Top Tech Jobs & Startup Jobs in Houston, TX

Support secure, mission-critical federal platforms by designing and operating CI/CD pipelines, containerized workloads (Kubernetes), secure artifact management, cloud (AWS) deployments, observability, and access controls. Collaborate with developers, data scientists, and government stakeholders to enable secure experimentation, automation, and scale from IL2 to IL4+ environments.

The role involves building backend services for advisor productivity, integrating data sources, designing APIs, and contributing to both backend and frontend development in a greenfield project.

Manage Novus's poultry business, optimize revenue and profit, lead a sales team, develop market strategies, ensure compliance, and maintain customer partnerships.

Manage end-to-end recruitment for US Non-IT roles, including resume screening, candidate assessment, salary negotiations, and maintaining relationships with candidates.

Lead revenue recognition and technical accounting for a global business, ensuring compliance with ASC 606 while partnering with various departments to maintain audit readiness and improve revenue processes.

The role involves architecting and implementing high-speed analog and mixed-signal circuits for photonic transceivers and electronic ICs, requiring collaboration with multidisciplinary teams.

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.

The Finance and Accounting Manager will manage accounting operations, financial reporting, compliance, and team supervision in a remote setting, ensuring adherence to IFRS standards and regulatory requirements.

The Territory Director will manage relationships with Personal Lines networks and brokers, aiming for growth through collaboration and strategy within the sales organization.

The Senior AI Partner Architect drives AI opportunities with partners and sales teams, creating reusable assets and frameworks, ensuring AI solutions' effectiveness, and shaping product direction based on feedback. They design AI systems, establish performance metrics, mentor partners, and support technical engagements, requiring strong AI acumen and communication skills.