scoutmotors

IT Project Manager, AI

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At a Glance

Location
United States
Experience
5+ years
Compensation
. Initial base salary range = $110,000.00 - $135,000.00 Internal leveling code: IC9 N
Posted
2026-02-17T08:02:36-05:00

Key Requirements

Required Skills

AgileConfluenceJira

Domain Knowledge

  • Automation
  • Automotive
  • Education
  • Manufacturing

Requirements

Here's what else you'll bring:

Technical Expertise: Strong knowledge and practical experience with AIdriven project management methodologies, native AI capabilities (including predictive analytics, intelligent automation, and generative AI assistants), and emerging technologies.

AI Mindset: Ability to identify opportunities for AI integration, automation, and ethical use of AI in project delivery.

Agile Leadership: Demonstrated success in facilitating PI Planning sessions and effectively managing Agile backlogs.

Industry experience in automotive or manufacturing sectors.

Familiarity with risk management practices and executive-level reporting frameworks.

Compensation & Benefits

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $110,000.00 - $135,000.00

Internal leveling code: IC9

Notice to applicants:

Residing in

San Francisco

Responsibilities

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

Detail-oriented IT Project Manager to plan and drive the execution of our company’s IT Portfolio and roadmap using Agile principles and frameworks to foster collaboration, continuous improvement, and efficient delivery.

Provide AI project management expertise, guiding teams through emerging technologies and best practices.

Champion an AI mindset across projects—leveraging data-driven insights, automation opportunities, and ethical AI practices to enhance delivery and decision-making.

Work with minimal or vague data, distilling insights, and crafting compelling executive-level presentations that support key technological decisions and long-term planning

Implement robust quality assurance measures to deliver high-quality project outcomes that meet or exceed industry standards.