Top Tech Jobs & Startup Jobs in Austin, TX

Entefy seeks a Senior Data Scientist with a Master's or PhD in a relevant field, and 3+ years of experience. Responsibilities include delivering advanced analytics, leading teams, and extracting insights from datasets.

Lead the design and implementation of AWS cloud solutions for enterprise applications, ensuring scalability, security, and compliance in the U.S. Healthcare domain.

The Data Engineer will build and manage scalable data pipelines and databases, collaborate on architecture, and drive data systems towards real-time capabilities in a fast-paced, innovative environment.

As a Client Success Manager, you'll manage client relationships, oversee technical project delivery, and ensure project milestones are met effectively, while using AI tools to enhance workflow and engagement.

As a Founding Engineer, you'll lead product development initiatives, make architectural decisions, and foster engineering best practices in a startup environment. Your expertise will be critical in building a user-friendly AI-driven supply chain platform.

The Product Sales Manager drives sales growth for Robotic Solutions in North America, managing sales strategies, client relationships, and product expertise.

As a Pre/Post Sales Solutions Architect, you will demonstrate Gremlin's reliability solutions to customers, consult on architectures, and engage in technical projects while collaborating with internal teams.

The Senior Svelte Software Engineer will develop high-quality, scalable Svelte web components, collaborate on design systems, and ensure component reliability.

Hands-on accounting role focused on FP&A and financial reporting across multiple entities. Support month-end close, reconciliations, budgeting/rolling forecasts in Vena, KPI and management reporting, cash flow forecasting, payroll and tax support, ad hoc financial modeling in Excel, and process improvement to build scalable, audit-ready finance operations.

Lead full‑stack engineering projects across frontend and backend, design system architecture, collaborate with ML researchers and clinicians, implement user‑facing features, define APIs, write tests (unit/integration/e2e), produce technical specs, and use cloud infrastructure and CI to ship iteratively.