MongoDB

Lead governance of policies, standards, and controls ensuring auditability and compliance alignment with executive reporting. | 10+ years in program management, governance, or compliance in information security with proficiency in SOC2, ISO 27001, NIST CSF, and leadership skills. | The Assurance, Risk and Compliance (ARC) Initiatives team at MongoDB owns the governance and delivery of key cross-functional security risk and compliance initiatives. The team designs and executes programs that support compliance audits, risk assessments, common control frameworks, operating cadences, and executive reporting that strengthen the organization’s assurance, risk management and compliance objectives. The policy and controls governance pillar is responsible for the structure, standards and operating mechanisms that keep MongoDB’s security policies, standards, procedures, and controls governance processes current, aligned, auditable and scalable across the organization. This includes ownership of the policy lifecycle, common controls framework governance, issue management, and the review cadences and cross-functional coordination needed to maintain strong governance maturity and audit readiness. This role sits under the Assurance, Risk and Compliance function within the Global Security Office and reports to the Director of ARC Initiatives. This role will be based remotely in the United States Responsibilities: Scope of Ownership Policy governance program ownership, including policy lifecycle management, documentation standards, review and approval cadences, change tracking, and exception governance Controls governance ownership, including common controls framework lifecycle management, control harmonization, framework mapping, and processes that support audit readiness and scalable control oversight Governance over supporting systems and workflows, including Jira, GRC tooling, documentation repositories, and reporting structures, that enable consistent execution and visibility Issue management and remediation governance, including intake, triage, tracking, and reporting for timely closure of findings Executive-ready reporting and metrics for policy health, controls maturity, policy exceptions and broader program effectiveness Program Leadership Own and evolve the governance model for policies, standards, procedures and controls, ensuring clear accountability, consistent execution and audit-ready outputs Lead the end-to-end policy lifecycle, including creation, review, approval, publication, maintenance, retirement and exception governance Lead the controls governance program, including common controls framework ownership, framework revision management, control harmonization and periodic cross-functional control reviews Own the governance model for ARC issues and remediation tracking, including workflows for intake, tracking, monitoring, closure validation and ongoing reporting Ensure policies and controls remain aligned with compliance requirements, and translate framework changes into actionable program updates People Management Manage and develop team members responsible for policy governance, controls governance, and related operational processes by setting priorities, driving workload clarity, and coaching for strong execution Establish a high bar for quality, accountability, and follow-through while supporting team growth through regular feedback and development Cross-functional Partnership Partner within ARC and across Security, Engineering, Product, and Legal teams to align requirements, resolve blockers, and drive timely decisions Coordinate with policy owners, subject matter experts and operational stakeholders to drive timely reviews, required updates, and exception handling Serve as a key point of contact for compliance audit support related to policy governance and controls governance processes and program documentation Operational excellence and metrics Define, maintain and evolve KPIs, KRIs, dashboards and reporting that measure policy lifecycle health, control maturity, audit readiness, exception trends and program performance Oversee the systems that support the program, including Jira workflows, GRC platform, and related automation or enhancement opportunities Drive continuous improvement across governance workflows to reduce manual effort, strengthen stakeholder experience and improve scalability across ARC programs Requirements: 10+ years of program management, governance, compliance or related experience within Information Security, GRC, or a high-growth technology environment Experience leading policy and procedure programs, governance frameworks or controls governance programs at scale Strong understanding of security and compliance frameworks such as SOC2, ISO 27001, PCI DSS, HIPAA, NIST CSF, with the ability to translate framework requirements into operational policy and control structures Experience managing full-lifecycle cross-functional programs, including planning, risk mitigation, dependency management, change control, and executive reporting Advanced experience with Jira, and GRC or policy management platforms Strong people leadership capability, including managing team priorities, coaching team members, and driving accountability through ambiguity and complexity Excellent communication and stakeholder management skills, with the ability to influence cross-functional partners and hold teams accountable to deadlines and governance expectations Exceptional attention to detail, strong judgement and a proactive approach to building structure, clarity and sustainable governance mechanisms Scope and Complexity: This role manages complex governance programs that require coordination across business and technical teams, balancing policy lifecycle needs, framework evolution, audit readiness, tooling maturity and operational scalability Leadership in this role is demonstrated through ownership, structure-building, sound judgement, and the ability to align different stakeholders around clear governance expectations and outcomes This leader will enhance the maturity of the policy and controls governance programs by creating repeatable mechanisms. You are expected to own the strategy and success of the programs, not just track tasks within them You will work closely with technical and operational subject matter experts, but you are accountable for governance design, execution rigor, reporting clarity, and resolution of bottlenecks that could impact program maturity or audit readiness Success in this role is measured by the strength, consistency, and scalability of the policy and controls governance model, and teams ability to maintain current, auditable, and business-aligned processes 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 data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform 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 data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 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: 2273504894 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $114,000—$224,000 USD

