Jobs at Hypersonix Inc.

Generate new customers through proactive prospecting, qualifying leads, arranging product demos, and coordinating with product and finance teams. Manage CRM records, forecasts, proposals, and ROI analyses while refining lead-generation strategies and building relationships across retail, eCommerce, restaurant, and hospitality sectors to meet revenue targets.

Hands-on finance role supporting day-to-day accounting, AP/AR, billing, collections, reconciliations, month-end close, financial reporting, SaaS revenue accounting (deferred revenue, accruals), audit coordination, and process improvements while partnering with the Finance Director and cross-functional teams.

Design, build, and operate scalable Python backend services and APIs for an AI-driven platform. Integrate ML/LLM inference, vector search, and databases; ensure observability, security, CI/CD, and production performance. Mentor engineers and collaborate with Product, Data Science, and Frontend teams.

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.

Senior individual-contributor Sales Director to build and scale US revenue for a retail/DTC SaaS offering. Own full sales motion from prospecting to close, manage complex enterprise deals with VP/C-suite buyers, develop forecasts and territory plans, partner with Marketing/Product/Customer Success, and represent the company at industry events. Focus on AI/ML pricing and analytics use cases for retail, DTC, and CPG customers.

Lead design, development, and deployment of scalable ML solutions for retail pricing, demand forecasting, and promotion planning. Build and productionize forecasting, price elasticity, and optimization models, create ML pipelines in Databricks, deploy APIs, monitor models, analyze large retail datasets, and collaborate with cross-functional teams while mentoring junior data scientists.