RapidAI

HQ
San Mateo
Total Offices: 2
225 Total Employees
Year Founded: 2012

RapidAI 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 performance bonuses

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

Offers legal assistance

Provides free snacks and drinks

Utilizes a flexible work schedule

Offers a remote work program

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers an Employee Assistance Program (EAP)

Offers generous PTO

Provides paid sick days

Provides military leave

Provides paid holidays

Provides bereavement leave

Career Growth + Development

Provides customized development tracks

Job training & conferences

Recently posted jobs

7 Hours AgoSaved
Remote
United States
Artificial Intelligence
Territory-focused Account Executive responsible for prospecting, developing, and closing new business across assigned accounts (Denver or Phoenix). Build pipeline, cultivate business plans and advocates, achieve regional sales goals, present to C-level stakeholders, and use Salesforce.com to manage opportunities. Travel regularly and collaborate with sales leadership to target market opportunities and meet quarterly and annual revenue objectives.
YesterdaySaved
Hybrid
Bangalore, Bengaluru Urban, Karnataka, IND
Artificial Intelligence
Design, develop, and optimize ETL pipelines and repositories for large-scale medical imaging (CT, MRI). Integrate with PACS/XNAT, extract and standardize DICOM/HL7/FHIR metadata, implement automated labeling/segmentation, and optimize AWS storage and retrieval for high-performance clinical applications.
6 Days AgoSaved
In-Office
Bangalore, Bengaluru Urban, Karnataka, IND
Artificial Intelligence
Design, implement, test, deploy, and monitor highly scalable, high-throughput backend systems for clinical AI. Influence architecture and technology choices, collaborate with cross-functional teams (including clinical and regulatory), and take end-to-end ownership of solutions.