Join our dynamic team as an HR Generalist. You'll play a key role in building our foundation, working with cutting-edge technologies, and collaborating with leadership. This hands-on role is perfect for a self-starter who thrives in a fast-paced startup environment.
We are seeking an operational, detail-oriented HR Generalist to partner directly with our HR Manager in scaling and supporting our workforce operations. In this high-impact role, you will be the operational engine behind our core HR processes—taking primary ownership of onboarding new hires, managing leave administration, and executing precise HR system data entry. If you thrive in a fast-paced tech environment and enjoy creating efficient, scalable people operations, this role offers a direct opportunity to shape our culture and employee experience. Your key responsibilities are as follows:
- Own and streamline the end-to-end employee onboarding process, from pre-boarding logistics to leading new hire orientation.
- Maintain complete accuracy of employee records, handling all daily HR data entry across our systems.
- Utilize advanced Microsoft Excel capabilities to track headcount, generate HR metrics, and support reporting for leadership.
- Ensure benefit enrollments are completed and reflected in appropriate systems.
- Support the processing of payroll through timesheet and data entry validation in payroll system.
- Support the life cycle of talent acquisition, including scheduling.
- Facilitate structured offboarding process and ensure seamless document completion.
- Process the leave administration, ensuring full compliance with California labor laws and maintaining accurate leave documentation.
- Work with the HR Manager to address employee relations inquiries and support training programs.
- Assist in compensation reviews, job evaluations, and ongoing company policy updates.
- Performs other related duties as assigned.
Requirements
- This position requires access to export-controlled information. Employment is contingent upon the applicant being a U.S. person as defined by 8 U.S.C. § 1324b(a)(3).
Qualifications
- Experience: Minimum of 3 years of related HR experience.
- Education: Bachelor’s degree in Human Resources Management, Business Administration, or a related field (or equivalent practical experience).
- Hands-on experience with HR platforms (e.g., ADP, Workable) and high proficiency in Excel for data manipulation and auditing.
- Working knowledge of California employment regulations, multi-state compliance, and state-mandated leave programs.
- High ownership mindset, exceptional discretion with confidential data, and strong communication skills. exceptional discretion with confidential data, and strong communication skills.
Benefits
The expected annual salary range for this position is $80,000-$120,000.
As a full-time employee, you will be eligible for Monarch’s comprehensive benefits package, which includes:
- Medical, Dental, and Vision insurance
- Fidelity 401(k) plan with 4% employer matching
- 160 paid time off (PTO) hours per year
- 13 paid company holidays
- 9/80 work schedule (every other Friday off)
Monarch Quantum is proud to be an equal opportunity employer and does not discriminate on the basis of race, color, citizenship status, national origin, ancestry, sex, sexual orientation, age, religion, creed, physical or mental disability, medical condition, marital status, veteran status or any other characteristics protected under applicable federal, state and local laws.
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine



