Sigmacomputing
Commercial Customer Success Manager - NY
New York City, NY. Posted 20 days ago
The role
The Customer Success Manager will ensure customers maximize value from the platform and focus on improving Net Dollar Retention. This involves strategic account management, driving growth initiatives, and acting as a bridge between customers and the product team.
What you will do
- Build and maintain relationships with decision-makers and influencers.
- Guide customers in optimizing use of the platform using analytics and business intelligence.
- Develop and implement strategies to maximize NDR.
- Identify opportunities for upselling and cross-selling.
- Reduce churn through proactive engagement and support.
- Advocate for features, enhancements, and integrations to the product team.
- Collaborate with customers to develop and execute success plans.
- Design and deliver training sessions, webinars, and workshops.
Required qualifications
- Bachelor’s or Master’s degree in Business, Analytics, Computer Science, or a related field.
- 4+ 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.
- Demonstrated ability to manage and grow customer accounts, specifically focusing on net dollar retention.
- ETL experience
- Experience implementing production business intelligence solutions
Nice to have
- Experience with SQL, data visualization tools, and cloud-based analytics platforms (Snowflake, Databricks, Redshift, BigQuery)
- Startup experience
Benefits
- Equity
- Generous health benefits
- Flexible time off policy
- Paid bonding time for all new parents
- Traditional and Roth 401k
- Commuter and FSA benefits
- Lunch Program
- Dog friendly office
About the company
Sigma is an AI Apps and agentic analytics platform built on the cloud data warehouse. The company supports a spreadsheet interface, SQL, Python, and native AI in a single governed workspace.