Automated Intelligence Product Manager
The Overwatch Imaging Automated Intelligence Product Manager will lead the development and lifecycle of software to automate the delivery of critical intelligence from airborne imaging systems. Working with a team of software engineers and in close connection with customers, company leadership, business development, and smart sensors teams, this senior leader will define and implement the vision for Overwatch AI.
Overwatch Imaging is changing the way airborne image-based intelligence is created. Rooted in the airborne intelligence and drone technology cluster of Hood River, Oregon, Overwatch Imaging is revolutionizing human understanding of the world through computer vision-optimized sensing. Overwatch Imaging makes customized imaging payloads designed for mission-critical, automated remote sensing roles. Our products allow tactical UAS and general aviation aircraft to automatically detect small targets, collect precision survey maps, conduct autonomous search, and provide real-time image-based intelligence to users. Overwatch Imaging payloads feature autonomously gimballed cameras combined with onboard image processing and AI software, which we leverage to reduce operator workload, accelerate data processing workflows, and identify hard-to-find small signals from large datasets.
Major Areas of Responsibility:
The ideal candidate will be strong in many of these areas:
Overwatch AI Product Vision: Defines the technology roadmap and key features of our automated intelligence software 3- to 18-months out with consideration for impact, market adoption, technical risk and implementation effort.
AI Software Technical Leadership: Working individually as well as with and through other software engineers, implements prototype and deployable solutions using computer vision, machine learning, neural nets, probabilistic programming, and heuristics learned from real world experience.
Image Data Processing: Develops and improves software for real-time automatic object detection and classification; develops tools, datasets and workflows to support the continuous improvement of automated ‘thingfinding’ software.
Human-Machine and Machine-to-Machine Interfaces: Identifies and implements solutions for automated sensor tasking and automated intelligence reporting.
Company Building: Works with the executive leadership team as an expert and advocate for autonomy and AI; supports customer capture and fundraising efforts; attracts and inspires a world-class team to realize our vision.
Experience and Education:
Experience designing and implementing autonomy software in industry, particularly in aerospace and defense, self-driving cars, or similar applications.
Expertise in computer vision and machine learning with imagery.
Experience with professional software development, including version control software tools and branch management.
Experience with software business models and scaling software operations, especially in edge implementations.
Experience with airborne or space-based sensor operations and geospatial intelligence, from prior military service or similar, is highly desired.
MS or PhD in computer science, robotics, computational cognition, artificial intelligence or a similar field is highly desired.
Translating customer inputs and executive vision into software tasks and plans.
Programming with C++, Python, CUDA, OpenCV, MATLAB and similar for deployment on Linux operating systems and GPU-accelerated hardware.
Familiarity with visible-band and thermal imagery, data formatting and transfer, control systems, and geolocation technologies.
Edge processing implementation with parallel programming, multithreading, and algorithm optimization a plus.
Uses terms like transformers, testing, segmentation, schedule, recall and revenue comfortably and correctly
Thrives in a dynamic, fast-paced, venture-backed startup business environment
Motivates and inspires teammates by demonstrating a prodigious work ethic
Collaborates well in a small team environment with teammates and customers
Enjoys hands-on work, learning new skills, and taking responsible risks
Takes pride in seeing new products reach operational use quickly
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