Top Tech Jobs & Startup Jobs in San Antonio, TX

Lead product marketing for Outreach's AI-enabled revenue platform: develop messaging, conduct market/customer research, own sales enablement assets, and execute go-to-market plans across Product, Marketing, Sales, and Customer teams to drive pipeline and revenue.

Hands-on technical architect who designs, implements, and hardens foundational platform components for AI-first fintech squads. Owns system design through production, defines integration/API/data patterns, testing and observability standards, security and tenant isolation, and provides architectural signoff while committing production code and collaborating across Builders and Shippers.

Provide Tier 1/2 support for macOS/Windows and cloud SaaS, manage onboarding/offboarding and IAM (SSO/MFA), administer MDM, document and resolve ITSM tickets, maintain assets/licenses, and drive automation and AI-based process improvements.

The Supplier Development Engineer works hands-on with suppliers to resolve manufacturing issues and improve production processes for aerospace components.

Architect and own core capabilities of an internal AI agent platform: design deployment patterns, shared services, observability, integrations, and developer tooling; partner with stakeholders to turn strategic goals into production-ready agent solutions; troubleshoot and unblock builders while improving platform reliability, scalability, security, and reuse.

Lead and scale global demand generation for enterprise and PLG: develop integrated campaigns (paid, ABM, content, email, webinars, events, partnerships), optimize funnel and attribution, build reporting and automation, and partner cross-functionally with Sales, Product, RevOps, and Customer Success to drive pipeline, revenue, and expansion.

Serve as subject-matter expert in business processes, analyze and recommend system improvements, translate business needs into technical requirements, support system implementation/integration across the EFM portfolio, collaborate with stakeholders, produce documentation and decision-support materials, and use Microsoft Suite and project management tools for analysis and reporting.

Senior technologist and innovation leader driving cross-domain digital transformation (data, AI, cloud, DevSecOps, ITSM, cybersecurity) in federal consulting. Leads innovation strategy, builds reusable solution accelerators, supports federal proposal development, engages senior government clients, and formalizes innovation methodologies to deliver scalable, secure, mission-focused solutions.

Lead technical authority for mainframe modernization: assess legacy environments, design modernization architectures (rehost/refactor/cloud/API enablement), run z/OS/DB2/CICS operations and troubleshooting, plan and execute migrations, integrate DoD security controls, mentor engineers, and produce operational documentation and migration playbooks for DISA/DoD customers.

Lead and scale a multi-market restoration sales organization as a hands-on player-coach: hire and ramp reps, enforce CRM and pipeline discipline, build channel-specific playbooks, personally pursue large commercial and national accounts, align marketing with sales, and provide forecasting and performance reporting to ownership.

Lead design and implementation of backend services and distributed systems for real-time AI automation. Build scalable, observable microservices, streaming data pipelines, and async event-driven architectures. Collaborate across frontend, product, and DevOps to ensure performance, reliability, and seamless integration at scale.

Lead end-to-end implementation of high-fidelity, performant, and accessible frontend features for a realtime collaborative visual canvas. Translate designs into polished interactions, optimize performance and accessibility, collaborate with PMs, designers, and backend engineers, and shape frontend best practices and design systems.

Lead QA strategy and execution for an AI automation platform. Define quality metrics, build automation for regression, integration, and performance tests, validate reliability and scalability, triage incidents, and mentor engineers to embed reliability and testing into CI/CD workflows.

Build and operate cloud-native platform infrastructure enabling AI agents in healthcare: safe CI/CD for agent capabilities, agent-focused observability, scalable infrastructure, automation, runbooks, and incident response.

Build and own the graph layer and RAG architecture enabling agent reasoning over full patient context. Select graph DBs, design query patterns, and ensure temporal coherence. Implement event-driven Kafka pipelines for auditable, immutable agent workflows and enforce ReBAC permissions. Prioritize safety and scalable AI-assisted workflows, participate in spec and plan reviews, and drive architecture decisions.

Design interaction patterns and visual language for AI-driven healthcare products across web, tablet, and mobile. Create systems, micro-interactions, and device-consistent experiences that make AI agents feel like natural colleagues. Work embedded with engineering and product, iterate quickly, and define long-term product feel and design standards.

Serve as liaison between HR stakeholders and technical teams to elicit, document, and translate business requirements into Workday solutions. Support Workday functional areas (payroll, benefits, timekeeping, recruiting, talent), assist with integrations, reporting, releases, UAT, process improvement, and stakeholder engagement to align solutions with university policies and goals.