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Provide technical support to MongoDB customers by diagnosing complex architecture, performance, recovery, security, and deployment issues. Advise customers on operating MongoDB at scale, communicate solutions clearly, advocate for customer needs with product and development teams, and contribute to internal support-tool development. The role requires strong troubleshooting, systems, database, networking, cloud, communication, teamwork, and continuous-learning skills.

Develop and execute product-led growth, lifecycle marketing, and technical audience programs for Voyage AI. Drive awareness, onboarding, activation, adoption, expansion, and continued usage through campaigns, content, experimentation, segmentation, and emerging channels. Partner cross-functionally with Product, Analytics, Data Science, Product Marketing, and Builder Relations. Analyze funnel and product adoption metrics, identify growth opportunities, optimize customer experiences, and create data-driven strategies for developer and AI-focused audiences.

Leads a distributed cloud support team as a hands-on technical player-coach. Responsibilities include resolving complex customer issues, managing escalations and incidents, monitoring support quality and queue health, mentoring engineers, improving processes, creating technical documentation and training, and coordinating with Engineering, Product, Security, Legal, Billing, and global support teams.

Provides legal support to global Procurement by drafting and negotiating high-value third-party agreements, advising stakeholders on contracting risks, and maintaining procurement legal processes, playbooks, templates, and training. The role addresses data privacy, security, AI, intellectual property, technology contracting, and vendor risk while leveraging automation and contract lifecycle management tools.

Build and operate production MongoDB integrations and application capabilities directly within ISV codebases. Design data models, migrations, synchronization, dual-write and CDC solutions, and production-ready deployments across cloud, Kubernetes, and on-premises environments. Collaborate with partner engineers through implementation, code reviews, documentation, rollout, and knowledge transfer. The role involves regular travel and on-site work with partners.

Own the vision, strategy, and roadmap for MongoDB’s Partner Platform, including Partner API, self-service onboarding, enterprise controls, billing, discovery, and partner-managed experiences. Translate partner and customer needs into scalable product capabilities, establish operating models and success metrics, and coordinate engineering, security, billing, design, documentation, marketing, and field teams. Represent MongoDB externally while enabling reliable, secure experiences for human and AI-agent developers.

Manage strategic G2000 customer accounts as a technical and business advisor. Drive retention, consumption growth, revenue realization, executive advocacy, and long-term success through customer business reviews, roadmap alignment, forecasting, and risk mitigation. Build relationships with C-suite and technical leaders, coordinate global resources, influence product strategy, and lead complex migrations and modernization initiatives.

Manage a multi-million-dollar book of business, retain and grow high-value customer accounts, build qualified sales pipeline, prospect into technical leaders, and close opportunities. The role requires developing MongoDB product expertise, articulating complex technology value, building customer relationships and champions, and partnering with solution architects and professional services. Success depends on quota attainment, strategic prospecting, sales methodology, and effective territory management.

The Senior Site Reliability Engineer will design, optimize, and maintain MongoDB's multi-tenant distributed storage systems, ensuring reliability and operational safety while implementing automation solutions and participating in on-call support.

Lead pricing and packaging strategy, build financial and operational models, analyze customer and competitive data, partner with Finance/Product/Engineering/GTM, communicate recommendations to leadership, and drive cross-functional execution to operationalize pricing, SKUs, billing, and product changes.