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Commercial Customer Success Manager

Sigma Computing · San Francisco, United States

Imported listingfull-time2 months ago

About The Role

Join Sigma Computing as a Commercial Customer Success Manager. In this critical role, you will focus on strategic account management, analytics expertise, NDR growth, customer advocacy, success plans, and educational initiatives. You will build strong relationships with decision-makers, guide customers in optimizing their use of our platform, and develop strategies to maximize NDR. You will also serve as the bridge between customers and our product team, collaborate with customers to develop success plans, and design and deliver training sessions. Enjoy competitive pay, a flexible schedule, comprehensive health coverage, unlimited time off, and more.

  • Establish and maintain strong relationships with decision-makers and influencers within high-value accounts to ensure customer satisfaction and retention.
  • Leverage expertise in analytics and business intelligence to guide customers in optimizing their use of the platform, helping them understand their data and gain actionable insights.
  • Develop and implement strategies aimed at maximizing Net Dollar Retention (NDR), including identifying opportunities for upselling and cross-selling, and reducing churn through proactive engagement.
  • Startup experience
  • 4+ years of experience in a customer success, account management, or consultative role within the SaaS, analytics, or business intelligence industry
  • Experience implementing production business intelligence solutions
  • Strong analytical skills with a proven ability to solve complex problems using data
  • Bachelor’s or Master’s degree in Business, Analytics, Computer Science, or a related field
  • Excellent communication and interpersonal skills, with a knack for building trust and driving engagement
  • Demonstrated ability to manage and grow customer accounts, specifically focusing on net dollar retention
  • Experience with SQL, data visualization tools, and cloud-based analytics platforms highly preferred (Snowflake, Databricks, Redshift, BigQuery)
  • ETL experience

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