Top Tech Jobs & Startup Jobs in Austin, TX

Leads the global sales organization by developing sales strategy, expanding markets, driving revenue, managing strategic partnerships, and overseeing sales operations. Builds and mentors geographically dispersed teams, manages enterprise sales cycles, monitors performance metrics, oversees budgets, collaborates cross-functionally, and represents the company at industry events. Extensive travel is required.

Leads the architecture, development, deployment, governance, and optimization of enterprise Generative AI solutions. Builds applications using LLMs and foundation models, develops prompt engineering frameworks, supports AI strategy, ensures secure and responsible deployment, mentors engineers, evaluates emerging technologies, and translates business needs into scalable technical architectures.

Leads end-to-end M&A integration from pre-acquisition planning through Day 1 readiness and post-close transformation. Responsibilities include negotiating Transaction Service Agreements, developing integration roadmaps, coordinating cross-functional workstreams, tracking synergies and ROI, managing risks, supporting executive governance, and implementing change management. The role also builds integration capabilities, coaches stakeholders, and ensures operational continuity across HR, Finance, IT, Operations, and other functions.

Leads the strategy, roadmap, development, launch, and optimization of AI-powered products. Defines product vision, requirements, priorities, success metrics, and adoption goals while coordinating engineering, AI, business, executive, and customer stakeholders. Evaluates emerging AI capabilities, supports responsible AI governance, manages product performance, and drives continuous improvement aligned with business objectives.

Performs accounting operations including accounts receivable, invoicing, journal entries, accounts payable transactions, bank and account reconciliations, month-end closing, and financial record adjustments. Maintains accurate accounting information and supports departmental activities while following established controls and accounting principles.

Leads the design, development, and optimization of enterprise Retrieval-Augmented Generation platforms. Responsibilities include building retrieval architectures, ingestion and indexing frameworks, vector search, semantic retrieval, LLM integrations, scalable APIs, evaluation frameworks, governance controls, monitoring, troubleshooting, and performance optimization. The role provides technical leadership, mentors engineers, evaluates emerging technologies, and supports enterprise AI strategy and deployments.

Performs accounting operations including accounts receivable, invoicing, journal entries, accounts payable transactions, month-end close, bank reconciliations, financial reporting support, and correction of accounting records. The role requires collaboration across business units, strong communication, attention to detail, organization, independent work, and compliance with generally accepted accounting principles.

Leads the sales organization by developing strategic plans, growing revenue and market share, managing geographically dispersed teams, cultivating enterprise client relationships, optimizing sales processes, monitoring KPIs, overseeing budgets, and representing the company with executive stakeholders and industry partners.

Oversee and optimize infrastructure supporting AI and machine learning platforms, including servers, cloud environments, compute resources, GPU and CPU allocation, security controls, monitoring, incident response, automation, and scalability. Collaborate with AI engineers, data scientists, and infrastructure teams; troubleshoot issues, perform root cause analysis, maintain documentation, evaluate emerging technologies, and mentor junior administrators.

Design, implement, and optimize AI-powered workflow automation solutions. Analyze business processes, document current and future states, gather requirements, integrate automation tools, support testing and deployment, monitor performance, and identify improvements. Collaborate with business and technical stakeholders, provide training and troubleshooting support, promote automation best practices, and contribute to digital transformation and innovation initiatives.