NYC Onsite Strategic CSM: Analytics & Growth

Sigma Computing; New York (NY); On-site; USD 110,000 - 135,000; Full time

Benefits offered by this job

Equity

Flexible time off

Bonding time for new parents

Traditional 401k

Commuter benefits

Lunch program

Dog-friendly office

Job summary

Sigma Computing is seeking a Commercial Customer Success Manager for our New York office. The role centers on strategic account management, using analytics to optimize customer adoption and maximize net dollar retention.

You will partner with customers to drive growth, upsell opportunities, and proactive retention while collaborating with product teams for feature requests and integrations. The ideal candidate has 4+ years in SaaS/BI, strong SQL and data visualization experience, and a startup

Qualifications

• Bachelor's or Master's degree in Business, Analytics, CS or related field.
• 4+ years in a customer success, account management, or consultative SaaS/BI role.
• Strong analytical skills with data-driven problem solving.
• Excellent communication and interpersonal skills with trust building.

Responsibilities

• Strategic Account Management with high-value customers.
• Leverage analytics to optimize customer use of Sigma Computing platform.
• Develop strategies to maximize NDR and reduce churn.
• Advocate for features and integrations with product teams.

Skills

Strategic account management

Analytics

Communication

Net dollar retention

SQL

ETL

Startup experience

Cross-functional collaboration

Education

Bachelor's or Master’s degree in Business/Analytics/CS

Tools

Snowflake

Databricks

Redshift

BigQuery

Job description

Sigma Computing is seeking a Commercial Customer Success Manager for our New York office. The role centers on strategic account management, using analytics to optimize customer adoption and maximize net dollar retention.

You will partner with customers to drive growth, upsell opportunities, and proactive retention while collaborating with product teams for feature requests and integrations. The ideal candidate has 4+ years in SaaS/BI, strong SQL and data visualization experience, and a startup