Top Tech Jobs & Startup Jobs

Lead a team of geospatial analysts developing products for Special Operations Command, managing geospatial data, and applying analytic techniques to provide actionable insights.

The Senior Customer Success Associate ensures government customer satisfaction through operational support, contract execution, and relationship management. They lead cross-functional teams and engage in upselling and renewals while acting as the primary contact for assigned accounts.

Develop and maintain AI/ML applications, focusing on agent-based workflows, API integration, and enterprise deployment, requiring senior-level experience.

The Mission Director will lead mission operations, manage teams, ensure mission success, coordinate with various stakeholders, and handle incident management.

The AI/ML Engineer will develop and maintain AI/ML applications, design workflows, optimize performance, and manage data processing with a focus on LLM integration and retrieval-based capabilities.

The Cloud Infrastructure Engineer will design, deploy, and manage AWS environments, ensuring security compliance, and provide operational support for mission-critical infrastructure.

The Senior Software Test Engineer will validate the quality and reliability of big data analytics applications, design and execute test plans, perform various testing types, and collaborate with developers in an Agile environment.

The Full Stack Developer will design and implement web applications with a focus on user interfaces and backend API integrations, collaborating with stakeholders in an Agile environment.

The Staff Applied AI Engineer will develop decision intelligence systems using machine learning and optimization, focusing on improving planning decisions and operational efficiency. Responsibilities include building models for revenue attribution, designing decision-support systems, and ensuring security in AI-driven capabilities.

As a Staff Edge Compute Systems Engineer, you will develop and optimize GPU-accelerated systems for space applications, focusing on embedded software, hardware architecture, AI/ML integration, and mission-critical performance.