Sigma Computing

HQ
San Francisco
Total Offices: 2
329 Total Employees
Year Founded: 2014

Sigma Computing Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers company equity

Offers dental insurance

Offers health insurance

Offers Flexible Spending Account (FSA)

Offers vision insurance

Provides family medical leave

Offers generous parental leave

Company Culture

Provides commuter benefits

Provides free snacks and drinks

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers generous PTO

Provides paid sick days

Provides paid holidays

Career Growth + Development

Provides customized development tracks

12 Days AgoSaved
In-Office
New York, NY, USA
Cloud • Information Technology • Analytics
Manage a high-volume portfolio of mid-market SaaS customers using scalable engagement, onboarding, training, automation, and digital communications. Monitor health and usage data to identify churn risks, expansion opportunities, and adoption trends. Lead targeted customer meetings, promote AI and analytics use cases, coordinate with Sales, Support, and Product, and develop reusable customer success playbooks and resources.
14 Days AgoSaved
In-Office
2 Locations
Cloud • Information Technology • Analytics
Build and maintain scalable security platforms, automation, APIs, detections, and internal tooling for a cloud-native SaaS environment. Secure AI applications, LLM services, identities, SaaS platforms, cloud infrastructure, and APIs. Develop controls against prompt injection, data leakage, model misuse, and excessive permissions while supporting vulnerability management, incident response, threat modeling, and security operations.
17 Days AgoSaved
In-Office
New York, NY, USA
Cloud • Information Technology • Analytics
Manage strategic customer accounts for Sigma Computing, helping users maximize analytics platform value and improving net dollar retention. Responsibilities include developing success plans, identifying upsell and cross-sell opportunities, reducing churn, advocating for customer needs, delivering training, and guiding customers on analytics and business intelligence solutions. The role requires strong communication, analytical problem-solving, SaaS customer success experience, and familiarity with SQL, ETL, data visualization, and cloud analytics platforms.