Top Tech Jobs & Startup Jobs in Austin, TX

The Head of Business Operations will manage the OKR framework, optimize business processes, lead SaaS management, and ensure compliance while driving operational excellence.

The role involves delivering risk control services, evaluating complex risks, developing strategies to improve profitability, and maintaining business relationships, requiring high expertise in risk assessment.

The Director of Finance & Systems drives financial leadership, optimizes systems and processes, and implements automation for growth and efficiency in financial operations.

The Account Executive will focus on new business acquisition, utilizing consultative SaaS sales in retail technology, managing sales strategies, and collaborating across teams.

Lead and manage global data center construction projects, ensuring timely completion and budget adherence while overseeing contractors and project quality.

The Account Executive will manage sales cycles, qualify opportunities, build relationships, and close deals while leveraging data intelligence.

Seeking an Austin-based full-stack developer to build an MVP for a consumer platform. Role involves end-to-end development across mobile and web, requiring in-person collaboration.

The Demand Generation Manager will design and launch email and multi-channel campaigns, analyze performance, and collaborate across teams to drive B2B growth.

You will upgrade blockchain nodes, automate processes to enhance service effectiveness, and identify investment areas for further automation.

The Lead Analytics Engineer will design and implement data models, standardize semantic layers, enhance data quality, and mentor other engineers while ensuring compliance with healthcare standards.

The Data Scientist II role involves analyzing healthcare data, developing models, and delivering insights to support decision-making in a dynamic organization, while leveraging advanced technologies like LLMs and data visualization tools.

As a Machine Learning Engineer, you will perform analysis on healthcare data, develop and deploy clinical machine learning models, and collaborate with various stakeholders.