AI Construction Scheduler (Hybrid - SF in-person 1x/mo)

True Talent Solutions Partners

San Francisco (CA)

Hybrid

USD 140,000 - 200,000

Full time

14 days+

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Job summary

True Talent Solutions Partners is seeking an experienced construction project leader to help design and build 4D scheduling tools that fuse 3D models, timelines, and planning data for complex construction projects. The role emphasizes applying contractor PM judgment, reading blueprints, and collaborating with engineering on AI-enabled work.

The team meets in San Francisco about one week per month, with hybrid in-person and remote coordination.

Qualifications

  • Eight to twelve or more years of construction project management experience.
  • Experience managing complex projects across the United States, including overseeing project managers or teams through delivery.
  • General contracting experience, with exposure to both office-based planning and field execution.
  • Ability to read and understand construction drawings and blueprints.
  • Comfort with construction project management tools, 3D modeling or BIM, and interest in applying AI to construction workflows.

Responsibilities

  • Design and build scheduling capabilities grounded in how construction projects are planned and executed.
  • Apply general contractor project management judgment to product and engineering decisions.
  • Read and interpret blueprints and construction drawings in day-to-day work.
  • Collaborate with engineering on technical and AI-related work without needing to write code.
  • Work in person with the team in San Francisco roughly one week per month.

Skills

Construction PM
Complex projects
Read drawings
General contracting
BIM/3D modeling
AI in construction

Tools

BIM / 3D Modeling

Job description

True Talent Solutions Partners is seeking an experienced construction project leader to help design and build 4D scheduling tools that fuse 3D models, timelines, and planning data for complex construction projects. The role emphasizes applying contractor PM judgment, reading blueprints, and collaborating with engineering on AI-enabled work.

The team meets in San Francisco about one week per month, with hybrid in-person and remote coordination.

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