Top Tech Jobs & Startup Jobs

Senior Director responsible for leading growth-focused product management at MongoDB. The role is associated with MongoDB Atlas, a globally distributed, multi-cloud data platform available across AWS, Google Cloud, and Microsoft Azure. Specific day-to-day responsibilities and qualifications were not included in the provided description.

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.

Drive growth within MongoDB’s existing enterprise customer base by prospecting CTOs, engineering and IT leaders, landing new workloads, managing the full sales cycle, and achieving revenue targets. The role includes territory planning, stakeholder relationship development, pipeline management in Salesforce and Clari, and collaboration with cloud providers, GSIs, and sales partners.

Leads and executes brand design across campaigns, events, and digital, print, motion, and environmental applications. Owns design delivery from concept through completion, develops scalable visual systems, maintains brand libraries, and creates enablement resources and documentation. Collaborates with internal teams, agencies, contractors, and specialty designers to ensure consistent brand execution. Communicates design rationale, provides feedback, and supports strategic cross-functional initiatives.

Design scalable applications, systems, and infrastructure leveraging MongoDB; advise customers on architecture and optimization; lead technical discovery, demonstrations, proofs of value, presentations, sizing, and documentation; partner with sales teams on account strategy and pipeline generation; develop customer relationships, generate demand through events, mentor colleagues, and relay product feedback.

Lead strategic enterprise customers as a technical Customer Success Manager, owning customer health, revenue realization, technical guidance, escalation management, account plans, executive reviews, and cross-functional collaboration to drive adoption and growth of MongoDB Atlas.

Lead and develop a regional team of MongoDB Support Engineers in a 24x7 follow-the-sun model. Build AI-native support capabilities, manage customer escalations, improve troubleshooting processes and tooling, collaborate with sales and engineering, recruit and coach employees, and drive customer satisfaction, operational efficiency, knowledge sharing, and technical excellence across the region.

Manage a large portfolio of MongoDB customers through scalable onboarding, adoption, retention, revenue realization, and advocacy strategies. Use product telemetry, health signals, campaigns, webinars, and data-driven insights to guide customer outcomes. Forecast retention and revenue, maintain account data, identify expansion opportunities, and collaborate with Sales, Product, Services, Support, and Training teams. Help shape scalable customer success programs and provide technical and business guidance.

Own recurring business reporting, conduct operational and financial analyses, identify trends and anomalies, build Tableau dashboards, and translate complex data into actionable recommendations for technical and executive audiences. Partner with Analytics, Data Engineering, Data Architecture, Finance, and Technical Services stakeholders to improve data quality, support forecasting and capacity planning, and enable self-service performance measurement.