Top Tech Jobs & Startup Jobs in Austin, TX

Manage enterprise accounts, drive new business, lead complex sales cycles, build relationships with stakeholders, and forecast pipeline.

The Finance Lead will oversee Veda's financial operations, manage treasury flows, design systems, ensure reconciliation integrity, and lead cross-functional collaboration involving Finance and Engineering teams.

The Senior Account Executive will manage the full sales cycle, focusing on enterprise clients in finance, healthcare, and technology, while collaborating with various teams to optimize sales strategies.

Lead and manage aspects of the digital ecosystem, drive digital business growth, support sales, and engage with stakeholders to develop innovative solutions.

Responsible for sales growth and customer satisfaction in a designated market, managing sales processes, and developing new opportunities.

As VP of Product Management, lead product strategy, oversee product development, conduct market research, and mentor product teams in a hybrid work environment.

Lead client services overseeing Account Directors and Managers, ensuring client satisfaction and growth, while coordinating with teams for service delivery.

The DCIM Design Engineer leads the implementation of various control systems, manages contractors, ensures quality assurance, and oversees project deliverables, driving standardization and risk mitigation throughout data center construction projects.

Own and manage high-value client accounts, driving growth through strategic planning, relationship building, and collaboration across teams to enhance product adoption.

The Senior Backend Engineer will develop financial technology solutions, focusing on transparency in consumer lending through modern API development and data analytics, while collaborating with various teams to enhance product offerings.

The Senior Software Engineer will focus on infrastructure, reliability, and platform engineering, designing scalable systems, managing CI/CD processes, and evolving observability and incident response protocols.

The role involves improving recommendation systems using machine learning, developing end-to-end ML systems, and collaborating with engineers.