Gigaenergy

Gigaenergy

Senior Technical Project Manager

Houston, TX or Remote, US · Senior

Sponsorship not specifiedDetected 22 days ago
Project ManagementCadenceLeadershipMentoringBIMPrimavera P6

About the role

  • If you've been bored somewhere else, you won't be here. - The Impact: Every person at Giga touches the work that matters.
  • No layers, no waiting for approval chains.
  • You'll see your fingerprints on what we ship. - The Team: A team of operators defining the future of AI infrastructure.

Responsibilities

  • Own the integrated project schedule from Site Feasibility through IFC and construction close-out fully logic-tied, resource-loaded, and updated weekly in Primavera P6 or MS Project.
  • Lead all design coordination across Mechanical, Electrical, Structural, Architectural, and specialty disciplines run the weekly coordination cadence and hold discipline leads accountable to milestone commitments.
  • Manage Plan of Record governance for your projects ensure site adaptations are on the correct version of Giga's standard design products and that all deviations are formally controlled.
  • Own the RFI and Submittal process through construction
  • maintain design intent from IFC through energization.
  • Write and own Scopes of Work (SOW) for external A&E firms
  • manage the RFP and selection process for site-specific partners.
  • Hold consultants accountable to budget, schedule, BIM standards, and deliverable quality. Manage change orders and escalate performance issues.
  • Monthly team onsites where all offices come in-person to collaborate
  • Proven ability to lead cross-functional teams and drive decisions across groups you don't directly manage.

Requirements

  • Bachelor's degree in Architecture, Engineering, or Construction Management.
  • Proficiency in Primavera P6 or MS Project, Bluebeam Revu, Autodesk Construction Cloud (ACC / Build), and Procore or equivalent.
  • Strong understanding of the entitlement and permitting lifecycle zoning, building permits, and utility interconnects.
  • Familiarity with GigaEnergy's modular component architecture

Benefits

  • Subsidized health, dental, and vision insurance
  • Equity (options) in a rapidly growing startup
  • Parental leave
  • Healthcare and Dependent Care Flexible Spending Accounts (FSA) or Health Savings Account (HSA)
  • Commuter benefits

Company info

  • A team of operators defining the future of AI infrastructure.
  • We recruit A-players from the most innovative companies in the world, and they choose Giga because the work here means more.
  • We are an in-office culture, velocity matters when you're building physical infrastructure, and the best decisions happen in the room. This role is based at GigaEnergy HQ with regular travel to active construction sites across the US.
  • we're looking for people who get things done.
  • We're not looking for perfect; we're looking for people who get things done.

Equal opportunity

  • Employer Statement
  • Giga Energy is an equal opportunity employer and is committed to fostering an inclusive and diverse workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Giga Energy complies with all applicable labor laws, including the California Fair Employment and Housing Act (FEHA) and other relevant state and federal regulations. We provide reasonable accommodations for qualified individuals with disabilities and encourage applicants who require accommodations during the hiring process to contact us.
  • Giga Energy is an equal opportunity employer and is committed to fostering an inclusive and diverse workplace.
  • We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.

This listing is sourced directly from Gigaenergy's careers page and normalized into a canonical job model.