DroneShield
Proposal Lead (USA)
Warrenton, VA
Sponsorship not specifiedDetected 26 days ago
Project ManagementSalesPipeline ManagementExcelProcurementCustomer SupportCollaborationMentoringMicrosoft OfficeSharePoint
About the role
- This role is ideal for a strategic doer: someone who is equally comfortable managing a proposal and writing its core narrative.
- This is a hands-on role suited to someone who thrives in a fast-paced environment and is passionate about delivering winning bids.
Responsibilities
- DroneShield is seeking a highly capable Proposal Lead to manage and author key proposal responses-including RFIs, RFPs, RFQs, and other opportunities-across US and international defense security markets.
- You will collaborate closely with sales, engineering, legal, finance, and executive stakeholders.
- You will coordinate inputs across cross-functional teams to develop compelling, high-quality, compliant proposals.
Compensation
- Work with cutting edge AI technology, making the world a safer and more secure place.
- DroneShield (ASX:DRO) offers an opportunity to solve some of world's most challenging technical problems in the rapidly growing counter-drone sector.
- Our customers operate in some of the most challenging and high-stakes environments in the world, including military organizations, government agencies, airports, critical infrastructure operators, and law enforcement.
- Protecting airspace in these settings requires technology that performs under pressure and teams that understand what's at stake.
- At DroneShield, employees work at the leading edge of counter-drone innovation, helping to address real-world security challenges as drone threats continue to evolve globally.
- DroneShield's American operations are headquartered in Warrenton, Virginia, home to a growing team of approximately 30 highly skilled professionals.
Apply directly at DroneShield →Create a free account for alerts like thisView DroneShield immigration profile
This listing is sourced directly from DroneShield's careers page and normalized into a canonical job model.