Revenue Operations Manager at Sigma Computing

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Software as a Service (SaaS), Business Intelligence, Cloud Computing, Enterprise SoftwareIndustries

Requirements

Candidates should possess a minimum of 5 years of progressive experience in Sales or Revenue Operations, with a strong preference for experience in Software-as-a-Service, BI/Analytics, or Cloud Computing industries. A deep understanding of sales and marketing funnels, proficiency in Salesforce.com, and excellent written and verbal communication skills are essential. The ideal candidate will have a strong desire to leverage data for complex problem-solving in a fast-paced environment, a highly collaborative style with strong influence skills, attention to detail, and a strong sense of urgency.

Responsibilities

The Revenue Operations Manager will act as a strategic advisor and operational partner to leadership teams, proactively identifying opportunities for sales process improvement and working with management to address bottlenecks. Responsibilities include maintaining and enhancing analytics and reporting frameworks to track key sales metrics, developing dashboards for pipeline performance visibility, and providing actionable insights to sales leaders. The role involves regular check-ins with sales leaders and field representatives to identify productivity improvement opportunities and lead performance initiatives, communicating regularly with senior leadership on sales operations metrics and strategic recommendations, and coordinating with revenue operations teammates on systems and process improvements for the sales organization.

Skills

Revenue Operations

Sales Analytics

Dashboards

KPI tracking

Sales funnel management

Pipeline management

Data-driven decision making

Cross-functional collaboration

Data storytelling

GTM strategy

stakeholder communication

Sigma Computing

Cloud-based data analytics platform for businesses

About Sigma Computing

Sigma Computing offers a cloud-based data analytics platform that enables businesses to analyze large volumes of data through a user-friendly, spreadsheet-like interface. Users can connect to their cloud data warehouse and access advanced features such as data collection, territory management, and revenue planning without needing coding skills. The platform is scalable, allowing for the analysis of billions of rows of data, and promotes self-service capabilities for faster insights. Recently, Sigma introduced AI features like data classification and natural language processing to enhance data analysis and support Enterprise AI initiatives.

San Francisco, CaliforniaHeadquarters

2014Year Founded

$550.9MTotal Funding

SERIES_DCompany Stage

Data & Analytics, AI & Machine LearningIndustries

501-1,000Employees

Benefits

Competitive pay - Looking for a great salary and solid stock options? You’ve come to the right place.

Flexible schedule - Do the work you need to get done in the time you have to get it done

Amazing benefits - Medical, dental, vision, 401k, FSA, commuter… we’ve got you covered. Literally.

Flexible vacation - At Sigma, we work to live, not live to work. So go on, book that dream vacation.

Health & wellness - A healthy body supports a healthy mind, so we partner with Crunch Fitness and CorePower.

Family-friendly - From flexible scheduling to parental leave to kids’ birthdays off, we support Sigma families.

Risks

Competition from Tableau and Power BI could threaten Sigma's market share.

Reliance on platforms like Snowflake may impact service delivery if disruptions occur.

High valuation pressures Sigma to deliver rapid growth, risking strategic misalignment.

Differentiation

Sigma offers a spreadsheet-like interface for non-technical users to analyze data.

The platform integrates with major data warehouses like Snowflake and BigQuery.

Sigma's AI features include natural language processing and sentiment analysis.

Upsides

Sigma raised $200M in Series D funding, valuing it at $1.5 billion.

The platform's scalability allows analysis of billions of data rows efficiently.

Sigma's partnerships enhance data accessibility and integration for users.

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