Free online personal finance investment software

Consulting

SigFig

SigFig's headquarters in San Francisco, CA, United States

Mike Sha

Roger Fong

Steven Mattus

Blair M.

Benazir Qureshi

Samir Salvi

Terry Banet

This department focuses on designing, developing, and testing software applications and systems.

Software Development

The Engineering and Technology team at SigFig is responsible for designing, developing, and maintaining the company's innovative online personal finance investment platform. This multidisciplinary team, composed of software developers, engineers, and data scientists, collaborates to create robust, scalable technologies that enhance user experience and optimize investment management. By leveraging cutting-edge methodologies and best practices, the team ensures that SigFig's digital solutions remain secure, efficient, and aligned with the evolving financial landscape.

Engineering and Technology

The Leadership Team at SigFig drives the strategic direction and operational efficiency of the company. Comprised of key executives, including the CEO, CFO, and CTO, this team oversees technology development, financial management, and investment strategies, ensuring that the company's personal finance investment software remains innovative and secure while meeting users' needs and compliance standards.

Leadership Team

This department is responsible for overseeing the development and lifecycle of products, ensuring alignment with market needs and business goals.

Product Management

This department ensures the quality and reliability of products through testing and automation processes.

Quality Assurance

This department focuses on analyzing complex data sets to derive actionable insights and drive data-driven decision making.

SigFig

Org chart

Teams

Software Development

Engineering and Technology

Leadership Team

Product Management

Quality Assurance

Data Science

Offices

SigFig

Org chart

Teams

Software Development

Engineering and Technology

Leadership Team

Product Management

Quality Assurance

Data Science

Offices

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