Hiring: Enterprise Customer Success Manager - NY Company: Sigma Location: New York, NY Job Posted Time: 2026-09-16 11:07:26 Employment Type: Full-time Target Skills & Keywords : BigQuery, Data Warehouse, Databricks, ETL, Python, Redshift, SQL, SaaS, ServiceNow, Snowflake, Spark, Workday About the job Experience: •7+ years of experience in a customer success, account management, or consultative role within the SaaS, analytics, or business intelligence industry. •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. Required Skills: •Strategic Account Management: Build and maintain strong relationships with decision-makers and influencers within our customer base, with a focus on high-value accounts. •Analytics Expertise: Leverage your deep understanding of analytics and business intelligence to guide customers in optimizing their use of Sigma Computing's platform. Help them understand their data and gain actionable insights. •NDR Growth: 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. •Customer Advocacy: Serve as the bridge between our customers and our product team. Advocate for features, enhancements, and integrations that will drive customer satisfaction and retention. •Success Plans: Collaborate with customers to develop and execute success plans that align Sigma Computing's capabilities with the customer's business goals and objectives. Qualifications: •Bachelor’s or Master’s degree in Business, Analytics, Computer Science, or a related field. Compensation: •The base salary range for this position is $132k - $165k annually. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!