Top Tech Jobs & Startup Jobs in Austin, TX

Provides first-line technical support to residential and small business customers for voice, data, security, video, broadband, and phone services. Troubleshoots issues, documents customer interactions, monitors outages and maintenance events, identifies root causes, implements solutions, and escalates unresolved problems. The role requires managing multiple support tickets, communicating technical information clearly, and working scheduled nights, weekends, and holidays. The position is remote but includes in-person training in High Point, North Carolina.

People Business Partner supporting Technology and Professional Services business units. Advises leaders on workforce planning, talent deployment, employee relations, performance management, development, retention, organizational effectiveness, change management, and acquisition integration. Partners with HR Centers of Excellence to execute people programs and uses workforce analytics to guide decisions. Requires strong experience in matrixed, high-growth, technology, consulting, or professional services environments.

Manages end-to-end supply chain operations, including forecasting, material planning, warehousing, inventory, logistics, fulfillment, distribution, supplier relationships, and order delivery. Leads operational improvements, risk management, compliance, transportation negotiations, and performance measurement while coordinating across procurement, production, sales, customer support, quality, and engineering. Provides people leadership to operations specialists and ensures efficient, sustainable supply chain performance.

Processes end-to-end payroll for multiple managed customers, resolves cases and escalations, supports Workday payroll configuration, handles year-end and multi-jurisdiction tax activities, troubleshoots audit reports, conducts client calls, documents root causes, and maintains service documentation. The role requires strong payroll compliance knowledge, customer service, analytical ability, organization, and accurate management of competing deadlines.

Lead the commercial launch in an assigned territory by educating HCPs, building relationships, driving product adoption, executing territory business plans, meeting sales goals, maintaining CRM reporting, collaborating cross-functionally, and ensuring compliant customer engagement. Role requires frequent travel and launch-focused selling skills.

Lead hands-on software engineering and architecture across multiple teams, designing and delivering Angular and .NET applications, APIs, integrations, cloud solutions, and reusable engineering platforms. Modernize legacy systems, improve reliability and security, troubleshoot production issues, strengthen CI/CD and testing, and mentor engineers. Establish practical AI-assisted development practices and customer-facing AI capabilities with appropriate security, validation, traceability, and human oversight.

Manage health and performance of product databases: schema design, permissions, backups/recovery, failover clustering, performance tuning, monitoring, incident response, and cross-team support for releases and customer issues. Participate in on-call rotation.

Support users of the TerraSIGNAL agronomy software platform, resolve and prioritize help requests, escalate technical issues, create documentation and training materials, develop AI knowledge-base content, deliver user training, evaluate resolution trends, and test software modules, procedures, and data workflows. The role requires agricultural or technical education, software support experience, strong communication, and familiarity with digital agriculture technologies and spatial data.

Own and evolve scalable distributed systems, REST APIs, backend services, and core product areas. Design solutions, improve resilience, reduce technical debt, and drive modularization. Use AI-first and agentic development practices, evaluate emerging AI tools, and help integrate AI across engineering workflows. Collaborate asynchronously with product, data, and go-to-market teams while improving engineering tools, processes, and system reliability.

Leads and delivers complex data engineering projects, designing scalable data infrastructure, pipelines, warehouses, and data quality solutions. Recommends tools and architectures, optimizes data movement and performance, collaborates across technical teams, mentors engineers, and translates technical concepts for clients and nontechnical stakeholders. The role may also involve real-time processing, data modeling, transformation, security, and MLOps.