Top Tech Jobs & Startup Jobs in Austin, TX

Lead PeopleSoft General Ledger implementations, manage ERP development lifecycles, conduct tests, and oversee project design sessions while collaborating with business teams.

Lead and manage client relationships for eDiscovery projects: coordinate deliverables, execute project schedules and forecasts, ensure quality and accuracy, maintain project status records, communicate proactively with clients and internal teams, escalate issues, and review financial/billing information to meet deadlines.

As a Sales Engineer, you will onboard clients, optimize account performance, collaborate with teams, and resolve technical issues while enhancing customer satisfaction.

The Senior Staff Process Development Engineer oversees manufacturing line design, capacity analysis, and process validation while leading cross-site initiatives and mentoring junior engineers.

Manage a high volume of inbound leads and future outbound efforts to hit sales targets, conduct demos, build relationships with decision-makers, collaborate with internal teams, and maintain CRM pipeline accuracy.

The Dynamics AX Software Developer will code, design systems, solve technical problems, and collaborate with global teams on Dynamics AX applications.

Manage and grow cultural resources practice, oversee projects, ensure regulatory compliance, mentor staff, and engage clients in various sectors.

Lead Workday governance, roadmap, and end-to-end delivery of HR system enhancements. Combine project management and business analysis to elicit requirements, design Workday solutions, manage risks, coordinate testing and deployment, and drive stakeholder alignment and adoption across HR, IT, and business partners.

Lead and grow a controls engineering team, design and implement integrated electrical and control systems, specify/configure PLCs, HMIs, SCADA and instrumentation, manage project budgets/schedules and P&L, work with sales and clients, and mentor technical staff.

Lead development of an internal AI platform and orchestration components to deploy Agents and RAG pipelines. Build core infrastructure, SDKs, APIs, and data pipelines; collaborate with applied scientists, data engineers, SRE, and QE; design developer-facing interfaces; ensure operational excellence, observability, and testable, production-grade AI services.