Jobs at MongoDB

Design scalable MongoDB-based applications and infrastructure, advise customers on architecture and optimization, and partner with sales teams on technical discovery, demonstrations, proofs of value, presentations, sizing, and account strategy. The role also generates demand through technical initiatives and events, develops customer champions, mentors solutions consultants, and stays current on MongoDB, cloud, AI, and modern architecture technologies.

Drive MongoDB’s growth among AI-native startups in the San Francisco Bay Area by identifying net-new opportunities, engaging founders and technical executives, managing complex enterprise sales cycles, building VC and technology partnerships, and exceeding revenue targets. The role develops data-driven go-to-market strategies, cultivates executive relationships, and positions MongoDB products against competing technologies.

Drive net-new enterprise sales within the San Francisco Bay Area startup and AI ecosystem. Build executive relationships with founders, venture capital firms, developers, and technical decision-makers; develop data-driven go-to-market strategies; manage complex, multi-stakeholder sales cycles; establish product and go-to-market partnerships; exceed revenue targets; and position MongoDB’s data platform against competitors.

Design, architect, build, and deliver core identity and access management services for MongoDB Atlas. Lead complex technical projects from specification through delivery, improve engineering practices and code quality, define priorities, and mentor team members. The role focuses on authentication, authorization, backend systems, and secure customer-facing IAM features while supporting FedRAMP requirements.

Leads Recruiting Operations strategy across process optimization, recruiting technology modernization, talent intelligence, data architecture, governance, and compliance. Owns the TA tooling roadmap, vendor relationships, workflow redesign, reporting, and recruiting analytics while partnering across People, HR Technology, legal, security, and business teams. Manages and develops the RecOps team, drives AI and automation initiatives, ensures data integrity and regulatory adherence, and delivers scalable hiring infrastructure.

Own and evolve MongoDB’s global network infrastructure, including Cisco Meraki, VPN, SASE, authentication, firewalls, wireless, and cloud networking. Design and deploy secure, highly available office networks; troubleshoot complex L3 issues; automate network operations; partner with InfoSec, workplace, physical security, ISPs, and vendors; communicate risk and strategy; and mentor network engineers.

Drive expansion within MongoDB’s existing enterprise customer base by prospecting for new workloads, engaging technical and executive stakeholders, managing the full sales cycle, and achieving revenue targets. Build strategic territory plans and Salesforce/Clari pipelines, collaborate with partners and cloud providers, and communicate the business value of complex enterprise technology.

Lead the architecture and technical direction of MongoDB’s next-generation Search and Vector Search infrastructure. Own cross-system data infrastructure, define technical roadmaps, evolve mongot and Mongo Management Service, drive complex multi-team initiatives, make distributed-systems decisions around consistency, durability, scale, and failure modes, and mentor engineers while influencing leadership and global engineering practices.

Owns product strategy, roadmap, and delivery for partner-focused go-to-market technology, including PRM platforms, partner workflows, AI automation, Salesforce integrations, and ecosystem information sharing. Collaborates with sales, alliances, engineering, security, finance, and operations teams to improve partner productivity, deal execution, adoption, and revenue insights. Defines requirements, metrics, priorities, integrations, and change-management plans for scalable enterprise SaaS capabilities.

Leads a regional team of MongoDB Support Engineers within a global 24x7 technical services organization. Responsibilities include people management, customer escalations, technical troubleshooting, cross-functional collaboration, hiring and performance management, KPI development, process improvement, and customer advocacy. The role also requires developing team growth plans, supporting MongoDB and Atlas implementations, contributing to knowledge resources, and driving efficiency across follow-the-sun support operations.

Manage revenue accounting operations for a high-growth SaaS company, including month-end close, revenue recognition, reconciliations, contract reviews, ASC 606 compliance, audits, forecasting support, revenue analytics, and control maintenance. The role also provides oversight to Revenue Analysts and partners cross-functionally with OTC, FP&A, and other teams on complex revenue initiatives and projects.

Lead the long-term vision and strategy for MongoDB Search infrastructure. Partner with engineering, SRE, and solutions architecture teams to translate distributed-systems tradeoffs into customer value, improve observability and operational reliability, define SLOs, and guide major search capabilities from concept through general availability. Drive customer discovery and strategic investments supporting scalable vector, hybrid, and AI-native applications.

Advise enterprise customers on complex MongoDB deployments, mitigate technical and business risks, conduct executive business reviews, and drive retention, revenue realization, adoption, advocacy, and account maturity. Manage strategic portfolios, forecast outcomes, maintain customer data hygiene, identify expansion opportunities, coordinate cross-functional resources, influence product strategy through customer feedback, and mentor team members and new hires.

Own the strategy, roadmap, and delivery of Order to Cash and revenue capabilities, including order management, billing, accounts receivable, collections, renewals, revenue recognition, close processes, and ERP integrations. Partner across Finance, Revenue Operations, Sales, Engineering, Architecture, and Program Management to improve revenue accuracy, automation, auditability, SOX controls, and cash realization. Define requirements, prioritize backlogs, manage integrations, establish KPIs, coordinate testing and releases, and drive adoption across revenue systems.

The Senior Director, HR Business Partnering at MongoDB will lead HR strategies, talent management, and organizational design to drive business growth and culture. The role involves partnering with senior leaders, influencing decisions, and managing a global HRBP team.

Lead global program management for the PoD operating model and AI/Digital Native/Acquisition segments. Architect segmentation, whitespace/TAM analysis, playbooks, quota sizing, and cross-functional alignment to scale account-based coverage for strategic global accounts.

Lead efforts to build, enhance, and scale data products for MongoDB’s Product and Technology teams. Collaborate with stakeholders to define product strategy and deliver data solutions that drive innovation and customer value.

The Senior Research Scientist will lead research in AI, focusing on large language models and embedding techniques while collaborating with cross-functional teams.

Manage Finance-focused data products, collaborating with teams to define requirements and drive delivery for financial analysis and reporting.

Develop and maintain Kubernetes runtime environments, support developers, resolve critical issues, and participate in on-call rotations for production systems.