MicroStrategy
Customer Success Manager
Tysons Corner, VIRGINIA, United States
Sponsorship not specified$83k-$150kDetected 1 day ago
AWSGCPAzureDockerKubernetesDevOpsMachine LearningData EngineeringData ScienceAgentic AIMLOpsProduct ManagementProduct StrategyProject ManagementSalesforceCRMSalesAccount ManagementCustomer SuccessLeadershipCollaboration
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About the role
- As a Customer Success Manager (CSM) at Strategy, you will serve as the primary bridge between our enterprise customers and Strategy's engineering, product, and go-to-market teams.
Responsibilities
- Deep-diving into client workflows to uncover and implement high-value use cases.
- Develop and execute customer roadmaps that align with enterprise architecture, security requirements, and strategic business objectives - defining measurable KPIs and adoption milestones.
- Lead Quarterly Business Reviews (QBRs) with both business and technical stakeholders, demonstrating ROI, reviewing progress against success metrics, and aligning on future priorities.
- Lead the technical configuration and integration phase to accelerate time-to-value, partnering with implementation teams to ensure a smooth transition from deployment to operational use.
- Act as the lead technical advisor for your accounts, guiding customers through complex cloud-native architectures, Semantic Layer (Mosaic) implementations, and AI-driven analytics workflows.
- Partner with Engineering to lead strategic customers through Alpha/Beta programs for new AI, Mosaic, and platform features.
- Serve as a high-level technical point of contact for complex support escalations, coordinating between the customer's engineering team and Strategy's internal developers to drive timely resolution.
- Support the successful renewal and expansion of customer accounts by ensuring continuous technical and business value realization from the Strategy platform.
Requirements
- Bachelor's degree in business administration, Computer Science, Engineering, Data Science, or a related discipline (or equivalent practical experience) required.
- Familiarity with enterprise analytics, Business Intelligence tools, or AI-driven data platforms is highly desirable.
- Experience & Professional Skills
- Exceptional ability to explain complex technical concepts (e.g., universal semantic layers, data fabric, cloud-native architecture) clearly to non-technical executive stakeholders.
- Experience with CRM and customer success tools such as Salesforce, Gainsight, or equivalent platforms.
Nice to have
- Hands-on experience with cloud-native services (microservices, Kubernetes, Docker) and major cloud providers (AWS, Azure, or GCP).
- A professional cloud certification is strongly preferred.
Compensation
- The base salary range for this role is $ 83,100 to $ 149,500 and represents a good faith estimate of the range at the time of posting.
- Strategy maintains broad salary ranges to account for differences in skills, experience, qualifications, internal peer equity, market conditions, and business needs.
- The posted range reflects base salary only.
Benefits
- Proactively monitor account health using technical telemetry - identifying and resolving performance bottlenecks, integration inefficiencies, and adoption gaps before they impact customer satisfaction.
- Monitor customer health, engagement trends, and platform adoption data to proactively identify risks and opportunities for value expansion across the account.
- Partner with Sales and Account Management to identify upsell and cross-sell opportunities, providing account health insights and adoption data that inform commercial strategy.
Company info
- We are now also at the forefront of AI disruption, providing data via our enterprise semantic layer to AI agents, tools, and platforms.
- Our corporate values-bold, agile, engaged, impactful, and united-are the foundation of our culture.
- Join us and be part of an organization that lives and breathes innovation every day.
- Advise customers on platform enhancements, integrations, and upgrades - ensuring alignment with the Strategy product roadmap and the customer's long-term data strategy.
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