Top Tech Jobs & Startup Jobs in Dallas, TX

The Director of Sales will lead the sales team at Force Therapeutics, responsible for developing scalable sales strategies, acquiring new clients, managing relationships, optimizing sales processes, and providing leadership in collaboration with other departments.

The Technical Account Manager (TAM) develops and strengthens relationships with strategic customers, providing expert technical support, guidance, and advocacy. They ensure optimal performance of Rootstock solutions by troubleshooting complex issues, collaborating with internal teams, and contributing to product enhancements. The TAM also helps customers plan long-term technology goals and manages escalations effectively.

As a Solution Architect at Cherre, you will be responsible for developing expertise in the Cherre platform and features, attending strategic client meetings, building deep client relationships, guiding business requirements, designing end-to-end solutions, and collaborating with various teams. Requirements include 5+ years of experience in real estate or client-facing technical roles, knowledge in databases and data warehousing, customer-centric approach, technical skills in data querying and modeling, problem-solving abilities, and strong communication skills.

The Texas/Louisiana Regional Sales Manager at HammerHead is responsible for all direct sales activities within the assigned region. This role involves achieving sales objectives, establishing new customers, maintaining product knowledge, and managing dealer relationships.

As a Software Engineer on the Human Data team, you will improve AI model capabilities, build and maintain codebases in languages like Python and Rust, and collaborate with teams to refine AI-generated code.

The Senior Account Executive is responsible for building market positions by locating, developing, negotiating, and closing new business. Key duties include assessing clients' investment strategies and advising on appropriate lending solutions while maintaining relationships with direct investors and brokers. The role requires a proactive approach, strong understanding of real estate investing, and superb organizational skills.

Responsible for developing tailored data science solutions, leveraging machine learning techniques to transform complex datasets into actionable insights, communicating findings, designing scalable models, and working cross-functionally with teams to integrate data science solutions.