Top Remote Senior Level Jobs in San Antonio, TX

Owns the post-sales lifecycle for enterprise customers, serving as their primary advocate and coordinating onboarding, adoption, value realization, renewals, escalations, and issue resolution. Develops success plans, monitors account health, drives product usage, manages cross-functional teams, communicates with executive stakeholders, and delivers proactive recommendations and root cause analyses. Requires strong enterprise account management, escalation leadership, communication, and collaboration skills, with occasional travel and flexibility outside standard business hours.

Owns publisher-direct, endemic trade, programmatic, and paid social media buying across an enterprise marketing portfolio. The role develops media plans, negotiates publisher contracts, manages campaigns and budgets, implements trafficking and tracking processes, optimizes performance, and connects media investment to pipeline and revenue outcomes. It also builds scalable in-house media operations, manages vendors, establishes measurement frameworks, and advises cross-functional marketing, analytics, MarTech, finance, and supply chain partners.

Own the full enterprise sales cycle for Vibes Connect and RCS Studio, from prospecting and discovery through closing six-figure deals. Generate outbound pipeline, manage forecasts, conduct solution demonstrations, translate technical API and messaging capabilities into business value, and build relationships with enterprise brands. Track performance in HubSpot, collaborate with stakeholders, and consistently exceed sales targets in a remote, fast-paced environment.

Owns Cleo’s application and product security strategy across SaaS and customer-hosted products. Responsibilities include maturing the SSDLC, threat modeling, security scanning, vulnerability triage, penetration testing, coordinated disclosure, CVE management, product security controls, customer-facing advisories, and NIST CSF evidence. The role also leads security enablement, roadmap prioritization, AI security reviews, and hands-on exploit reproduction and patch validation while guiding engineers and security partners.

Leads enterprise data and analytics strategy, architecture, modernization, and delivery across cloud and on-premises environments. Oversees data platforms, engineering, integration, governance, quality, lineage, security, and compliance. Partners with executives to define roadmaps and investments, manages cross-functional teams and vendors, enables AI/ML capabilities, and mentors data professionals while driving scalable, trusted data solutions and measurable business outcomes.

Develop and maintain internal full-stack applications using C#/Blazor or Python. Build CI/CD pipelines and infrastructure automation with GitLab, Azure DevOps, GitHub, Artifactory, and SonarQube. Partner with cross-functional teams to improve software delivery, code quality, security, compliance, and operational visibility. Implement scalable enterprise solutions, infrastructure as code, secure development practices, and DevSecOps workflows.

Design and scale data pipelines and ML/LLM systems, build agentic automation for pipeline generation and maintenance, improve data monitoring, and collaborate with analysts, product, and ML teams to deliver reliable end-to-end data and AI infrastructure for a high-growth e-commerce platform.

Lead design and delivery of full-stack basketball scoring, statistics, and postgame features. Build scalable backend services and APIs with TypeScript and Node.js, develop React web experiences, support iOS and Android products, and make architectural decisions. Collaborate across product, design, and engineering teams, ensure code quality and system reliability, mentor peers, and contribute to technical standards and tools.

Lead a team of software engineers building and scaling Spark’s broker productivity platform. Responsibilities include architecting full-stack solutions, guiding technical direction, reviewing code, managing infrastructure priorities, coordinating product planning, sequencing projects, coaching engineers, hiring, and ensuring reliable, high-quality delivery. The role balances hands-on engineering with people management and is fully remote within the United States.

Build and deploy AI-native products that transform large-scale geospatial data into actionable intelligence. Design multi-agent workflows, integrate frontier LLMs, engineer tool-using agents, and develop data pipelines for anomaly detection and predictive analytics. Ensure secure, scalable cloud integrations and operate production AI systems using DevOps, containerization, orchestration, and CI/CD. Establish feedback and reinforcement mechanisms to improve model reliability while contributing to AI-first engineering standards and documentation.