Job description
This is a remote position.
We are seeking a Human-Machine Teaming Manager to lead the design, implementation, and continuous improvement of workflows and systems where humans and intelligent machines collaborate. This role ensures effective, ethical, and efficient interaction between people and emerging technologies (AI systems, automation tools, robotics, etc.).
Key Responsibilities
Lead the development and deployment of human-machine collaboration strategies across business units.
Assess current workflows and identify opportunities where human-AI teaming enhances performance, safety, or decision quality.
Collaborate with AI engineers, product managers, and UX teams to ensure systems are designed with human needs and capabilities in mind.
Develop frameworks for shared control and decision-making between humans and machines.
Facilitate training and change management processes for employees interacting with intelligent systems.
Evaluate and monitor teaming performance through data analysis and feedback loops.
Ensure ethical, transparent, and inclusive integration of AI tools.
Create documentation and SOPs for optimal human-machine teaming.
Serve as a liaison between technical and non-technical stakeholders.
Requirements
Must-Have:
Bachelor's or Master’s in Human Factors, Systems Engineering, Industrial Engineering, AI/ML, Cognitive Science, Robotics, or related field.
5+ years of experience in tech integration, operations management, or human factors design.
Knowledge of AI/ML systems, automation technologies, and UX principles.
Strong analytical, communication, and leadership skills.
Experience with digital transformation and cross-functional collaboration.
Nice-to-Have:
Familiarity with human-in-the-loop system design.
Experience in safety-critical environments (e.g., aerospace, healthcare, military).
Certifications in project management or systems engineering.
Soft Skills
Systems thinker with attention to human behavior.
Strategic mindset with operational execution capability.
Empathetic communicator who can bridge tech and people.
Benefits
Hybrid / Remote Flexibility
Learning & Development Support
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.