in and managing Kubernetes clusters.
  • Experience with DevOps practices and Infrastructure-as-code.
  • Experience with Disaster Recovery situations (Backup management, Snapshot Restores, Return-to-service operations)
• 5+ years of mixed experience with Cloud (AWS, GCP, Azure) and on-prem infrastructure administration in a production environment.

Bonus Points

• Experience with AI topics, development, and supporting technologies such as Vector Search
• Experience managing large-scale databases (RDBMS or NoSQL or both) and monitoring them via products like Prometheus or Grafana
• Experience with specific MongoDB products like Ops Manager, Cloud Manager, Atlas, Kubernetes Operator/Controller
• Experience coding in one or more of Python, Java, Go, Ruby, C, C++
• Experience with personal test labs and reproducing issues locally to drive resolution of issues
• Experience working on weekends or outside of typical business hours

Success Measures

• In 3 months, you’ll have gained a deep understanding of MongoDB and its ecosystem. You will complete New Hire Training
• In 6 months or less, you will be comfortable working frontline with our customers and will have transitioned to weekends; You will also complete the MongoDB Certified DBA Associate exam
• In 12 months or less, you will be a technical specialist within MongoDB and will be helping your peer engineers in advanced diagnostics. Also, you will be encouraged to handle technical escalations independently

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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—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.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

REQ ID: 4263315122

Join the MongoDB Server Query Optimization team, and help us build a world-class distributed open-source query optimizer. Our team plays a crucial role in the experience and performance of data processing. We are responsible for the MongoDB Query Language and the lifecycle of each query, through parsing, optimization and plan selection.

We have a presence across the US and Europe including New York, Dublin, Seattle, Palo Alto, and Chicago. We support office-based and remote work and align projects with convenient work hours for each time zone.

We have tons of interesting problems to solve with a direct impact on users for transactional, time-series, and analytical workloads. The team is endeavoring to systematically rewrite every major component of our optimization and execution systems. We need your help to design and build the heart of a distributed, flexible schema, document database.

Candidate Profile

• 10+ years of experience in data management systems
• Experience with building production-level code with a large user base, robust design structure and rigorous code quality
• Degree in Computer Science or similar field, or equivalent practical experience, with strong competencies in data structures, algorithms, and software design/architecture
• Experience with large code bases written in C++ or another systems programming language. You'll need to trace down defects, estimate work complexity, and design evolution and integration strategies as we rewrite different components of the system
• Passion for the theory and practice of database query engines, as well as hands-on or academic experience in the database domain

Position Expectations

• Innovate in the area of flexible schema databases. Help us build a world-class query optimization system
• Research state-of-the art query systems to inform our design
• Leverage deep knowledge of the strength and weakness of the product and of industry trends to provide technical vision and direction 
• Set initiative level strategy, architect plans, and lead the team towards successful execution
• Advise management on decisions related to roadmap, processes, architecture and design
• Identify, design, implement, test, and support new features related to query performance and robustness, query language enhancements, diagnostics, 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
• Influence and grow team members through active mentoring, coaching and leading by example

Success Measures

• 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; You'll have learned about MongoDB's project lifecycle, and our long-term goals for the system
• In six months, you’ll have taken on code review responsibilities and are playing an active role in drafting and reviewing the design for new features; You have expanded the team's horizons by presenting a favorite paper or system architecture related to query systems
• In twelve months, on the basis of your extensive past experience in the query space, you have contributed to the long-term technical roadmap of the MongoDB Query team

​​This role can be based out of our US or Canadian offices or remotely in the North America region.

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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—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.

MongoDB is an equal opportunities employer.

Req ID - 1273358734