Director of PeopleOps at Sigma Computing

San Francisco, California, United States

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

NoVisa

Human Resources, Business ServicesIndustries

Requirements

Candidates must possess a Bachelor’s degree in Human Resources, Business Administration, or a related field, with a Master’s degree or HR certification being a plus. A minimum of 15 years of experience in human resources is required, including at least 3 years in a leadership role, preferably within a high-growth startup or tech environment. Strong knowledge of HR best practices, employment laws, and regulations, along with excellent leadership, communication, and interpersonal skills, are essential. Demonstrated ability to develop and implement HR strategies that drive business results and a passion for fostering a positive company culture are also required.

Responsibilities

The Director of People Operations will lead and scale the People Operations function, developing and implementing strategies to attract, develop, and retain top talent while fostering an inclusive and high-performance culture. This role involves providing strategic direction to the executive team on people-related matters, acting as a trusted advisor on organizational structure, change management, and employee development, and leading the People team. Responsibilities include overseeing compensation and benefits, employee relations, retention, ensuring compliance with employment laws and regulations, and conducting policy audits. The Director will also improve people operations processes and systems, design talent development programs, and use data-driven insights and key performance indicators to inform strategic decisions and report on organizational trends.

Skills

Human Resources

Employee Relations

Compensation and Benefits

Talent Development

Performance Management

Succession Planning

Change Management

Organizational Structure

Data Analysis

Strategic Planning

Compliance

Leadership

Mentorship

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.

Land your dream remote job 3x faster with AI

Try Jobo Free