Loft Orbital
About Loft Orbital
Loft Orbital is a pioneering space infrastructure company, engineered to democratize access to low Earth orbit through a modular "Space Infrastructure as a Service" (SIaaS) model. By acting as the "AWS of space," the company eliminates the prohibitive costs, long lead times, and technical complexities of traditional, bespoke satellite missions. Loft Orbital provides a standardized, turnkey platform that allows customers—ranging from government agencies and defense primes to commercial startups—to rapidly deploy physical payloads, software-only virtual missions, and AI-driven edge-computing applications on proven, commodity satellite buses. Their proprietary technology layer, which includes a universal payload interface and a seamless mission-control ecosystem, enables clients to focus entirely on their mission-critical objectives while Loft handles the end-to-end integration, launch, and on-orbit operations. By bridging the gap between high-performance aerospace engineering and modern, API-first software agility, Loft Orbital empowers organizations to radically accelerate their time-to-orbit, eliminate systemic hardware bottlenecks, and build an unassailable foundation for continuous commercial, scientific, and security success in the modern, AI-transformed global-space economy.

Inside look: Remote culture and values at Loft Orbital
Open Positions1 Roles
Sales Systems Engineer
Benefits and perks at Loft Orbital
Learn about the 3 benefits and perks Loft Orbital offers its remote employees.
Paid Time Off
Generous paid time off, holidays, and sick days to help you rest and recharge.
Equity & Retirement
Competitive retirement matching and equity options to build your future wealth.
Home Office Setup
Generous stipend to set up a comfortable and productive remote workspace.
Salary ranges at Loft Orbital
Estimated compensation ranges based on 0 active job postings.
No salary data available
Loft Orbital hasn't disclosed salaries for their current open roles. We'll update this section automatically as soon as data becomes available.