Top Tech Jobs & Startup Jobs in San Antonio, TX

The Full Stack Engineer will focus on building applications and utilities to enhance operational efficiency and feature adoption for customers. Responsibilities include developing tools using Salesforce Metadata API and Java, automating service tasks, collaborating with product teams, and providing technical expertise. The role requires a proactive approach to identify inefficiencies and tailor solutions for improved service delivery.

The Alchemy Analyst will contribute to blockchain initiatives through research, product, and marketing tasks. Responsibilities include content distribution, user research, and educating developers on web3 topics.

As a Senior Data Scientist at Monte Carlo, you will lead the development of production-grade ML algorithms, manage ML projects from concept to deployment, and solve complex problems related to anomaly detection and prediction in a fast-paced startup environment.

The Delivery Manager oversees the management of a team for client projects, translating business requirements into application features, facilitating internal teams, and ensuring project success. They engage with customers to build relationships and advise on future roadmaps while tracking project metrics and managing risks proactively.

As a Senior Revenue Operations Analyst, you will oversee sales process planning and optimization, ensuring data accuracy in Salesforce and improving revenue operations. Key responsibilities include opportunity management, data analysis, and reporting, collaborating with sales and IT teams to enhance processes and outcomes.

The Unemployment Claims Appeals Specialist will assist in resolving vendor inquiries, prepare cases for unemployment hearings, collect and remit customer data to state agencies, and support the Customer Success team with inquiries. Responsibilities also include identifying trends related to unemployment claims and building internal resources.

As a Senior Machine Learning Engineer, you will design data pipelines, develop machine learning models, and collaborate with various teams to integrate ML capabilities into products. You will also train others, conduct experiments to validate outcomes, and serve as a thought leader in data-driven innovations.