Hypersonix Inc.

Account Executive

• Prospect and build a healthy pipeline through outbound outreach, targeted campaigns, and inbound lead qualification across an assigned territory of DTC, omnichannel retail, and ecommerce accounts.
• Own the full sales cycle — discovery, demo, business case, negotiation, and close — with accountability for a quarterly and annual quota.
• Run and manage deals with buyers across Merchandising, Digital Commerce, and Pricing functions, including Director- and VP-level stakeholders.
• Ramp quickly on Hypersonix's existing sales playbook, messaging, and territory plans, and work with the Sales Director to prioritize the highest-value prospects within your book.
• Build a strong understanding of Hypersonix's AI-powered pricing and analytics platform to sell technical and business value confidently.
• Collaborate with fellow Account Executives to share best practices, pressure-test deal strategy, and contribute improvements to the existing sales process.
• Partner with Marketing on outbound campaigns, ABM programs, and event follow-up to keep pipeline full and moving.
• Coordinate with Product and Customer Success to relay prospect feedback and ensure a smooth handoff from close to onboarding.
• Represent Hypersonix at US industry events such as NRF, Shoptalk, and Groceryshop, generating and following up on pipeline.
• Maintain accurate, up-to-date opportunity records in Salesforce (or equivalent CRM) and contribute to weekly pipeline reviews.

Sales Account Executive

Full-stack Engineer

• Design, develop, and operate scalable backend services and microservices using modern Python (3.11+).
• Build high-performance, well-documented RESTful and/or async APIs (FastAPI / Flask), with attention to latency, throughput, and reliability.
• Write clean, typed, reusable, and testable code, backed by automated tests (pytest) and meaningful coverage.
• Design systems for high availability, horizontal scalability, and low latency; reason about failure modes, backpressure, and graceful degradation.
• Integrate and serve AI/ML capabilities — model/LLM API integration, retrieval pipelines (RAG), vector search, and inference endpoints — in collaboration with Data Science.
• Integrate relational, NoSQL, caching, and vector databases, plus cloud data warehouses (Snowflake) and cloud-based storage.
• Instrument services for observability (structured logging, metrics, tracing) and own production troubleshooting and performance optimization.
• Implement security best practices: authentication, authorization, secrets management, and data protection.
• Participate in architecture discussions, design reviews, and code reviews; help define and uphold engineering standards.
• Mentor junior engineers and contribute to a strong engineering culture.
• Work with DevOps / Platform teams on CI/CD pipelines, infrastructure-as-code, and deployment automation.

Senior Software Engineer

Senior Software Engineer, India

Data Scientist

• Lead the design, development, and deployment of scalable machine learning solutions focused on pricing optimization, demand forecasting, and promotion planning.
• Build and improve statistical and machine learning models for:
• - Demand forecasting
• - Price elasticity modeling
• - Promotion optimization
• - Inventory and revenue forecasting
• Design, build and deploy robust ML pipelines in Databricks, build model monitoring systems, and production-ready APIs.
• Ability to design and evaluate transformer-based time series forecasting models for large-scale retail sales forecasting and demand planning.
• Drive experimentation, model evaluation, and continuous improvement of forecasting and pricing models.
• Analyze large-scale structured and unstructured retail datasets to uncover trends, customer behavior patterns, and pricing insights.
• Develop data-driven strategies that help maximize revenue, profitability, and pricing efficiency across products and categories.
• Apply advanced statistical techniques and machine learning algorithms to solve complex retail business problems.
• Collaborate closely with Product, Engineering, Data Engineering, and Business teams to translate business requirements into scalable ML solutions.
• Mentor junior data scientists and provide technical guidance across cross-functional teams.
• Communicate analytical findings and business recommendations clearly to both technical and non-technical stakeholders.

Data Scientist, ML

• Support the development of data-driven features for pricing and promotion strategies to improve revenue and profitability.
• Build, test, and maintain analytical models for demand forecasting, price sensitivity, and promotion performance with guidance from senior team members.
• Apply data science, data analysis, machine learning, and statistical techniques to help solve retail business problems such as forecasting accuracy and promotion effectiveness.
• Analyze structured and unstructured retail data to identify trends, understand customer behavior, and generate actionable insights.
• Collaborate with cross-functional teams to implement and scale data solutions, and communicate findings through clear analysis and visualizations.

Junior Data Scientist

Technical Customer Success

• Own post-sale customer relationship and act as the primary technical point of contact.
• Drive product adoption and usage through effective onboarding, training, and ongoing support.
• Work closely with clients to understand business goals and align them with product capabilities.
• Collaborate with internal product, engineering, and data teams to deliver solutions and enhancements tailored to client needs.
• Analyze customer data and usage trends to proactively identify opportunities and risks.
• Build dashboards or reports for customers using internal tools or integrations.
• Lead business reviews, share insights, and communicate value delivered.
• Support customers in configuring rules, data integrations, and troubleshooting issues.
• Drive renewal and expansion by ensuring customer satisfaction and delivering measurable outcomes.

Senior Technical Customer Success Manager, CSM

Business Development Rep

• Proactively identify, prospect, and qualify new business opportunities to drive sales growth.
• Represent Hypersonix’s products and services, leveraging in-depth knowledge and market insights to demonstrate how our solutions address customer needs.
• Refine and optimize the company’s lead-generation strategies by identifying best practices.
• Implement annual sales and client account plans to meet revenue and relationship goals, as guided by the VP of Sales.
• Build and maintain strong, positive relationships with key customers to drive new and ongoing business opportunities.
• Stay informed on market trends, competitor activities, and customer challenges, providing strategic recommendations based on industry insights.
• Accurately manage customer records, sales forecasts, expense plans, budgets, and other relevant data.
• Develop and review sales proposals, ROI analyses, professional service estimates, and invoices.
• Collaborate closely with cross-functional teams, including Development and Finance, to ensure both customer and company objectives are met.
• Effectively utilize a sales development platform to execute outreach through calls, emails, and social engagement.

Sales Account Executive

Sales Account Executive

Senior Software Engineer

Senior Software Engineer, India

Data Scientist, ML

Junior Data Scientist

Senior Technical Customer Success Manager, CSM

Business Development Representative – BDR