Lead the Critical Accounts program and define strategy for AI-powered Customer Health Platform with cross-functional leadership to ensure actionable customer insights and portfolio health visibility. | 12+ years in Customer Success, Program Management, or GTM Operations with proven leadership and executive communication skills to align teams without direct authority. | The Role MongoDB is building two connected capabilities that determine how we protect and grow our most important customer relationships: a Critical Accounts program that catches at-risk accounts early and drives them to a durable resolution, and a Customer Health Platform, an AI-powered one-stop shop for customer insights, combining health, adoption, engagement, and experience data with proactive risk identification and recommended actions. This role owns both. You will build and lead the Critical Accounts function end to end: the framework, the global operating model, and the executive reporting that gives leadership real-time visibility into the portfolio. You will also set the long-term vision and strategy for the Customer Health Platform: what it scores and alerts on, which teams and use cases it serves next, and how it becomes the one-stop shop for customer insight across the company. You will be accountable for how MongoDB identifies, intervenes on, and learns from customer risk, and for where the Customer Health platform goes next. This is a build role. You are creating the operating rhythm, the standards, and the team structure as much as you are running them. This role can be based out of our US offices or remotely in the United States. What You Will Do Own and Build the Critical Accounts Program Design and iterate on the global Critical Accounts framework: entry/exit criteria, account archetypes, playbooks, health assessment templates, and Get Well Plan standards. Design the central Critical Accounts org structure and hire a lean program management team, establishing this as a durable, well-resourced function within Customer Strategy. This team is the connective tissue that ensures every qualifying account is triaged, resourced, tracked, and ultimately graduated with documented outcomes. Own intake and triage standards so every qualifying nomination is validated, classified, and assigned a process lead and resource plan without delay. Design the path for Critical Accounts to move beyond human nomination alone, working with Customer Health to define the signals and thresholds that proactively detect at-risk accounts and surface them for the cohort, so nominations come from both human judgment and the platform's early-warning detection. Own program coordination: the master tracker of active critical accounts, cross-functional stand-ups with Customer Success, Technical Support, Professional Services, Sales, and Product and Engineering, the 90-day checkpoint process, and resource rebalancing as account needs evolve. Own executive reporting for the program: weekly account status, monthly portfolio readouts with trend analysis, and quarterly summaries covering program KPIs, churn prevented, and cost-to-save ratios. Set and track program KPIs, de-escalation rate, time-to-exit, CSAT delta, churn prevented, resource hours per account, and refine investment tiers based on actual data. Lead post-mortem reviews for every graduated account and route findings into QBRs, product prioritization, and process improvements, ensuring learnings reach the business within one quarter of exit. Lead Customer Intelligence & AI Own the multi-year vision and strategy for the Customer Health Platform, defining what it becomes beyond a Customer Success tool: the single, trusted platform for customer insight that every GTM function draws on to understand and act on customer signal Set the roadmap priorities for expanding Customer Health's reach: new data sources, new use cases, and new next-best-action and AI-driven experiences Make the platform-level calls on scope, sequencing, and investment as Customer Health scales across functions, as we as align with cross-functional executives on the path forward Ensure Customer Health and the Critical Accounts program reinforce each other: account health scores and signals should feed directly into critical account identification, triage, Get Well Plans, and portfolio reporting. Drive cross-functional alignment across Product, Marketing, and GTM on how Customer Health orchestrates and surfaces insight: who gets alerted about which issues, when, and through which channel (internal vs. external), and how health data and alerts show up in the comms and UI layer for account teams, customers, and partners. Provide Executive and Cross-Functional Leadership Serve as the connective tissue across Customer, Product & Technology, Engineering, and GTM leadership for everything related to customer risk, intelligence, and intervention. Give executives real-time, high-trust visibility into both the Critical Accounts and Customer Health portfolio What You Will Bring 12+ years in Customer Success, Program Management, or Customer/GTM Operations, ideally in a consumption-based or B2B SaaS company, with several years in a people-management or senior program leadership role. A track record of building a program or function from the ground up, not just running an existing one, including designing frameworks, standing up teams, and establishing executive reporting. Experience managing complex, multi-stakeholder engagements under pressure; direct experience with a critical accounts, save, or escalation management program is strongly preferred. Experience managing people leaders or senior individual contributors, with the judgment to set direction and hold others accountable without needing to run every workstream personally. Strong cross-functional leadership without direct authority, and the ability to align Director- and VP-level peers across functions to a shared plan. Executive-grade written and verbal communication; comfort presenting portfolio health, program KPIs, and business cases to senior leadership and, at times, the board. Data-driven approach to management: builds and tracks KPIs rather than relying on status updates, and is comfortable reasoning about scoring, health signals, or model-driven recommendations even without an engineering background. Familiarity with technical customer challenges (cloud, data infrastructure, or database preferred) and with how account teams actually work day to day. High composure in high-stakes, ambiguous situations, with a bias toward bringing decisions and solutions rather than problems. Nice to Have Experience building and managing a Critical Accounts or similar escalation/save function, from designing entry/exit criteria and playbooks through running the portfolio day to day. Experience owning or sponsoring an AI-powered customer intelligence, account health, or GTM tooling initiative spanning multiple functions. 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 data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform 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 data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 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: 2273504251 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $203,000—$398,000 USD

