Top Tech Jobs & Startup Jobs

Support the deployment and ongoing support of cloud-based voice and collaboration solutions. Hands-on role focused on UCaaS, VoIP, and conference room technology.

The Sales Assistant provides administrative support to the sales team, assists with prospecting, conducts research, and engages with customers. Travel in the field may be required.

Senior IC responsible for building AI-powered sales agents, account research/scoring, and scaling backend/data pipelines. Own significant product areas, ship end-to-end features, work closely with customers, and iterate rapidly to improve the product.

Assist and support the Sales Team to meet revenue goals by coordinating sales correspondence, contracts, and production activities, while providing excellent customer service and maintaining relationships with clients.

Develop and execute internal communications strategies and content (intranet, newsletters, town halls, collaboration platforms) to inform and engage employees. Partner with leadership and HR to craft messaging, support change management, measure communication effectiveness, and ensure alignment with organizational tone, values, and brand standards.

The Data Scientist will conduct data research, develop analytics models, ensure data quality, and communicate actionable insights to stakeholders. Responsibilities include statistical analysis, data mining, and collaboration with business experts to enhance decision-making.

The role involves architecting large-scale web applications using JEE, managing eCommerce checkout flows, and utilizing various technologies such as Java, ATG, and cloud services. Requires strong problem-solving skills and the ability to communicate with clients effectively.

The role involves designing, implementing, and supporting Microsoft Exchange and Office 365 solutions, focusing on Unified Messaging and conferencing systems, along with Tier III support responsibilities.

The Cryptanalytic Computer Scientist 3 is responsible for designing, developing, and evaluating mathematical models and methods to solve complex problems in computer science, requiring significant relevant experience and educational qualifications.

Design and apply advanced analytic methods to large, structured and unstructured datasets; build ML and NLP solutions, deploy data science tooling in HPC/cloud environments, and deliver insights to customers while working on-site at Tech Port San Antonio.

The Data Scientist Level 3 will analyze large datasets, develop strategies for data extraction, and communicate findings. Required experience includes machine learning and programming.

The Marketing Systems Architect will enhance Asure's marketing technology and operations, ensuring data flow and supporting revenue generation through effective lead management and campaign performance.

The Inside Sales Specialist will contribute to growth by achieving sales targets, conducting product demos, and managing a sales pipeline.

The Inside Sales Specialist will contribute to HIRECLICK's growth, sell software solutions, negotiate deals, and maintain sales pipelines.

The Senior Software Engineer will develop and innovate embedded software for appliance controls, collaborating with teams, and ensuring quality delivery.

The Design Engineer II focuses on new product development for Cove dishwashers, involving design, analysis, and transition to production, with responsibilities including 3D modeling, cost analysis, and testing.

Support the operation of end-user computing platforms, perform device management and troubleshooting, and partner with IT teams. Provide advanced endpoint support.

The Outside Salesperson is responsible for acquiring new members by targeting Fortune 500 companies, utilizing strategic sales plans, building relationships, and negotiating large sales agreements, all while reporting performance metrics to leadership.

Design, build, and maintain distributed backend microservices, APIs, and cloud-native platforms to support enterprise AI operations. Collaborate with multidisciplinary teams to deploy scalable analytics and AI solutions, applying techniques like predictive analytics, graph analytics, explainable AI, and operational analytics while integrating DevSecOps and observability.

Develop and operationalize AI and agentic AI systems for mission environments. Collaborate with multidisciplinary teams to build production-ready models, integrate MLOps/LLMOps, deploy Kubernetes-based AI, optimize GPU inference, and support explainable, graph, and operational analytics.

Design and implement distributed backend microservices, APIs, and cloud-native platforms to support enterprise AI operations. Collaborate with multidisciplinary teams to build, deploy, and maintain analytics and AI/ML solutions using event-driven architectures and Kubernetes-native practices. Integrate DevSecOps, data engineering, observability, and cybersecurity for mission-focused outcomes.