Procore Technologies

HQ
Carpinteria
Total Offices: 6
4,500 Total Employees
Year Founded: 2002

Procore Technologies Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers accidental death & dismemberment insurance

Offers disability insurance

Offers supplemental life insurance

Offers company equity

Offers employee discounts

Offers employee stock purchase plan

Offers dental insurance

Offers health insurance

Offers mental health benefits

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers Health Savings Account (HSA)

Provides family medical leave

Provides fertility benefits

Offers generous parental leave

Company Culture

Provides commuter benefits

Provides free snacks and drinks

Office is pet friendly

Provides a mobile phone discount

Utilizes a flexible work schedule

Offers a remote work program

Offers diversity-based Employee Resource Groups

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers gym membership

Offers an Employee Assistance Program (EAP)

Offers generous PTO

Provides paid holidays

Provides bereavement leave

Offers paid volunteer time

Provides paid sick days

Offers unpaid extended leave

Career Growth + Development

Provides customized development tracks

Job training & conferences

7 Days AgoSaved
In-Office or Remote
7 Locations
Cloud • Software
The Staff Software Engineer will architect and maintain Datagrid Pages and Dataset Editor, focusing on UI design, efficient code, and mentorship while collaborating with teams to support Procore's AI strategy.
Cloud • Software
As Product Manager II, you will define and execute the technical product strategy for data indexing and retrieval, optimizing processes and ensuring effective AI workflows, while collaborating with engineering and architecture teams.
10 Days AgoSaved
In-Office or Remote
7 Locations
Cloud • Software
Lead the development of data products at Procore, leveraging construction data to create predictive models and insights. Collaborate across teams to define product strategy, data quality standards, and success metrics, while utilizing AI tools effectively.