Develop and manage a customer listening strategy using AI insights to improve customer lifecycle and collaborate cross-functionally for business improvements. | 6+ years in CX or customer insights in B2B SaaS, proficiency with Medallia or Qualtrics, ability to synthesize data into executive recommendations and influence stakeholders. | About the Role As a key member of the Customer Experience Strategy team, you will help shape how the organization understands, prioritizes, and improves the end-to-end customer experience. This role sits at the intersection of customer listening, journey strategy, AI-powered insights, and cross-functional influence. Customer experience extends far beyond any single touchpoint or function. From initial awareness and evaluation through onboarding, adoption, support, renewal, and advocacy, every interaction contributes to how customers perceive our brand. In this role, you will build and evolve the mechanisms that help us understand those experiences holistically, identify the moments that matter most, and drive improvements across the entire customer lifecycle. You will be responsible for developing a comprehensive customer listening strategy, leveraging both structured and unstructured customer signals to uncover friction, identify opportunities, and measure customer sentiment at scale. You will create a unified view of the customer experience and help leaders make more informed, customer-centric decisions. Because every team influences the customer experience in some way, this role requires deep partnership across the organization. You will collaborate closely with Product, Customer Success, Support, Marketing, Sales, Operations, and other stakeholders to translate customer signals into coordinated action that improves both customer outcomes and business performance. This is a highly cross-functional role that serves as connective tissue across the organization. Success requires strong analytical skills, customer empathy, executive communication, and the ability to influence stakeholders without direct authority. This role can be based out of one of our US offices or remotely in the US region. In This Role, You Will Customer Listening & Experience Measurement Establish and manage a portfolio of listening posts, including relationship, transactional, and competitive feedback programs, creating a holistic understanding of customer sentiment and experience Identify gaps in customer feedback coverage and implement new listening mechanisms to better understand customer needs, pain points, and emerging opportunities Own the design, administration, reporting, and continuous improvement of customer listening programs and experience measurement frameworks AI-Powered Customer Signals & Experience Insights Develop scalable approaches for combining structured and unstructured customer signals into a unified view of the customer experience Leverage AI, natural language processing, sentiment analysis, and emerging technologies to identify trends, themes, friction points, and root causes across surveys, support interactions, customer conversations, and other feedback channels Build frameworks for detecting early warning signals, emerging customer risks, and opportunities for proactive intervention Utilize GenAI-powered tools to accelerate insight generation, summarize qualitative feedback, and surface meaningful customer patterns at scale Partner with technical and business teams to continuously improve the organization's customer intelligence capabilities Organizational Influence & Systemic CX Improvements Synthesize customer signals across multiple touchpoints and functions to uncover systemic issues that may not be visible within individual teams Analyze customer feedback and experience data to identify key drivers of customer satisfaction, loyalty, retention, and advocacy Translate customer insights into clear, compelling recommendations that influence decision-making and investment priorities across the organization Facilitate cross-functional reviews and action-planning sessions that align stakeholders around customer priorities and drive accountability for improvement Partner across Product, Engineering, Customer Success, Support, Marketing, Sales, Operations, and other teams to prioritize and implement customer experience enhancements Serve as a strategic advocate for the customer by ensuring customer perspectives are embedded into planning, prioritization, and operational decision-making Closed-Loop Feedback & Real-time Customer Action Own and continuously improve the organization's closed-loop feedback strategy, ensuring customers receive timely and meaningful follow-up when concerns are raised Partner with frontline teams to establish and maintain effective customer response processes, within established SLAs, including detractor outreach and service recovery workflows Monitor closed-loop performance and identify systemic issues requiring broader organizational action Ensure customer feedback drives both immediate customer recovery efforts and long-term experience improvements Track the impact of actions taken in response to customer feedback and communicate outcomes to stakeholders Minimum Requirements 6+ years of experience in Customer Experience, Customer Experience Strategy, Customer Insights, Market Research, or a related discipline within a B2B SaaS or enterprise environment Experience designing and operating customer listening programs and translating customer feedback into business action Demonstrated ability to synthesize quantitative and qualitative customer data into actionable insights and recommendations Experience working with customer feedback platforms such as Medallia, Qualtrics, or similar experience management solutions Familiarity with AI-enabled research, text analytics, sentiment analysis, or other approaches for analyzing unstructured customer feedback Experience managing closed-loop feedback programs and customer recovery processes Proven ability to influence stakeholders and drive alignment across complex, cross-functional environments Strong analytical, communication, and storytelling skills, including experience presenting insights to senior leaders and executive audiences Ability to manage multiple priorities and operate effectively in a fast-paced environment Preferred Qualifications Experience applying GenAI, machine learning, or advanced analytics techniques to customer feedback analysis and insight generation Experience building or enhancing customer listening frameworks, feedback taxonomies, or customer intelligence programs Familiarity with customer journey mapping, experience measurement methodologies, and customer lifecycle analysis Understanding of customer experience metrics, benchmarking methodologies, and statistical analysis techniques 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 data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform 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 data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 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: 2273495774 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $106,000—$208,000 USD

Lead complex customer-facing professional services engagements ensuring alignment with strategic business outcomes and rigorous governance. | 8+ years leading complex SaaS or consulting projects with AI fluency and strong project delivery skills including Jira. | MongoDB Professional Services acts as the delivery owner for complex customer initiatives, translating strategic goals into measurable outcomes across modernization, migration, and AI-related programs. We drive accountability through strong governance, proactive risk management, and alignment with customer priorities. About the Role As a Senior Project Manager, you will serve as the accountable delivery lead for complex, customer-facing Professional Services engagements. You will translate customer objectives into clear delivery strategies, balancing customer outcomes with Professional Services business discipline (efficiency, utilization, and health). We’re looking for candidates who are comfortable working remotely in the US and are able to support either east or west coast customers and internal stakeholders. You will partner consultatively with stakeholders to shape priorities, manage tradeoffs, and ensure delivery remains focused on high-value outcomes. This role requires an operator who can navigate technically complex environments, lead executive-level governance, and integrate AI-related discovery into the engagement strategy to drive efficiency and value. What you will do: End-to-End Delivery: Lead engagements from kickoff through closeout, maintaining continuity and ensuring delivery aligns with customer priorities and business outcomes Governance & Operations: Establish rigorous delivery governance, including project planning, milestone tracking, RAID management, and status reporting Consultative Partnership: Serve as a trusted advisor, helping customers clarify objectives, make informed tradeoff decisions, and connect technical execution to strategic business value Stakeholder Management: Drive alignment and influence outcomes across cross-functional teams (Consulting, Sales, Customer Success) and customer stakeholders, even without direct authority Commercial & Delivery Health: Balance customer outcomes with sound business management, including financial discipline, resource utilization, and engagement risk mitigation AI Integration: Identify opportunities where AI consultation adds value, leveraging technical subject matter experts to drive efficiency and unlock outcomes Continuous Improvement: Contribute to organizational delivery standards and mentor team members to improve consistency and predictability What you bring: Experience: 8+ years leading complex, customer-facing projects or programs in SaaS, Consulting, or Professional Services Execution & Governance: Strong command of project delivery fundamentals (scope, schedule, risk, dependencies) and delivery tools (e.g., Jira, Smartsheet) Communication & Influence: Proven ability to influence cross-functional teams and maintain an executive presence with both technical and non-technical stakeholders Business Acumen: Deep understanding of Professional Services economics, engagement health, and linking delivery to long-term customer growth AI Fluency: A practical understanding of enterprise AI transformation; ability to identify AI use cases and facilitate relevant expert engagement Adaptability: Proficiency in both Agile and structured delivery models, with the judgment to operate effectively in ambiguous environments Preferred qualifications: Experience leading high-visibility database, cloud, or software modernization initiatives Familiarity with MongoDB products and services Experience facilitating strategic governance cadences (e.g., QBRs) 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 data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform 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 data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 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: 2273481019 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $90,000—$176,000 USD

