Top Tech Jobs & Startup Jobs in San Antonio, TX

As the Director of Data Science, you'll mentor teams, oversee projects, drive data-driven decisions, and implement AI and ML solutions while enhancing our data pipeline.

Prospects for new small-business customers through cold calling, networking, and lead generation within an assigned territory. Identifies customer needs, recommends wireless solutions, negotiates and closes deals, manages sales funnels, reports forecasts, and grows the customer base. The role requires strong communication, customer service, negotiation, multitasking, and relationship-management skills, along with a high school diploma or GED and legal authorization to work in the United States.

Staff Data Engineer responsible for setting technical direction, architecting scalable data platforms, leading cross-functional initiatives, improving reliability and performance, and enabling AI-assisted analytics and development. The role includes hands-on development with Python, SQL, cloud data warehouses, orchestration, infrastructure as code, Kubernetes, Kafka, and streaming pipelines, along with mentoring, technical advocacy, documentation, code reviews, and on-call troubleshooting.

Lead enterprise implementations of TigerConnect healthcare software from initiation through closure. Responsibilities include software configuration, stakeholder and resource management, risk and budget oversight, organizational change management, user training, executive reporting, customer onboarding, quality assurance, and process improvement. Collaborate with product, engineering, solution design, and clinical teams while ensuring projects meet scope, schedule, budget, customer value, and ROI objectives.

Build and maintain cloud-native infrastructure, automate manual operations, develop Terraform modules and Helm charts, manage Kubernetes and service mesh configurations, monitor GCP databases and services, improve observability, maintain CI/CD pipelines, and use AI coding agents to enhance infrastructure development. Collaborate with engineering teams on instrumentation, architecture, capacity planning, scalability, reliability, security, and developer experience.

Own full-cycle, net-new enterprise sales for the MapQuest mapping platform. Build outbound pipeline across targeted verticals, sell location APIs and SDKs to technical executives, manage technical evaluations and proofs of concept, negotiate enterprise contracts, and close multi-year deals. Partner with Solutions Architecture, procurement, product, and company leadership while providing market feedback. This is a remote individual-contributor role with prospect and event travel.

Manages high-risk, complex customer escalations from initial contact through resolution across phone, chat, and email. Evaluates customer, legal, financial, operational, and reputational risks; prepares executive and regulatory communications; coordinates with Legal, Finance, and cross-functional teams; and exercises independent judgment on exceptions and reimbursements. Identifies root causes, recurring trends, and process improvements while using AI tools to improve resolution efficiency and customer retention.

Lead the technical direction, architecture, and development of Compass, an LLM-powered agent platform. Design multi-agent systems, MCP and A2A integrations, orchestration, evaluation, and observability infrastructure. Drive cross-team technical projects, production support, engineering quality, mentoring, and adoption of AI-assisted development practices. Partner with Product, QA, Design, Operations, and Engineering stakeholders to deliver reliable agentic systems.

Own and expand a portfolio of 15–25 enterprise accounts, generating approximately $1.2M in annual expansion quota. Prospect within existing customers, identify new departments and use cases, build executive relationships, run business and quarterly reviews, and close complex 6–12 month enterprise deals. Partner with sales engineers, customer success, and leadership while creating account plans, developing pipeline, and presenting Monte Carlo’s data and AI reliability platform to technical and executive buyers.

Own Cleo’s application and product security program across SaaS and customer-hosted products. Lead SSDLC practices, threat modeling, security tooling, vulnerability management, penetration testing, coordinated disclosure, CVE publication, and NIST CSF controls. Define product security standards, roadmap, secure defaults, access controls, and customer-facing advisories. Partner with engineering, product, architecture, and customers while guiding security engineers and consultants. Also establish protections for LLM applications, AI agents, and AI-assisted development workflows.