Sigma Computing is a leader in cloud-based analytics and business intelligence, focused on transforming data usage for informed decision-making. They are seeking a Customer Success Manager who will ensure customers maximize the value of their platform, focusing on strategic account management and enhancing Net Dollar Retention (NDR).
Responsibilities:
- Build and maintain strong relationships with decision-makers and influencers within our customer base, with a focus on high-value accounts
- Leverage your deep understanding of analytics and business intelligence to guide customers in optimizing their use of Sigma Computing's platform
- Develop and implement strategies aimed at maximizing NDR
- This includes identifying opportunities for upselling and cross-selling, as well as reducing churn through proactive engagement and solution-oriented support
- Serve as the bridge between our customers and our product team
- Advocate for features, enhancements, and integrations that will drive customer satisfaction and retention
- Collaborate with customers to develop and execute success plans that align Sigma Computing's capabilities with the customer's business goals and objectives
- Design and deliver training sessions, webinars, and workshops to increase product knowledge, adoption, and engagement among our user base
Requirements:
- Bachelor's or Master's degree in Business, Analytics, Computer Science, or a related field
- 7+ years of experience in a customer success, account management, or consultative role within the SaaS, analytics, or business intelligence industry
- Experience navigating complex enterprise sales environments with multiple priorities and stakeholders
- Strong analytical skills with a proven ability to solve complex problems using data
- 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
- Experience implementing production business intelligence solutions
- Startup experience