Alector
People Operations Specialist (Part Time/Temporary)
South San Francisco, CA · Part-time
Sponsorship not specifiedDetected 116 days ago
LLMsRecruitingHRISEmployment LawCollaboration
About the role
- You will be a key driver in transforming how work gets done-using AI, large language models (LLMs), and automation tools to improve efficiency, accuracy, and scalability.
- You will serve as a trusted front-line resource for employees while partnering cross-functionally with IT, Payroll, Finance, Facilities, and Talent Acquisition.
- Evaluate, redesign, and automate workflows using AI, LLMs, and integration tools to significantly reduce manual effort and increase accuracy. - Elevate operational excellence!
Responsibilities
- Deliver exceptional employee support!
- Partner with IT, Payroll, Finance, Facilities, and Talent Acquisition to optimize integrations and improve data flows.
- Drive high-impact improvements!
Requirements
- You are a proactive self-starter who asks thoughtful questions and seeks effective solutions.
- You are an active user of large language models (LLMs) with a strong interest in advancing AI-driven workflows
- you have hands-on experience applying automation tools to real business processes.
- You have experience serving as a front-line resource for employees and resolving issues end-to-end.
- You bring an analytical mindset, with experience in data-driven or operational roles and an interest in People/HR functions.
- You have demonstrated success managing cross-functional projects independently with strong attention to detail.
Nice to have
- 4+ years of experience in People Operations or HR in a highly execution-focused environment.
- Familiarity with California employment law and operating in a regulated, publicly traded environment.
- Comfort working in a fast-paced environment with evolving priorities and opportunities to innovate.
Benefits
- Serve as a front-line resource for benefits and People Operations inquiries, resolving issues end-to-end with speed, clarity, and care.
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This listing is sourced directly from Alector's careers page and normalized into a canonical job model.