Lead complex, cross-functional initiatives to improve GTM operational efficiency and scale customer lifecycle processes globally. | 7+ years in GTM or related operations roles with strong problem-solving, stakeholder management, and CRM system experience. | We are looking for a detail-oriented, strategic, and outcomes-driven Principal Analyst to join our GTM Operations team, supporting processes and systems across our global go-to-market (GTM) organization — including Customer Success, Sales, and other customer-facing teams. You will act as a senior thought partner to GTM leadership, owning complex, cross-functional initiatives that improve operational efficiency, drive data-informed decision making, and scale our customer lifecycle processes globally. This role requires the ability to influence senior stakeholders across functions and regions, navigate ambiguity, and turn strategy into measurable business impact. We are looking to speak to candidates who are based in the United States for our hybrid or remote working models. As a Principal GTM Operations Analyst, you will: • Partner with senior leaders across Customer Success, Sales, and other GTM teams to design, optimize, and scale core processes across the customer lifecycle, including customer engagement, renewals, and account management workflows • Own the strategy, design, and continuous improvement of global operational processes, ensuring scalability, consistency, and alignment to GTM and company priorities across regions • Translate ambiguous business problems into clear operational and technical requirements, working closely with CRM Engineering and GTM Systems teams to deliver high-impact system and tooling improvements • Drive material improvements in activity tracking, customer health signals, lifecycle workflows, and other key operational insights to enable better customer engagement, planning, and outcomes • Define, instrument, and monitor key performance indicators and operational metrics to evaluate GTM initiatives and provide clear, data-driven recommendations to leadership • Lead complex, cross-functional programs from problem definition through execution, including roadmap ownership, stakeholder alignment, risk management, and executive updates • Establish and maintain governance frameworks, operating cadences, and documentation to ensure process clarity, adoption, and continuous improvement across global GTM teams • Proactively identify operational gaps and inefficiencies, quantify impact, and propose data-driven solutions that improve GTM productivity, customer outcomes, and revenue performance • Serve as a mentor and senior partner within the GTM Operations team, helping raise the bar on process design, execution, and cross-functional collaboration • Bring forward new ideas, tools, and best practices that improve how we scale GTM operations globally The Ideal Candidate has: • Bachelor’s Degree in Business, Economics, Finance, Computer Science, or a related field • 7+ years of work experience in GTM Operations, Revenue Operations, Sales Operations, Customer Success Operations, Business Operations, or a related field • Demonstrated ability to solve complex, ambiguous problems end-to-end — from framing and analysis through recommendation, execution, and measurement • Proven track record of designing and scaling GTM processes and driving measurable process and productivity improvements for a global GTM organization • Experience leading cross-functional projects and programs with multiple senior stakeholders, with a strong ability to influence without direct authority • Excellent communication skills, including the ability to synthesize complex concepts into clear narratives and influence both business and technical stakeholders, including senior leaders • Deep experience with CRM systems, particularly Salesforce, and familiarity with GTM tooling • Experience in a consumption/pay-as-you-go business model is a plus • Strong organizational skills and the ability to manage multiple, competing priorities in a fast-paced, globally distributed organization • A proactive, ownership-minded approach and the ability to operate with a high degree of autonomy and accountability for outcomes 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: 1273423069 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $84,000—$165,000 USD

Design and build a world-class distributed query optimization system for MongoDB. | 10+ years in data management systems, strong C++ or systems programming skills, and expertise in database query engines. | 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 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $173,000—$297,000 USD

Lead cross-functional initiatives to improve GTM operational efficiency and scale customer lifecycle processes globally. | 7+ years in GTM or related operations, strong problem-solving, stakeholder management, and CRM experience. | We are looking for a detail-oriented, strategic, and outcomes-driven Principal Analyst to join our GTM Operations team, supporting processes and systems across our global go-to-market (GTM) organization — including Customer Success, Sales, and other customer-facing teams. You will act as a senior thought partner to GTM leadership, owning complex, cross-functional initiatives that improve operational efficiency, drive data-informed decision making, and scale our customer lifecycle processes globally. This role requires the ability to influence senior stakeholders across functions and regions, navigate ambiguity, and turn strategy into measurable business impact. We are looking to speak to candidates who are based in the United States for our hybrid or remote working models. As a Principal GTM Operations Analyst, you will: • Partner with senior leaders across Customer Success, Sales, and other GTM teams to design, optimize, and scale core processes across the customer lifecycle, including customer engagement, renewals, and account management workflows • Own the strategy, design, and continuous improvement of global operational processes, ensuring scalability, consistency, and alignment to GTM and company priorities across regions • Translate ambiguous business problems into clear operational and technical requirements, working closely with CRM Engineering and GTM Systems teams to deliver high-impact system and tooling improvements • Drive material improvements in activity tracking, customer health signals, lifecycle workflows, and other key operational insights to enable better customer engagement, planning, and outcomes • Define, instrument, and monitor key performance indicators and operational metrics to evaluate GTM initiatives and provide clear, data-driven recommendations to leadership • Lead complex, cross-functional programs from problem definition through execution, including roadmap ownership, stakeholder alignment, risk management, and executive updates • Establish and maintain governance frameworks, operating cadences, and documentation to ensure process clarity, adoption, and continuous improvement across global GTM teams • Proactively identify operational gaps and inefficiencies, quantify impact, and propose data-driven solutions that improve GTM productivity, customer outcomes, and revenue performance • Serve as a mentor and senior partner within the GTM Operations team, helping raise the bar on process design, execution, and cross-functional collaboration • Bring forward new ideas, tools, and best practices that improve how we scale GTM operations globally The Ideal Candidate has: • Bachelor’s Degree in Business, Economics, Finance, Computer Science, or a related field • 7+ years of work experience in GTM Operations, Revenue Operations, Sales Operations, Customer Success Operations, Business Operations, or a related field • Demonstrated ability to solve complex, ambiguous problems end-to-end — from framing and analysis through recommendation, execution, and measurement • Proven track record of designing and scaling GTM processes and driving measurable process and productivity improvements for a global GTM organization • Experience leading cross-functional projects and programs with multiple senior stakeholders, with a strong ability to influence without direct authority • Excellent communication skills, including the ability to synthesize complex concepts into clear narratives and influence both business and technical stakeholders, including senior leaders • Deep experience with CRM systems, particularly Salesforce, and familiarity with GTM tooling • Experience in a consumption/pay-as-you-go business model is a plus • Strong organizational skills and the ability to manage multiple, competing priorities in a fast-paced, globally distributed organization • A proactive, ownership-minded approach and the ability to operate with a high degree of autonomy and accountability for outcomes 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: 1273423069 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $84,000—$165,000 USD

