Hypersonix Inc.

HQ
San Jose
Total Offices: 5
81 Total Employees
Year Founded: 2019

Hypersonix Inc. Benefits Overview

Compensation + Benefits

Offers company equity

Provides home-office stipend for remote employees

Offers performance bonuses

Offers dental insurance

Offers vision insurance

Offers health insurance

Offers disability insurance

Offers life insurance

Provides family medical leave

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers wellness programs

Offers team workouts

Offers generous PTO

Provides paid holidays

Company Culture

Has a highly diverse management team

Utilizes an open door policy that encourages accessibility

Uses an OKR operational model to clearly define goals and priorities

Implements team-based strategic planning

Offers a remote work program

Career Growth + Development

Promote from within

11 Hours AgoSaved
In-Office
San Jose, CA, USA
Artificial Intelligence • eCommerce • Machine Learning • Software
Own and scale US revenue for an AI-powered retail and DTC SaaS platform. Responsibilities include developing go-to-market strategy, managing the full enterprise sales cycle, forecasting ARR, building executive relationships, creating sales processes, partnering with Marketing, Product, and Customer Success, maintaining CRM discipline, and representing the company at industry events.
6 Days AgoSaved
In-Office
San Jose, CA, USA
Artificial Intelligence • eCommerce • Machine Learning • Software
Full-cycle quota-carrying Account Executive responsible for sourcing and qualifying pipeline, running discovery-to-close sales processes, and closing new business across DTC, retail, and ecommerce accounts. Engage Director- and VP-level stakeholders, use Salesforce/HubSpot for forecasting, collaborate with marketing, product, and customer success, and represent the company at industry events.
6 Days AgoSaved
In-Office or Remote
Bangalore, Bengaluru Urban, Karnataka, IND
Artificial Intelligence • eCommerce • Machine Learning • Software
Design, build, and maintain scalable batch and real-time data pipelines, ETL/ELT workflows, data warehouses and lakes. Ensure data quality, performance, and reliability; integrate data from multiple sources; collaborate with Data Science and ML teams; implement monitoring, validation, and CI/CD; and contribute to the evolution of the data platform and architecture.