Top Product Management Jobs

Lead strategy, roadmap, and execution for MongoDB’s Developer Tools portfolio, including Compass and Data Explorer. Define connected experiences across desktop, browser, Atlas, self-managed deployments, IDEs, shell tools, data modeling, and AI-assisted workflows. Conduct customer discovery, align cross-functional teams, establish product metrics, drive adoption, communicate with executives, and mentor product managers.

Lead cross-domain product strategy and execution for MongoDB Atlas Clusters. Own enterprise platform initiatives involving resiliency, multi-cloud architecture, scalability, and infrastructure capabilities. Coordinate Engineering, SRE, Design, Security, Finance, Support, and go-to-market teams; define roadmaps, metrics, governance, pricing, and launch plans. Translate customer needs and market gaps into product priorities while aligning senior stakeholders and representing Atlas architecture to enterprise customers.

Provides division-wide product leadership for MongoDB Atlas Clusters, shaping multi-year strategy, product architecture, roadmap, monetization, and market direction. Leads strategic business cases, customer advocacy, executive alignment, investment sequencing, and cross-functional execution. Mentors senior product managers, establishes research standards, and represents MongoDB externally. Requires deep expertise in databases, distributed systems, cloud infrastructure, and substantial product leadership experience.

Own the vision, strategy, and roadmap for MongoDB’s Partner Platform, including its 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 metrics, and collaborate across engineering, security, IAM, billing, design, marketing, and partnerships. Lead platform adoption for human and AI-agent developers while representing MongoDB externally and driving ecosystem growth.

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.

Lead vision, strategy, roadmap, customer discovery, monetization, delivery, go-to-market, and post-launch health for MongoDB’s Client Libraries portfolio. Own high-impact product decisions across database drivers, SDKs, ODMs, and framework integrations. Influence cross-functional teams and senior stakeholders, manage enterprise customer relationships, identify technical and operational risks, develop business cases, support launches, and mentor junior product managers.

Own the end-to-end strategy, roadmap, delivery, and iteration of a core AI application platform area. Conduct customer discovery, define product narratives and success metrics, identify opportunities, and collaborate with engineering, design, marketing, sales, partners, and developer relations. The role requires technical depth in distributed systems, cloud services, and AI/ML tooling, plus strong written communication, customer focus, and comfort operating in an ambiguous early-stage environment.

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.

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.