Manage workforce planning and recruiting operations through data-driven forecasting and stakeholder alignment. | Requires 8+ years in analytical and consultative roles with expertise in data modeling, recruiting operations, and stakeholder influence. | The Opportunity This is a high-impact, strategic role designed for a professional to bridge the gap between Finance, Recruiting, and Business Operations. As the Workforce Insights Manager, you will serve as the primary advisor to the Director of Recruiting Operations on the feasibility, health and execution of our global hiring plan. You will move the organization from reactive headcount tracking to a predictive, data-driven model that ensures our recruiting capacity is always aligned with our business needs. This role requires a blend of financial, recruiting and data analysis acumen, operational auditing and the ability to influence senior leadership through data-driven storytelling. You will help to ensure that hiring goals are backed by a realistic operational plan. Key Responsibilities and Focus AreasWorkforce Planning & FP&A Integration Strategic Reconciliations: Develop and own foundational recruiting forecast and capacity models. You will serve as the operational point of contact to FP&A analysts to ensure that hiring forecasts are aligned with Recruiting’s operational reality. Predictive Forecasting: Lead the development of hiring forecasts. You will provide the Recruiting Leadership Team (RLT) with the data and insights needed to advise Business Unit leaders on when to activate roles, when to defer hiring and how to reallocate capacity. Capacity Governance: Establish and maintain the standards for recruiting bandwidth. You will identify when business demand exceeds recruiter or interviewer capacity and provide the impact analysis used for trade-off discussions with senior stakeholders. Recruiting Intelligence & Process Optimization Root Cause Analysis: Conduct deep-dive audits into the recruiting lifecycle. You will identify specific friction points; such as late-stage requirement changes, interviewer misalignment or funnel drop-offs and quantify their impact on total hiring velocity. Productivity Modeling: Analyze activation dates and historical time-to-fill data to provide high-accuracy projections for start dates, enabling Finance to more accurately develop forecasts and resource allocation. Operational Advisory: Act as an internal consultant on hiring efficiency and resource allocation. When data indicates a decline in productivity, you will diagnose the cause and propose specific structural or process improvements to restore velocity. You will lead the feasibility review for strategic hiring initiatives to advise the RLT on resource requirements. Executive Alignment & Change Management Stakeholder Management: Participate in regular meetings with FP&A, HRBPs and Recruiting Leadership. By helping the Director of Recruiting Operations drive cross-functional workstreams, you will help ensure alignment on the hiring plan and allow Recruiting Leadership to focus on execution. Strategic Influence: Use data to drive accountability across the business. You will be responsible for advising the Director of Recruiting Operations on hiring behaviors and roadblocks, ensuring they understand the downstream effects of talent decisions. Required Qualifications • 8+ years of professional experience, including working in a highly analytical and consultative role (e.g., Management Consulting, Recruiting Operations, FP&A, or Workforce Strategy) • Advanced Data Modeling: Expert-level proficiency in Excel or Google Sheets. You must be able to build complex, multi-scenario models and translate technical findings into clear executive summaries • Consultative Expertise: Demonstrated ability to influence senior stakeholders by presenting data-backed recommendations and driving strategic pivots • Operational Literacy: A strong understanding of talent acquisition, workforce planning and headcount management. Experience in a high-growth corporate environment is essential Preferred Qualifications • Direct experience in headcount reconciliation and financial planning • Familiarity with the full recruiting lifecycle and talent acquisition systems (e.g., Greenhouse, Workday) • Experience professionalizing an existing operational framework from an initial prototype to a global standard 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: 1273405919 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $62,000—$121,000 USD

Design and build a distributed open-source query optimizer for MongoDB, focusing on query parsing, optimization, and plan selection. | 10+ years in data management systems, strong C++ or systems programming experience, expertise in database query engines, and leadership in software architecture. | 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 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $151,000—$297,000 USD

Lead AI-driven transformation of post sales technology to enhance customer support and agent productivity. | 10+ years leading AI adoption, strong product management and technical knowledge in post sales platforms, strategic leadership, and excellent communication skills. | 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. • 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 • 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 • 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 • 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 • 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 • 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 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $168,000—$330,000 USD

