Top Tech Jobs & Startup Jobs in Austin, TX

The Director, PO Commercial Liaisons leads the Clinical Science Liaison team, oversees training and sales strategy, and ensures the growth of oncology products through effective collaboration and team management.

Manage and grow aerospace business in the Southwest Region by establishing relationships with customers, developing market plans, and assisting inside sales.

Lead month-end close for the Texas entity, manage intercompany and payroll accounting, oversee outsourced accounting staff, support audits and tax compliance, prepare covenant and audit reports, analyze large datasets using Excel and SQL Server Management Studio, and partner cross-functionally to improve processes.

Lead end-to-end product development and scaling of a personal loans offering: own application and qualification flows, optimize conversion and economics, manage vendor integrations, partner with marketing for acquisition, and drive revenue and customer experience improvements.

As AVP of Demand Generation, you'll lead the strategy and execution of comprehensive marketing campaigns to drive demand for healthcare SaaS solutions, fostering cross-functional collaboration and optimizing performance through data analytics.

As Marketing Proposal Manager, you'll lead bids for power transformers, collaborate with teams, ensure compliance, and support project alignment.

The Controller will lead the accounting function, manage financial reporting, oversee audits, and shape processes for a rapidly scaling SaaS company with IPO ambitions.

The Associate Director will manage relationships with clinical trial sites, ensuring successful execution of trials in oncology, optimizing performance, and resolving operational issues.

Lead execution and optimization of lender GTM campaigns and operations in HubSpot. Build and maintain automated, API-driven and AI-enriched workflows (Clay, AirOps, n8n, Lemlist). Own attribution, pipeline analytics, dashboards, playbooks, and enablement while partnering with Marketing and Sales to drive pipeline and revenue.

Design and implement supervised fine-tuning pipelines, create benchmarks, analyze and improve production LLMs, run experiments and hyperparameter searches, build Python tooling for training/evaluation, and document research results.