Top Tech Jobs & Startup Jobs in Austin, TX

Manage and optimize infrastructure supporting AI and machine learning systems, including GPU/CPU clusters, cloud environments, LLMs, data pipelines, and model deployments. Responsibilities include system monitoring, security, access management, automation, scripting, CI/CD support, troubleshooting, documentation, and performance optimization. The role collaborates with developers, data scientists, and prompt engineers to maintain reliable, scalable AI platforms.

Identifies business opportunities for AI and automation, gathers and documents requirements, develops business cases, supports solution design and delivery, facilitates stakeholder collaboration, assists with testing and change management, and tracks project outcomes, reporting, and benefits realization.

Actively manage a diversified multi-asset portfolio across equities, fixed income, and options. Design, test, and implement quantitative and discretionary trading strategies; monitor market and macroeconomic conditions; conduct modeling, backtesting, and performance attribution; manage allocation, liquidity, exposure, execution quality, and risk. Prepare investment reports and collaborate with analysts, traders, and senior stakeholders to refine strategies.

Oversee daily BPO operations, service delivery, SLAs, performance metrics, workforce efficiency, budgets, compliance, and client alignment. Lead and develop managers and supervisors, implement process improvements, drive employee engagement, and manage transformation initiatives. The role requires extensive BPO operations leadership, strong analytical and decision-making abilities, experience managing large teams, and proficiency with workforce management, reporting, CRM, and call center technologies.

Own product features from research and UX design through full-stack production delivery. Design user flows, wireframes, and reusable components while building responsive front-end experiences, APIs, back-end logic, and database solutions. Improve hiring marketplace workflows, dashboards, scheduling, messaging, and integrations. Use user feedback, analytics, funnel metrics, and A/B testing to guide iteration while ensuring performance, accessibility, and security.

Leads end-to-end mergers and acquisitions execution, including strategic assessments, market research, financial modeling, valuation, due diligence, deal closing, integration and separation planning, executive communications, and post-close value realization. Partners with business leaders, finance, legal, and operations teams to execute complex transactions and support corporate growth.

Sources, screens, interviews, and hires candidates for high-volume roles, with emphasis on Spanish-speaking talent. Manages the full recruitment lifecycle, maintains candidate pipelines, collaborates with hiring managers, uses ATS and sourcing tools, represents the company at recruitment events, and ensures compliant, professional candidate communication in English and Spanish.

Designs, tests, optimizes, and manages prompts for large language models and AI applications. Develops reusable prompt templates, evaluates AI outputs, conducts A/B testing, monitors performance, and improves accuracy, consistency, and business relevance. Collaborates with AI engineers, product managers, trainers, and business stakeholders to translate requirements into prompting strategies. Researches generative AI advancements and contributes to prompt engineering standards, evaluation methods, and responsible AI practices.

Supports accounting operations by preparing reconciliation reports, reconciling payment trackers across seven agencies, resolving payment discrepancies, processing payment returns, and maintaining accurate financial data. The role requires strong attention to detail, Excel proficiency, organizational skills, and familiarity with payment processors, banks, and financial systems.

Leads enterprise AI workflow automation strategy, identifying opportunities, prioritizing initiatives, designing scalable solutions, and managing implementation programs. Partners with business and technical stakeholders, oversees timelines and deliverables, establishes governance, measures ROI and operational outcomes, and drives continuous improvement. The role also evaluates emerging AI, RPA, and automation technologies while supporting organizational change, adoption, and transformation.