Develop and maintain distributed data replication features in C++, handle customer escalations, write tests, and collaborate across teams. | 5+ years programming/debugging distributed C/C++ systems, strong systems fundamentals, familiarity with distributed consensus and database internals, excellent communication and mentoring skills. | MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it's no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. The MongoDB Replication Team builds infrastructure to support fault tolerance, high availability, and tunable consistency. Distributed systems is a core focus of MongoDB, and the projects delivered by the Replication Team are highly visible, typically among the flagship features for each major MongoDB release. We're currently working on improving our API and interface boundaries so that we can meet the performance and correctness needs of the world's most demanding enterprises while enabling new, more efficient data storage and retrieval patterns. Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to work on a collaborative team that applies distributed systems fundamentals to deliver core features of a popular database, join us! Let's change what's possible for application developers, system architects, and database operators. This role can be based out of our NYC headquarters, office hub locations, or remotely in the United States and Canada Candidate Profile • Minimum 5 years of experience in programming, debugging, and performance tuning distributed and/or highly concurrent C/C++ software systems. Candidates with more experience will be considered for more senior roles. Experience in C++ is preferable but not required • Strong systems fundamentals, including multi-threaded programming and performance profiling • Familiarity with distributed systems such as consensus protocols, data replication, distributed transactions, and fault tolerance • Familiarity with database internals or building core components for data processing systems • Excellent verbal and written technical communication skills and a desire to collaborate with colleagues and mentor junior engineers and interns • Excellent time management skills and the ability to make realistic assessments of project complexity • Passion for learning new things in the domains of computer science and software engineering Responsibilities • Develop novel data replication solutions based on the Raft consensus protocol for ensuring automatic failover and zero-downtime of user applications • Handle distributed systems related customer escalations from Technical Support team • Write production-ready database code in C++ • Write unit tests and integration tests in C++, Javascript, and Python to demonstrate application correctness • Diagnose test failures, identify bugs in existing code, and fix them • Investigate the performance impact of code changes that may cause software performance regressions • Interview candidates for software engineering positions • Handle customer escalations • Collaborate with stakeholders and engineering teams across the company to jointly work on large initiatives Success Measures • In the first month, you will have understood the high level architecture of MongoDB replication and fixed a few bugs • In three months, you will have contributed to the development in C++ of a project slated for the next major release of MongoDB, and diagnosed and fixed a few customer or testing-reported issues • In six months, you will have taken on code review responsibilities and are involved in reviewing the design for new features • In twelve months, you will be leading the development of a new feature and helping to mentor new engineers on the team 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: 425212

Design scalable MongoDB-based applications and infrastructure, guide customers on architecture, collaborate with sales teams, and generate technical demand. | 12+ years related experience including 7+ years pre-sales in complex enterprise software sales, programming skills, cloud and on-prem distributed systems design, excellent communication, and ability to travel. | Description: • Design scalable and performant applications, systems and infrastructure leveraging MongoDB • Guide customers on architecture patterns and optimization strategies for MongoDB and articulate business value to stakeholders • Collaborate with sales team on account planning, opportunity prioritization/qualification and pipeline generation • Own technical aspects including technical discovery, demos, proof of value, presentations, sizing and documentation • Proactively generate demand within the sales territory via technical initiatives and events • Foster strong customer relationships, build champions and ensure customer success and satisfaction • Relay field feedback to product teams, mentor Solutions Consulting team members, and publish thought leadership • Engage in ongoing training and professional development to stay abreast of MongoDB product suite and industry trends Requirements: • Ideally, 12+ years of related experience in a customer facing role • Minimum 7 years of pre-sales experience while navigating complex enterprise software sales cycles with multiple stakeholders • Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity • Experience designing with scalable and highly available distributed systems in the cloud and on-prem • Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology • Excellent presentation, communication, and interpersonal skills • Presented at industry conferences, published articles, papers or blog posts showing thought leadership • Demonstrated ability to drive effective collaboration with Sales Leadership at the Regional Director level • Demonstrated strong understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message • Ability to travel up to 25% • A Master’s degree or equivalent work experience • (Nice to have) Experience with database programming and data models • (Nice to have) Experience in data engineering or AI/ML projects • (Nice to have) Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks • (Nice to have) Experience in SRE practices • (Nice to have) Proven ability to up-level the broader organization by sharing best practices or creating reusable assets • (Nice to have) A MongoDB Certification • (Nice to have) A Cloud Provider Certification Benefits: • equity • participation in the employee stock purchase program • flexible paid time off • 20 weeks fully-paid gender-neutral parental leave • fertility and adoption assistance • 401(k) plan • mental health counseling • access to transgender-inclusive health insurance coverage • health benefits offerings • employee affinity groups • ongoing professional training and development

