Top Tech Jobs & Startup Jobs in Austin, TX

The Senior Analytics Engineer will create scalable data systems, ensure data quality, support cross-functional teams, and communicate insights effectively.

Responsible for generating leads, qualifying prospects, and providing high quality opportunities to Account Executives. Engagement through various channels is key to success.

The Sales Director at Aces Payments leads a team of Senior Payments Advisors, drives business growth, and builds client relationships, utilizing sales tools and performance metrics to ensure success.

As a Senior Payments Advisor, you'll drive sales by prospecting new clients, closing deals, and nurturing long-term relationships in the merchant services sector.

Independent Sales Partner responsible for identifying merchant accounts, submitting deals, and maintaining relationships with clients. High residual income opportunities through established networks.

Perform outbound prospecting (cold calls, email campaigns), attend events, and qualify public-sector leads using HubSpot and Gong. Leverage knowledge of government procurement and MEDDIC to generate pipeline and support expansion across new states, reporting to the Head of Business Development.

The Principal AI Architect will create and govern AI solutions while shaping the enterprise architecture strategy in a healthcare tech context.

Lead outbound sales and full-cycle business development in the US, building pipelines, crafting proposals, collaborating with technical teams, and closing large custom digital services deals while representing the company at events.

The Senior Business Finance Analyst is responsible for financial reporting, forecasting, and analysis, acting as the primary finance partner to segment leadership to drive insights and decision-making.

The YouTube Producer will lead high-performing content production for YouTube, managing workflows, developing concepts, and maintaining quality standards.

The Manager of Go to Market Enablement will lead the learning strategy for customer-facing teams, aligning functions, tracking KPIs, and fostering teamwork across departments to improve market readiness and performance metrics.

Design and build AI-powered features leveraging LLMs and retrieval systems. Integrate data systems and create applications for sports analytics. Collaborate with cross-functional teams for high-quality product development.

As a Data Engineer, you'll build and maintain data pipelines, work with ML teams, and ensure the data integrity for analysis and AI-driven products.

As an ML/AI Engineer, you'll build and operate the LLM platform, integrating models, optimizing performance, and collaborating cross-functionally to ensure reliable AI systems.