Collections Specialist
Senior Proposal Manager (R5381)
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
Job Description:
The primary function of this role is the leading and managing of Software proposals and Purchase agreements for Domestic and International customers. In addition to managing proposals, the BD Ops team is looking for this candidate to have strong understanding of AI and robotics technology and software products. In this capacity the proposal manager will be able to support our growing number of cost proposal submissions and mange, write, and respond to requests for information (RFIs).
\n- Take extreme ownership of assigned proposal efforts for the product line.
- Manage multiple competing priorities in a dynamic, fast-paced environment including proposal management, technical content generation, and process improvement.
- Develop strategies that result in high quality, compliant and compelling proposals.
- Serve as the primary cross-functional owner of each proposal at all levels of the organization.
- Manage Project lifecycle from start to finish including kickoff, collaboration with stakeholders, leadership reviews.
- Maintain strict configuration management of all documentation.
- Develop compliance matrices to document solicitation requirements and ensure compliant proposals are submitted to a customer.
- Manage and author technical content for requests for information, abstracts, and quad charts.
- Support Account Executives to close deals and grow revenue by managing and driving critical business development operations.
- Work closely with BD, marketing, engineering, program, and product management teams to ensure proposal compliance for the technical, management, pricing, and past performance sections are
- 3-5+ years of proposal management experience plus experience working with government and International customers.
- Bachelor's degree in business, marketing, engineering or equivalent industry experience.
- Exposure to proposal methodologies (e.g. Shipley).
- Outstanding record of academic achievement.
- Demonstrated aptitude for analytics.
- Proven record of leadership in a work setting and/or through extracurricular activities.
- Exceptional analytical and quantitative problem-solving skills.
- Ability to author technical content for requests for information, abstracts, and quad charts.
- Ability to work collaboratively in a team environment.
- Ability to work effectively with people at all levels in an organization.
- Ability to communicate complex ideas effectively – both verbally and in writing.
- You have a demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others.
- Experience managing Commercial proposals and agreements
- Strong understanding of AI and robotics technology
- Familiarity with software products.
- Strong technical background especially with Unmanned Aircraft Systems (UASs).
- You have demonstrated thorough understanding and knowledge of the military operations and the acquisition process that allows you to maintain strong customer relations.
- Demonstrated understanding of specific DoD operational scenarios and systems.
- Eligible for Secret+ security clearance.
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Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.
Staff Engineer, Core Platform Integration (R5411)
Job Description:
Lead, Program Finance (R5328)
Job Description:
We’re looking for a Finance Lead with sharp analytical instincts and a passion for driving business performance to join our high-performing finance team. Supporting our fastest-growing Hivemind business unit, this is a high-visibility, high-impact role where your insights will directly shape strategy and fuel innovation.
In this fast-paced, constantly evolving environment, you won’t just crunch numbers—you’ll influence decisions, uncover opportunities, and partner with leaders across engineering, operations, and product to deliver actionable financial intelligence. Your work will help optimize performance and steer one of our most critical business areas toward sustained growth.
The ideal candidate brings deep experience in financial modeling, operational finance, and data analysis, as well as a solid grasp of IFRS/GAAP, government contracting, and both hardware and software businesses. If you're energized by complexity, motivated by results, and ready to make a real impact, we want to hear from you.
Shipping and Receiving Clerk
Heavy Equipment Operator
Production Operator
Staff Engineer, Digital Factory Lead (R5265)
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
Founded in 2015, Shield AI is building intelligent, autonomous aircraft that protect service members and civilians around the world. As we scale production, we're building more than a factory—we're building an AI-native manufacturing ecosystem that will define the future of aerospace production.
Build the AI Factory of the Future
We're looking for a Digital Factory Lead to help create one of the world's most advanced manufacturing environments.
This role sits at the intersection of manufacturing, software, data, automation, and artificial intelligence. You will define and deploy the digital systems, connected infrastructure, and AI-enabled tools that power aircraft production—transforming factory operations through technology.
From implementing our Manufacturing Execution System (MES) to deploying AI-powered manufacturing solutions, you'll help define how autonomous aircraft are built for years to come.
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- Develop and execute Shield AI's AI Manufacturing roadmap.
- Identify opportunities to leverage AI across production, quality, maintenance, supply chain, training, and operational decision-making.
- Deploy AI-powered solutions including intelligent work instructions, manufacturing copilots, predictive maintenance, automated root-cause analysis, and advanced analytics.
