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Lead partner-sourced revenue for public sector markets by building defense and federal partner ecosystems, identifying and closing complex deals, executing joint GTM strategies, influencing product roadmap, and scaling repeatable BD processes while representing the company at industry events.

Manage complex programs for developing customer-facing geospatial technologies. Oversee the program lifecycle, coordinate with teams, and ensure successful deployment.

As a Senior Computer Vision Engineer, you will design and optimize production-grade systems for visual positioning and 3D mapping, leading technical reviews and collaborating across teams.

Lead FP&A as primary owner of planning and reporting: build budgets, rolling forecasts, P&Ls, variance and scenario analyses; prepare Board and executive materials; support monthly close; run cross-functional planning meetings; and improve FP&A processes and systems toward scalable planning.

Own technical solutioning from discovery through implementation for enterprise customers, especially in Energy. Design end-to-end cloud/edge/device architectures, lead technical workshops, produce proposals and SOWs, integrate solutions with enterprise systems (APIs, identity, GIS, robotics), partner with Product and Delivery, support pilots and deployments, and maintain repeatable demos to drive commercial outcomes.

Lead technical solutioning for federal accounts from discovery through delivery: design secure end-to-end architectures across cloud, hybrid, edge and classified environments; author RFI/RFP proposals; ensure integrations into federal ecosystems; influence product roadmap; support implementation, accreditation, and transition to sustained operational use.

The Technical Lead for Computer Vision will implement advanced algorithms, mentor engineers, and optimize code in C++ and Python while collaborating across teams.

Work on learning-based robotics systems, deploying models to physical hardware and simulators (Isaac Sim, MuJoCo), close the sim-to-real gap, perform hardware debugging and sensor calibration, and evaluate classical versus learning approaches to enable autonomous locomotion, navigation, and control.

Build and scale Legal and Finance operational infrastructure: own contract intake and lifecycle, lead procurement and vendor onboarding, support finance approvals and governance, coordinate compliance and audit readiness, administer workflow systems, implement automation, and deliver operational dashboards and KPIs to improve turnaround times and cross-functional alignment.