Top Tech Jobs & Startup Jobs in Austin, TX

The Business Development Executive is responsible for expanding client relationships, securing management contracts, and enhancing the company's presence in commercial real estate.

Support pricing, reserving, and risk management through actuarial analyses, modeling, and regulatory filing assistance. Perform pricing adequacy checks, quarterly reserving support, reinsurance and program oversight, data enablement, and translate technical results into actionable recommendations for underwriting, finance, and leadership.

The Hadoop Architect will define solution architecture and develop a platform for smart services, focusing on enterprise applications with expertise in the Hadoop ecosystem and distributed computing.

As a Sales Development Representative, you will research potential customers, identify sales opportunities, and guide prospects through the sales process while enhancing your sales skills.

This remote sales role focuses on responding to insurance inquiries, delivering quotes, and managing the sales cycle efficiently with the support of experienced mentors.

Seeking a Senior Ruby on Rails developer with front end JavaScript skills, particularly in AngularJS. Must have strong integration experience with REST or SOAP services and Heroku configuration support.

Assist in IT operations including access management, technical documentation, and provide Tier 1 IT support while focusing on automation and security initiatives.

The Senior Production Planning & Scheduling Manager leads complex production planning and scheduling, optimizing processes across various operational constraints. Key responsibilities include strategic planning, advanced problem solving, and cross-functional leadership to enhance operational efficiency and ensure organizational goals are met.

As an Account Executive, you will manage the full sales cycle for LawPro.ai, from prospecting law firms to closing deals while collaborating with various teams to enhance customer engagement.

Lead and execute applied AI/ML projects: translate ambiguous business problems into technical approaches, architect and validate models and pipelines, engage clients, mentor small teams, ensure code and deliverable quality, and contribute to business development and technical strategy.