Product Manager/Edge (Product Management - Senior)

Job Locations US-VA-Springfield
Job ID 2024-1677
# of Openings
1
Category
Other
Type
Regular Full-Time

Overview

Product Manager/Edge (Product Management - Senior)

Clearance: Active TS/SCI

Location: Springfield, VA

Experience: At least 12 years of experience with 8 years of specialized experience

 

Position Overview:

This role works with the government Exercise and Edge entails support R&D projects to integrate AI and ML into operational and tactical platforms or sensors, aligning with AI/ML's strategies.

Responsibilities

Key Responsibilities:

  • Monitor the funding, development and evaluation of the various technical solutions and micro-services required to integrate AI/ML functions onto DoD platforms.
  • Manage multiple integrators during installation events and developmental tests in furtherance of possible operational deployment.
  • Interface with acquisition and operational stakeholders to synergize warfighter needs, augment existing CONOPs, align tech roadmaps, and deconflict platform schedules.
  • Generate recommendations for advanced AI Development R&D efforts derived from—or required for—immediate AI/ML Edge operations.
  • Relay government direction in support of exercise or demonstrations of AI/ML Edge capability; coordinate material and personal resourcing; document daily onsite operations and data management.

Qualifications

Qualifications:

 

Required:

  • Bachelor’s Degree in Engineering, Computer Science, or other related discipline.
  • Requires broad knowledge of AI model development processes, ability to communicate with external and internal stakeholders and able to succeed in a fast-paced environment.

Desired:

  • Ability to manage diverse teams and competing priorities.
  • Exceptional human relations and communication (written, verbal, and listening) skills and ability to effectively communicate across disciplines and stakeholders.
  • Diverse technical experience, including AI model development, software engineering, regulated software quality and risk management, and monitoring of deployed software.
  • Understand working in a compliance based and regulated environment, including building, deploying, and supporting secure software throughout the AI development life cycle.
  • Experience with data modeling and data exploration tools, including expertise in the use of scientific computing and data management packages.
  • Experience working in a joint military environment.

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