Construction PM for AI-Driven 4D Scheduling

Augrade Inc

San Francisco (CA)

Hybrid

USD 140,000 - 200,000

Full time

11 days ago
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Benefits offered by this job

Salary range
Relocation
Healthcare
Commuter benefits
401K matching
Learning stipend
In-office lunch
Unlimited PTO
ESOPs

Job summary

Augrade Inc. is seeking a seasoned PM to lead end-to-end construction scheduling for our AI-powered 4D product. You will leverage real-world construction judgment to shape product decisions and align engineering focus with on-site realities.

You will read blueprints daily, collaborate closely with a small, technical team, and relocate if needed. This hybrid role requires hands-on management of projects and teams across multiple locations.

Qualifications

  • Hands-on construction PM experience end-to-end.
  • Experience overseeing PMs in construction.
  • Ability to read blueprints/construction drawings.
  • Open to relocation and working in SF.
  • Strong judgment bringing construction experience to product decisions.

Responsibilities

  • Help design and build Augrade's 4D scheduling capability grounded in real-world planning and execution.
  • Bring hands-on construction management judgment to product and engineering decisions.
  • Read and interpret blueprints/construction drawings as part of daily work.
  • Work in person with the team roughly one week per month.
  • Partner with engineering on the AI side—no coding required.

Skills

Construction background
Hands-on project management
Overseeing PMs
Blueprint reading
Relocation willingness

Education

Civil engineering or construction management

Job description

Augrade Inc. is seeking a seasoned PM to lead end-to-end construction scheduling for our AI-powered 4D product. You will leverage real-world construction judgment to shape product decisions and align engineering focus with on-site realities.

You will read blueprints daily, collaborate closely with a small, technical team, and relocate if needed. This hybrid role requires hands-on management of projects and teams across multiple locations.

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