Senior Field Engineer – Data Center Construction Lead

Remanie AI

Palo Alto (CA)

On-site

USD 150,000 - 230,000

Full time

2 days ago
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Benefits offered by this job

Equity
Medical coverage
Dental coverage
Vision coverage
Flexible PTO
Daily meals
AI tools

Job summary

Remanie AI is seeking a field-based engineer to ensure that on-site construction aligns with designs and sold scope. You will own construction administration and coordinate with contractors, vendors, and the customer team to keep projects moving.

Based in Palo Alto with regular travel to customer sites, you will coordinate field work, problem-solve in real time, and bring lessons back to improve standards and software for future deployments.

Qualifications

  • 7+ years in construction administration, field engineering, or owner's rep work on large industrial or data-center projects.
  • Experience on-site from groundbreaking to commissioning at complex builds.
  • Comfort leading in the field with stakeholders and trades, without formal authority.

Responsibilities

  • Own construction administration on customer projects: RFIs, submittals, change orders, field reports, punch lists.
  • Be on site through key phases, coordinating with GCs, trades, vendors, and the customer team.
  • Ensure field work matches design standards, and push back on unfavorable field changes.
  • Track deliveries, installation, and commissioning for long-lead equipment.
  • Identify issues early and drive them to closure with engineers and external firms.
  • Bring field lessons back to improve references, BOMs, and software.

Skills

Construction administration
Field engineering
Reading drawings
On-site leadership
Travel readiness

Job description

Remanie AI is seeking a field-based engineer to ensure that on-site construction aligns with designs and sold scope. You will own construction administration and coordinate with contractors, vendors, and the customer team to keep projects moving.

Based in Palo Alto with regular travel to customer sites, you will coordinate field work, problem-solve in real time, and bring lessons back to improve standards and software for future deployments.

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