Maintain and improve security operations tooling, respond to incidents, develop automation workflows, and collaborate cross-functionally to enhance security posture. | Experience in security operations, incident response, cloud security, SIEM/SOAR/EDR tooling, threat detection, and relevant certifications like GIAC or CEH. | MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. The MongoDB Information Security team is seeking a motivated Information Security Analyst to join us. The ideal candidate will have a vast background in security, including but not limited to, experience in corporate environments, incident response, systems, applications, and an understanding of cloud environments. This is an exciting opportunity to be a key member of our Information Security Operations team. We are an end to end Security Operations team. You will be responsible for solving technical and administrative problems, reducing risk, and building trust. You will also be responsible for maintaining security solutions, tooling, alerting, and automation workflows. The team aims to seek challenges, analyze alerts, establish trust across the team and greater org. We are looking for someone with the following skills: • Displayed experience in security operations, incident response, and threat hunting disciplines • Practical knowledge of common threats and exposures to web applications and services • Experience with detection / incident tooling or automation workflow optimization • Proficient in cloud ecosystems, including tools, technologies, and how to secure them • Proven experience in operating & maintaining SIEM, SOAR, and EDR; developing queries and alerts • Accustomed to performing investigations, analysis and communicating the events or incidents to proper stakeholders clearly • Experience deploying tooling to advance investigation tactics and incident response across different environments ie; corporate environments and cloud environments • A strong understanding of MacOS, Linux, and Windows security • Love to learn; you are motivated to learn about security and tinkering • Experience interfacing with technical and non-technical individuals. Ability to adjust the level of technicality depending on the audience • GIAC, CEH, GSOC certificates Position expectations: • Drive maturity of Operations by suggesting overall improvements ie; playbooks, detections, automations, and gaps critical in working with other teams and departments • Strong understanding of fedRAMP security alerts • Leverage and maintain automation workflows, and enriching discoveries and detections • Utilizing analysis frameworks (ie; MITRE) to better understand gaps, and work towards closing those gaps • Displayed experience in responding to fedRAMP security alerts • Maintain, improve, and configure Information Security Operations tooling and alerts • Develop and maintain well written documentation and playbooks • Work cross functionally with multiple teams deploying tooling, establishing new processes, or improving existing processes • Ability to quickly learn new Information Security concepts and adapt to a modern, fast-paced organization • Mentor and train others on the team to level up. We will all grow together • Participate in weekly on-call rotations 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: 3263220434 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $118,000—$231,000 USD

Lead and architect a scalable AI agent orchestrator platform, build benchmarking and evaluation suites, and manage a high-performing engineering team. | 4+ years technical leadership in engineering teams, 2+ years hands-on AI agent framework experience, expertise in distributed systems, container orchestration, cloud infrastructure, and backend development. | MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. We're looking for a Lead AI Engineer with a background in building AI/ML platform. We are a diverse and talented group of contributors building tools to migrate legacy applications to MongoDB Atlas, our database-as-a-service (DBaaS) offering. This is an exciting opportunity to lead and grow an established team that is undergoing rapid expansion. In this leader-of-leaders position, you will shape the future of the Application Modernization team. Organizations struggle with legacy applications that lack scalability, resilience, and cloud compatibility. To modernize these systems, many migrate from relational databases to MongoDB—a leading developer data platform for transactional systems. MongoDB's Application Modernization team helps customers through this complex transition with tools like Relational Migrator and is now expanding to include AI-powered code modernization solutions to accelerate the migration process. We are looking to speak to candidates who are based in the US or Canada for our hybrid working model. Our ideal candidate will have • 4+ years of technical leadership experience managing engineering teams, building platform infrastructure in fast-paced, early-stage environments • 2+ years of hands-on experience building and deploying AI agent solutions using frameworks such as AutoGen, CrewAI, LangGraph, TaskWeaver, LangChain, Semantic Kernel, or evaluation suites like OpenAI Evals • Deep understanding of multi-agent coordination, task decomposition, and agent-to-agent communication patterns • Proven experience in distributed systems, platform engineering, or developer tooling • Expertise with container orchestration (Kubernetes, Docker) and cloud infrastructure (AWS/GCP/Azure) • Proficiency in Python and/or JavaScript/TypeScript for building scalable backend services and APIs • Experience with workflow orchestration tools and event-driven architectures • Strong background in building automated testing frameworks, benchmarking systems, and CI/CD pipelines • Experience with performance monitoring, metrics collection, and statistical analysis for system evaluation Position Expectations • Lead the design and development of a scalable agent orchestrator platform that can deploy, manage, and coordinate multiple AI agents across different use cases • Architect and build a comprehensive benchmarking and evaluation suite for testing agent performance, reliability, and safety across multiple dimensions: accuracy, latency, cost-effectiveness, and robustness • Build robust APIs and SDKs that enable seamless integration of various agent frameworks and models • Establish engineering best practices for code quality, testing, documentation, and deployment • Collaborate closely with ML researchers, product managers, and security teams to define evaluation criteria and platform requirements • Drive technical decision-making and architecture reviews while balancing innovation with system stability • Stay current with the rapidly evolving agent ecosystem and evaluate new frameworks and approaches • Lead and coach a high-performing team of software engineers through the complexities of 0-1 platform development • Partner effectively with engineering and product leaders to align on direction and execution • Create a balanced environment that encourages both iterative improvement and rigorous evaluation Success Measures Within the first three months, you will have: • Familiarise yourself with the MongoDB database and aggregation language • Familiarise yourself with the problem space and the domain • Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks • Started collaborating with your peers and contributed to code reviews • Established deep technical understanding of agent orchestration frameworks, evaluation methodologies, and our existing platform architecture Within six months, you will have: • Provide design and architectural guidance in extending current software and developing new software • You will be involved in our recruitment of new team members • Identify what mentorship each individual needs to enable them to meet their goals • Delivered core components of the agent orchestrator platform with robust API interfaces and SDK foundations Within 12 months, you will have: • You will contribute to the vision and growth of our team • You will be involved in our recruitment of new team members • Delivered a comprehensive evaluation suite that provides reliable benchmarking across performance, cost, and safety dimensions • You will be trusted to execute complex projects • Deliver at least one release of our products Life at 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: 3263226538 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $137,000—$270,000 USD

