Top Tech Jobs & Startup Jobs in Austin, TX

Manage Salesforce opportunity intake, qualification, classification, and routing across internal departments. Review RFPs, technical specifications, and installation scopes to identify requirements, deadlines, responsibilities, and project fit. Use approved AI tools to analyze documents and support data-driven triage. Collaborate with sales and operations, maintain accurate pipeline data, and apply knowledge of networking, physical security, audiovisual, and electrical systems while meeting quality and deadline expectations.

Supports sales teams by designing technical solutions, delivering complex product demonstrations, preparing proposals, and addressing customer requirements. Serves as a subject matter expert across networking, security, Microsoft, voice, cloud, UCaaS, and CCaaS technologies. Partners with Product, Engineering, and Sales teams, provides technical training, manages multiple enterprise opportunities, documents sales activity, and represents the company at sales events.

Lead assessment, redesign, and hands-on implementation of data pipelines, ML workflows, and platform infrastructure. Produce prioritized system designs, harden production pipelines, improve observability, reliability, and data quality, and mentor the data team.

Develop predictive machine learning models and generative AI applications using Azure, Python, pandas, and scikit-learn. Build and deploy production GenAI solutions, including RAG, hybrid search, evaluations, multi-agent systems, and user interfaces. Collaborate on dataset design, statistical modeling, process-control integration, and full-stack application development. Present findings to nontechnical audiences while addressing business problems across research, finance, manufacturing, legal, and environmental safety functions.

Designs the technical foundation for Dave’s AI Agent Factory, including agent architecture, MCP servers, governed data access, semantic-layer integrations, evaluation frameworks, deployment standards, observability, authentication, authorization, auditability, and PII protection. The role establishes scalable AI engineering standards and reusable infrastructure while partnering with Data, Engineering, Security, and Product teams to enable safe, reliable company-wide AI adoption.

Leads qualitative and quantitative market research to uncover customer, market, competitive, and healthcare insights. Designs and manages studies, analyzes data using statistical and AI-assisted tools, develops reports and dashboards, presents recommendations, maintains research quality, and coordinates external partners. Collaborates with product, engineering, sales, marketing, and customer success teams to influence product strategy, growth, innovation, and customer experience initiatives.

Develop and maintain high-volume, mission-critical enterprise web applications using C#/.NET, ASP.NET MVC, AngularJS, and SQL Server. Responsibilities include full lifecycle development, architecture and design participation, troubleshooting, performance and scalability improvements, AI-assisted workflow development, Agile collaboration, technical mentoring, and supporting multi-tier systems.

Build and improve Replicant’s AI-native platform, including site reliability, CI/CD, developer tooling, observability, incident management, cloud infrastructure, and autonomous-agent harnesses. Own production infrastructure reliability at scale, reduce operational toil, improve deployment workflows, participate in on-call rotation, and shape platform engineering patterns. The role uses TypeScript/Node.js, Python, Terraform, Kubernetes, Helm, GCP, and modern monitoring tools.

Lead and mentor the embedded software team developing safety-critical vehicle firmware. Set technical direction, architecture, priorities, and delivery milestones while remaining hands-on with real-time systems, fault handling, diagnostics, testing, and hardware bring-up. Partner cross-functionally through integration, validation, and production deployment, and establish reliable practices for code review, CI, release readiness, debugging, and safe multi-device deployment.

Leads enterprise-wide fundraising revenue growth across a portfolio of chapters. Advises chapter leaders and fundraisers on development plans, major gifts, donor engagement, solicitation strategy, KPIs, CRM practices, and revenue reporting. Delivers training, shares best practices, develops fundraising talent, supports strategic alignment, and collaborates with national revenue departments. The role requires relationship-based fundraising expertise, successful high-value solicitations, change leadership, coaching, and up to 20% travel.