Senior
Strategy (Nasdaq: MSTR) is at the forefront of transforming organizations into intelligent enterprises through data-driven innovation. We don't just follow trends—we set them and drive change. As a market leader in enterprise analytics and AI software, we've pioneered the BI and analytics space, empowering people to make better decisions and revolutionizing how businesses operate. We are now also at the forefront of AI disruption, providing data via our enterprise semantic layer to AI agents, tools, and platforms.
But that's not all. Strategy is also leading a groundbreaking shift in digital assets, adopting bitcoin as our primary treasury reserve asset in 2020. Since then, we have issued innovative bitcoin-backed securities and have been the leader in bitcoin treasury companies. This visionary move has helped us build a fortress balance sheet, and is solidifying our position as a forward-thinking, innovative force in the market.
Our people are the core of our success. At Strategy, you'll join a team of smart, creative minds working on dynamic projects with cutting-edge technologies. We thrive on curiosity, innovation, and a relentless pursuit of excellence.
Our corporate values—bold, agile, engaged, impactful, and united—are the foundation of our culture. As we lead the charge into the new era of AI and financial innovation, we foster an environment where every employee's contributions are recognized and valued.
Join us and be part of an organization that lives and breathes innovation every day. At Strategy, you're not just another employee, you're a crucial part of a mission to push the boundaries of analytics and redefine financial investment.
Role Overview
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. You will own the full post sales lifecycle of a customer account portfolio, ensuring customers do not simply "use" the platform but deeply integrate Strategy's cloud-native architecture, Semantic Layer (Mosaic), and AI-powered analytics capabilities into their core technology stack.
Your goal is to drive measurable business value and Net Revenue Retention (NRR) by ensuring the platform is technically optimized, strategically adopted, and commercially positioned to expand.
Key Responsibilities
Technical Strategy & Customer Success
Technical Enablement & Adoption
Product Advocacy & Engineering Collaboration
Commercial Collaboration & Customer Advocacy
Qualifications
Core Technical Requirements
Bachelor’s degree in business administration, Computer Science, Engineering, Data Science, or a related discipline (or equivalent practical experience).
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.
Strong understanding of data modeling, ETL/ELT processes, semantic layers, and the lifecycle of Machine Learning models (MLOps and AI deployment).
Familiarity with enterprise analytics, Business Intelligence tools, or AI-driven data platforms is highly desirable.
Experience & Professional Skills
7+ years of experience in a customer-facing Customer Success role — such as Customer Success Manager, Technical Account Manager, Solutions Architect, Sales Engineer, or Technical Consulting — within a SaaS or enterprise software environment.
Demonstrated experience managing strategic or enterprise customer accounts across complex, multi-stakeholder organizations.
Ability to analyze usage data and platform telemetry to identify patterns, surface insights, and deliver data-driven recommendations for expansion and optimization.
Exceptional ability to explain complex technical concepts (e.g., universal semantic layers, data fabric, cloud-native architecture) clearly to non-technical executive stakeholders.
Strong project management and collaboration skills, with experience working across Sales, Product, Engineering, and Support functions.
Familiarity with Agile development cycles and DevOps practices to support customer engineering teams effectively.
Experience with CRM and customer success tools such as Salesforce, Gainsight, or equivalent platforms.
English fluency (written and spoken) is required.
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