
Job Overview
Location
Remote
Job Type
Full-time
Category
Customer Success Manager
Date Posted
February 26, 2026
Full Job Description
đź“‹ Description
- • **Drive Operational Excellence in Customer Success at Anaconda:** Anaconda is at the forefront of advancing AI with open-source solutions, empowering organizations and individuals to build, secure, and deploy AI with confidence. With a vast user base and adoption across 95% of the Fortune 500, our AI Platform is the industry standard for Python, data science, and AI. We are seeking a highly motivated GTM Operations Analyst (Customer Success) to become the operational backbone of our Customer Success organization. This role is pivotal in scaling our operations, directly influencing customer value realization, forecasting accuracy for renewals and expansions, and overall team efficiency. You will be instrumental in optimizing data flow across our technology stack, strengthening critical workflows, and providing leadership with the insights needed for informed decision-making.
- • **Shape and Refine CS Operational Strategy:** You will play a key role in the continuous development and refinement of our Customer Success operational strategy. Your focus will be on designing and implementing scalable workflows that accelerate customer time-to-value and enhance overall customer outcomes. This includes mapping, optimizing, and automating key customer lifecycle workflows, with a particular emphasis on leveraging AI-driven improvements to enhance efficiency and effectiveness. You will be responsible for designing and implementing automated processes for critical stages such as customer onboarding, proactive renewal engagement, and robust churn prevention strategies. A significant part of your role will involve identifying operational bottlenecks across the customer journey and implementing targeted solutions that streamline inter-departmental handoffs, increase operational predictability, and ensure seamless, accurate data flow between all relevant systems.
- • **Master and Automate the CS Tech Stack:** You will be the primary owner and optimizer of our Customer Success technology stack, which includes essential tools like Salesforce, Vitally, and various analytics platforms. Your responsibilities will extend to ensuring impeccable data hygiene, promoting consistent system usage across the team, and leveraging these tools to their full potential. This role is crucial for supporting accurate renewal forecasting, developing sophisticated churn and retention models, meticulously tracking expansion opportunities, and conducting comprehensive customer health analyses. You will achieve this through the creation of clear, reliable, and actionable reporting. Furthermore, you will establish and maintain essential operating rhythms, including Quarterly Business Reviews (QBRs), monthly performance reviews, and dynamic team dashboards, providing leadership with a clear, consolidated view of key trends, potential risks, and emerging opportunities. You will conduct in-depth analyses of renewal pipeline health, identify patterns in slippage, and monitor coverage metrics to inform strategic decisions within the Customer Success organization. This includes supporting the critical quarterly territory planning and account reassignment processes across all Customer Success segments. You will also develop and maintain sophisticated program-based engagement automation, encompassing automated email sequences, proactive task creation for CSMs, and timely notifications to ensure proactive customer engagement.
- • **Deliver Actionable Data Insights and Program Support:** You will be responsible for supporting renewal forecasting, churn retention modeling, expansion tracking, and customer health analysis by delivering clear, reliable, and insightful reporting. This involves building and maintaining comprehensive dashboards and reports that meticulously track key performance indicators (KPIs) such as Net Revenue Retention (NRR), Gross Revenue Retention (GRR), churn rates, expansion revenue, and overall customer health scores. A core aspect of your role will be translating complex data sets into easily understandable, actionable insights and presenting them in executive-ready formats. You will collaborate closely with our Business Intelligence team to validate data models, ensure data integrity, and continuously improve our customer success analytics capabilities. Additionally, you will provide essential program management support for critical initiatives, including Net Promoter Score (NPS) programs, tech stack governance, and broader customer experience improvement efforts, ensuring these initiatives are data-driven and aligned with strategic objectives.
- • **Contribute to a High-Performance, Collaborative Culture:** This role offers a unique opportunity to work in a high-performance environment where your results are not only recognized but also rewarded. You will be directly contributing to shaping the future of data science, machine learning, and AI within enterprise organizations. You will collaborate with a dynamic and supportive team that deeply values diverse perspectives, thoughtful discussions, clarity, and candor. Anaconda fosters a culture that prioritizes its employees, offering flexible working hours, a fully remote work setup, and a genuine commitment to your personal and professional growth and well-being. Your operational expertise will be fundamental to our continued success and ability to deliver exceptional value to our customers in the rapidly evolving AI landscape.
Skills & Technologies
About Anaconda, Inc.
Anaconda is a leading data science and machine learning platform company. It provides a distribution of Python and R for scientific computing and data science, simplifying package management and deployment. Anaconda's platform enables individuals and organizations to develop, train, and deploy machine learning models at scale. Their offerings include cloud-based services and on-premises solutions, catering to a wide range of industries such as finance, healthcare, and technology. The company focuses on accelerating the adoption of data science and AI by making these powerful tools more accessible and manageable for a broader audience.
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