Gigaenergy
People Operations Generalist
Houston · Full-time
Sponsorship not specifiedDetected 2 days ago
NLPHREmployee RelationsHRISOnboardingEmployment LawCommunicationOrganizational Skills
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
- As a People Operations Generalist, you'll partner closely with the People Operations Manager to drive the day-to-day execution of our People Operations function while helping build scalable systems, processes, and programs that support our growing team.
- You'll have a front-row seat to the People Operations function at Giga, helping shape the systems, processes, and employee experience that will support our next phase of growth.
- Success in this role means creating an exceptional employee experience through operational excellence, while enabling the People Ops Manager to focus on building scalable programs, partnering with leaders, and driving the long-term strategy of the People Operations function.
- You'll also travel periodically to our transformer manufacturing facility during onboarding weeks to co-facilitate Giga's two-day new hire onboarding program and give employees a firsthand understanding of how Giga builds the infrastructure powering AI.
- Partner with the Talent team to seamlessly transition candidates into new hires and launch the onboarding process following offer acceptance.
- Maintain employee records, HRIS data, and personnel files with accuracy and confidentiality.
- Employee Support & HR Operations
Requirements
- Bachelor's degree in Human Resources, Business Administration, or a related field (or equivalent practical experience).
- 2-5 years of experience in Human Resources or People Operations.
- Experience supporting multiple HR functions across the employee lifecycle.
- Experience working within an HRIS platform.
- Strong understanding of HR operations and employment law fundamentals.
- Proficiency with Google Workspace, including Google Sheets and Docs.
- Experience in a high-growth startup environment.
- Experience with Rippling or another modern HRIS.
- Experience working within an HR ticketing or service delivery model.
- Experience creating dashboards, trackers, or operational reporting.
Compensation
- Process employee lifecycle changes, including promotions, transfers, manager changes, compensation updates, and offboarding.
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.
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.
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This listing is sourced directly from Gigaenergy's careers page and normalized into a canonical job model.