- Partner with software and data teams to turn operational challenges into scalable technical solutions.
- Capture and digitize manufacturing knowledge to improve workforce productivity, training, and consistency.
- Lead the deployment, configuration, and continuous improvement of Shield AI's Manufacturing Execution System (MES).
- Establish the digital thread connecting engineering, production, quality, maintenance, and supply chain operations.
- Drive integration between MES, ERP, PLM, QMS, factory automation systems, and manufacturing equipment.
- Define and deploy the digital architecture supporting production equipment, tooling, test systems, PLCs, sensors, and industrial controls.
- Establish factory-wide connectivity and real-time operational visibility.
- Develop the data ecosystem required to support AI, automation, analytics, and future autonomous manufacturing capabilities.
- Develop and execute Shield AI's Digital Factory roadmap.
- Lead automation initiatives across manufacturing, inspection, testing, and material flow.
- Evaluate emerging technologies including machine vision, digital twins, autonomous inspection, and next-generation manufacturing systems.
- Help define what aircraft manufacturing should look like over the next decade.
- Bachelor's degree in Engineering, Manufacturing Engineering, Industrial Engineering, Computer Science, Automation, or a related technical discipline.
- 8+ years of experience in digital manufacturing, manufacturing systems, industrial automation, software-enabled operations, or Industry 4.0 environments.
- Experience implementing manufacturing software systems such as MES, QMS, maintenance, analytics, or automation platforms.
- Strong understanding of manufacturing operations, industrial controls, factory automation, and manufacturing data systems.
- Experience working directly with software developers, system integrators, automation engineers, or data teams to deliver production-ready solutions.
- Demonstrated ability to lead complex cross-functional initiatives from concept through deployment.
- Aerospace, defense, automotive, robotics, electronics, or other high-complexity manufacturing experience.
- Experience supporting greenfield factory launches or large-scale factory transformations.
- Experience applying AI, machine learning, advanced analytics, or digital twin technologies in an operational environment.
- Knowledge of AS9100, or other highly controlled manufacturing systems.
Most companies are still trying to digitize their factories.
At Shield AI, we're building an AI-native manufacturing environment from the ground up.
The systems, technologies, and AI-enabled capabilities you deploy will directly influence how autonomous aircraft are manufactured for years to come, enabling Shield AI to scale production while maintaining the quality, speed, and operational excellence required for mission-critical aerospace systems.
#LI-JM1
#LD
Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
###
Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.
Staff Engineer, Autonomy (R5179)
Job Description:
We’re on the lookout for an experienced Staff Engineer, Autonomy to join our Hivemind Solutions team and help design, build, and deploy real-world autonomous capabilities for uncrewed systems. This is a hands-on engineering role, blending software development with robotics, perception, and path planning. You’ll be joining a high-performing team shaping the future of AI pilots for solving real-world problems.
If you’re a capable C++ developer with a passion for robotics and autonomy, this is your chance to make a real impact.
Staff Engineer, Computer Vision (C++) (R5196)
Job Description:
This role is for a Computer Vision C++ Engineer to support the development of real-time perception capabilities for Shield AI's autonomous systems.
The Computer Vision Engineer will be responsible for designing, developing, and integrating advanced computer vision algorithms into high-performance C++ software pipelines. The role will focus on building custom perception capabilities from the ground up, with an emphasis on real-time performance, reliability, and deployment in edge compute environments. This position is required to increase the team's capacity and technical depth in real-time computer vision, image processing, and applied machine learning.
The successful candidate will bring strong C++ software engineering skills, experience developing high-performance or real-time systems, and a deep understanding of computer vision fundamentals. They should be capable of translating research concepts into deployable software and comfortable working on bespoke algorithms rather than relying only on existing libraries. Experience with areas such as camera calibration, multi-view geometry, geospatial registration, 3D reconstruction, image rectification, sensor alignment, coordinate transformations, or target localization would be highly valuable.
The role will also support the development of geometry-based computer vision pipelines, including applications such as camera modelling, intrinsic and extrinsic calibration, image-to-world projection, geolocation from imagery, visual registration, and multi-sensor spatial alignment. Familiarity with photogrammetry, epipolar geometry, bundle adjustment, terrain or map-based registration, and deployment of geometry algorithms into real-time C++ systems would be beneficial. Candidates with a Master's or PhD in Computer Science, Engineering, Robotics, Computer Vision, Geomatics, Photogrammetry, or a related field would be well aligned with the technical needs of the team, though strong applied industry experience is also highly relevant.
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