Top Tech Jobs & Startup Jobs in Austin, TX

Build and ship core platform services from data processing to customer-facing APIs. Implement reliable data interfaces and pipelines, write clean scalable code, choose tools/architectures, mentor engineers, and drive technical direction and observability for a high-impact reinsurance platform.

Provide technical support by diagnosing issues, collaborating with teams for escalated cases, documenting solutions, and improving processes in customer environments.

Lead creative strategy and testing across performance channels (Meta, TikTok, Google, YouTube, CTV). Analyze ad performance, extract consumer insights, build scalable creative roadmaps, brief UGC talent, design structured tests, and partner with Growth, Production, and clients to operationalize and iterate on high-performing creative.

The Project Controls Coordinator supports project delivery through task coordination during design, construction, and deployment phases, managing budgets, schedules, and documentation while interfacing with clients and contractors.

The Full-Stack Developer will design, develop, and maintain applications, focusing on backend APIs and user interfaces, while optimizing for performance and reliability.

The role involves reviewing code changes, assessing problem fairness and test quality, and writing clear justifications for decisions. It requires independent judgment in evaluating coding problems.

The Senior Product Manager will lead the strategy and execution of healthcare technology products related to billing, coding, and revenue cycle management, collaborating with various stakeholders to enhance operational efficiency.

As Marketing Lead, you'll build and execute go-to-market strategies for token marketing and product services, using AI tools for efficiency and scalability in a startup environment.

The Account Executive at CoreStory is responsible for full-cycle sales, focusing on technical SaaS products. Key tasks include building sales pipelines, engaging executives, applying qualification methodologies, and collaborating cross-functionally to drive value for customers.

As a Machine Learning Engineer, you'll create and optimize production-ready ML solutions, manage the ML lifecycle, and conduct experiments.