Top Tech Jobs & Startup Jobs in San Antonio, TX

The Sales Development Representative generates outbound sales pipeline, manages leads using Salesforce, and shapes sales strategies through customer outreach.

The Senior Growth Engineer will build web experiences and backend systems to drive growth at Buffer, focusing on features, integrations, and experiments to enhance marketing performance.

As an AI/ML Engineer, you will design, train, and deploy machine learning models, optimize model performance, and collaborate with cross-functional teams to integrate AI capabilities into products.

The Market Access Manager will drive market access efforts, manage regulatory authorizations for satellites, and engage with authorities to facilitate expansion outside the US.

The Director of Strategic Partnerships will manage strategic growth plans and relationships with healthcare partners, focusing on contract management and operational oversight to drive revenue growth and optimize partnerships.

Seeking an Enterprise Systems Engineer to lead Workday and ERP ecosystem implementations with a focus on AI integration, system improvements, and data management. Responsibilities include managing system integrity, developing AI workflows, and executing ETL processes while maintaining high-level technical documentation.

The Performance Engineer Intern will analyze battery site performance, collaborate on data visualization, and develop programming skills to optimize Battery Energy Storage Systems.

Provide telehealth therapy to children and families, conduct intakes, collaborate on complex cases, and manage a flexible caseload. Qualifications include an independent license and experience in evidence-based treatments.

The Compliance and Audit Specialist monitors healthcare regulations, conducts audits and investigations, provides staff education on compliance, and develops policies and procedures to ensure organizational compliance related to patient care and safety.

The role involves building and optimizing data pipelines, modeling datasets, applying machine learning techniques, and supporting data strategies. Candidates should have experience with Python, data lakes, warehousing, and related technologies.