Lead a team of engineers to develop and maintain core distributed database components, manage people and projects, and drive technical and process improvements. | 2+ years managing software engineering teams, strong C++ development experience in complex systems like databases or distributed systems, leadership and coaching skills. | MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. Join and lead MongoDB’s Server Programmability team, helping build the core of a distributed database! Server Programmability’s responsibilities include, but are not limited to, improving local server development experience and velocity, enhancing the programming model, and building low level reusable software components that can be leveraged by other teams working on the database. Our team currently consists of six engineers, located both in New York City and fully remote. We operate close to the bottom of the stack, and have a lot of influence over the performance and robustness of our open source database as well as the development efficiency of the engineering team overall. Recently, we’ve built tooling to help support better modularization of the server codebase, migrated server unit testing to a well supported open-source framework, and are currently evaluating the feasibility of introducing coroutines to the Server codebase. Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to work on a collaborative team that applies great engineering fundamentals to deliver the foundational components of a popular database, join us! Let’s change what’s possible for application developers, system architects, and database operators everywhere. Note: This role can be based out of our NYC office or remotely from anywhere in the United States. You’re an ideal candidate if: • You have 2 or more years of experience managing a team of software engineers • You have strong technical judgment that you use to effectively guide engineering decisions • You have first-hand experience developing complex systems in C++ (like databases, distributed systems, or high-performance applications) and you use this context to understand the challenges your team faces • You enjoy coaching, career development, and creating growth opportunities to help your team reach their full potential • You care about building a diverse, inclusive environment where engineers can do their best work • You put the customer first and don't hesitate to cross team boundaries in search of the right solution As a Lead Engineer, Server Programmability you will: • Lead a team of 5-8 engineers, managing all aspects of people management including hiring, growth, compensation, and performance management • Be directly responsible for the results your team delivers • Own the definition and execution of the team’s 12-month roadmap • Drive improvements to processes and tools especially those that allow us to confidently make changes to high risk parts of our codebase • Use data to inform decisions and measure the impact of work the team ships • Guide the team through making complex changes that balance performance against other requirements • Handle (or lead the effort to handle) time-sensitive customer escalations • Collaborate with stakeholders and engineering teams across the company to jointly work on large initiatives • Work with product managers, program managers, and other teams to specify, prioritize and deliver new features that delight our users • Ensure high quality and velocity in the design and implementation of new functionality in MongoDB server Success Measures In the first month: • You have understood the high level architecture of the server and the team's responsibilities • You are starting to develop relationships with key stakeholders • You have gained familiarity with the required day-to-day processes to manage the team In three months: • You have taken over management of your team, and are starting to build trust with your reports • You have assumed responsibility for the day-to-day processes necessary to keep the lights on • You are involved in reviewing the design for new features and helping the team navigate technical challenges In six months: • You have established your role as a leader in the organization such that team members naturally go to you for guidance • You are beginning to involve yourself in planning and roadmapping efforts • You are leading the planning and execution of a new major feature In twelve months: • You have performed a full annual cycle of performance and growth conversations with your team members • You have contributed to the vision for the future of the Server Programmability team and helped develop a plan to achieve that vision • You have increased the capability and velocity of your team in measurable ways 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: 3263231312 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $137,000—$270,000 USD

Lead and deliver high-impact security, compliance, and IAM programs ensuring regulatory adherence and scalable product experiences. | 10+ years leading technical programs with 5+ years in security/compliance, deep IAM knowledge, experience with FedRAMP or similar standards, and strong cross-team collaboration skills. | MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. As a Staff Technical Program Manager at MongoDB, you will drive the successful delivery of high-impact, cross-functional programs that are critical to our security, compliance, and identity & access management (IAM) strategy. You will own the end-to-end program lifecycle—from planning and technical scoping to execution and delivery—ensuring we meet stringent regulatory requirements like FedRAMP while enabling secure, scalable product experiences for our customers. You will partner with Engineering, Product Management, Security, GRC, and field-facing teams to define program goals, align on priorities, and execute against our broader product vision. You’ll uncover solutions to complex technical and compliance challenges, facilitate design trade-off discussions, and provide the data-driven insights that influence strategic decision-making at the highest levels. This role will be based remotely in the United States. What you’ll do • Lead critical security and compliance programs, including FedRAMP authorization and renewals, IAM platform enhancements, and related initiatives—to elevate our posture from moderate to high-level compliance across MongoDB’s products and infrastructure • Leverage deep technical acumen and analytical skills to break down abstract compliance and security requirements into actionable engineering deliverables • Partner closely with Security, GRC, and Engineering stakeholders to proactively identify and mitigate risks related to compliance, security posture, and program delivery • Drive programs that intersect infrastructure, application security, identity management, and access control, ensuring robust and compliant architectures • Develop and scale program management frameworks that balance agility with operational rigor, providing the right level of process to ensure predictable outcomes • Act as a key liaison in technical design discussions, summarizing trade-offs, risks, and recommended paths forward for executives and technical leaders • Build strong, trust-based relationships across Product, Design, GTM, and Security teams to accelerate decision-making and execution • Mentor junior TPMs and lead by example in setting a high bar for operational excellence, stakeholder communication, and delivery predictability • Apply deep knowledge of compliance frameworks (FedRAMP, SOC 2, ISO 27001, HIPAA, GDPR) to advise on program scope, dependencies, and roadmap impacts What we’re looking for • 10+ years in an engineering organization leading large-scale, cross-functional technical programs, including 5+ years of direct experience with security, compliance, and privacy-focused initiatives • Proven track record delivering programs aligned to FedRAMP or other regulated industry standards, including working with auditors, control owners, and engineering leads to achieve and maintain certification • Practical experience in Identity and Access Management, authentication/authorization protocols (e.g., SAML, OIDC, OAuth), role-based access control, and related security architectures • Ability to participate in and influence technical discussions, with a background in software development, infrastructure, or systems engineering • Skilled at identifying compliance, security, and delivery risks early, and partnering with teams to create actionable mitigation plans • Adept at orchestrating multiple concurrent work streams with complex interdependencies • Exceptional written and verbal skills to bridge the gap between technical and non-technical stakeholders • Balances regulatory requirements with user and business needs to deliver secure, compliant, and customer-centric solutions Preferred Qualifications • Experience managing a portfolio of compliance programs beyond FedRAMP (e.g., SOC 2, ISO 27001, HIPAA, GDPR) • Familiarity with MongoDB or similar database technologies • Hands-on experience with program management tools like Jira, Aha, or Rally 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: 3263215969 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $115,000—$226,000 USD