Senior Talent Acquisition Partner, Operations
AlmaSalary not specified
$135,000 – $253,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Cloud Computing, Data CentersIndustries
Requirements
- 8+ years of full-cycle recruiting experience with at least 3 years focused on operations, supply chain, logistics, or data center roles
- Prior experience recruiting at a high-growth startup, technology company, or agency servicing similar companies
- Track record of successfully hiring for roles such as: Data Center Operations Engineers/Technicians, Power and Cooling Infrastructure Specialists, Supply Chain Managers and Analysts, Warehouse and Materials Managers, Facilities Engineers
- Master advanced sourcing techniques across LinkedIn Recruiter, industry-specific job boards, operations communities, and specialized platforms for facilities and supply chain professionals
- Excel at building talent pipelines in competitive markets, particularly in major tech hubs with significant data center presence
- Strong ability to assess candidates' hands-on operational experience and problem-solving capabilities
- Experience with modern ATS platforms (Ashby preferred)
Responsibilities
- Lead end-to-end recruiting for hyper-growth AI infrastructure operations, prioritizing exceptional hiring manager partnerships and candidate experiences that reflect operational excellence culture
- Source, screen, and evaluate top-tier talent across data center operations, power infrastructure, supply chain management, and warehouse/materials management roles
- Partner with Operations leadership to develop and execute aggressive hiring strategies including competitive intelligence, talent mapping, and analysis of the data center and supply chain talent markets
- Navigate complex operational interviews and guide decision-making processes across distributed teams of interviewers and hiring managers
- Leverage recruiting analytics and market insights to optimize hiring velocity, quality, and conversion rates in the competitive operations talent market
- Recruit for specific focus areas: Data Center Operations (engineers managing server deployment, rack and stack, DCIM software, network topology, cross-functional coordination); Power & Infrastructure (electrical systems, cooling, capacity planning, critical facility management); Supply Chain & Logistics (procurement, inventory control, vendor relationships, materials management, deployment planning); Compliance & Quality (supply chain compliance, quality assurance, regulatory requirements)
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the salary range for the Senior Recruiter - Operations position?
The salary range is $135K - $253K.
Is this a remote, hybrid, or in-office role?
This is a hybrid role requiring presence in the San Francisco or San Jose office 4 days per week, with Tuesday designated as the work-from-home day.
What key skills are required for this Operations Recruiter role?
Key skills include leading end-to-end recruiting, sourcing and evaluating talent in data center operations, power infrastructure, supply chain, and compliance, partnering with leadership on hiring strategies, navigating complex interviews, and leveraging recruiting analytics.
What is the company culture like for this role?
The role is part of a lean, high-impact People Team focused on building world-class teams, with an emphasis on exceptional hiring manager partnerships, candidate experiences reflecting operational excellence, and scaling AI infrastructure.
What makes a strong candidate for this Senior Recruiter position?
A strong candidate is strategic and results-driven, with expertise in recruiting for data center operations, power infrastructure, supply chain, and compliance roles, plus the ability to execute aggressive hiring strategies and optimize processes using analytics.
Lambda
Cloud-based GPU services for AI training
About Lambda
Lambda Labs provides cloud-based services for artificial intelligence (AI) training and inference, focusing on large language models and generative AI. Their main product, the AI Developer Cloud, utilizes NVIDIA's GH200 Grace Hopper™ Superchip to deliver efficient and cost-effective GPU resources. Customers can access on-demand and reserved cloud GPUs, which are essential for processing large datasets quickly, with pricing starting at $1.99 per hour for NVIDIA H100 instances. Lambda Labs serves AI developers and companies needing extensive GPU deployments, offering competitive pricing and infrastructure ownership options through their Lambda Echelon service. Additionally, they provide Lambda Stack, a software solution that simplifies the installation and management of AI-related tools for over 50,000 machine learning teams. The goal of Lambda Labs is to support AI development by providing accessible and efficient cloud GPU services.
San Jose, CaliforniaHeadquarters
2012Year Founded
$372.6MTotal Funding
DEBTCompany Stage
AI & Machine LearningIndustries
201-500Employees
