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Lightning AI

Cloud-based AI development and deployment platform

Senior Product Recruiter

Technical RecruitingPosted on Nov 10
Full-time

About the Job

Requirements

  • At least 5 years of full-cycle recruiting experience.
  • Experience recruiting Product Managers, Product Designers, or related product positions.
  • Experience partnering with Product or Design hiring managers to define role requirements.
  • Knowledge of product management or product design responsibilities sufficient to support role-specific recruiting.
  • Experience developing sourcing strategies and conducting talent market research.
  • Experience analyzing recruiting funnel metrics and recommending improvements.
  • Experience maintaining structured interview processes and consistent evaluation criteria.
  • Ability to manage multiple recruiting searches and communicate priorities and progress to stakeholders.

Responsibilities

  • Manage full-cycle recruiting for Product Management, Product Design, and related roles.
  • Partner with Product and Design leaders to define responsibilities, role requirements, and interview criteria.
  • Develop sourcing strategies and candidate pipelines informed by product talent market research.
  • Track pipeline conversion, sourcing effectiveness, time-to-hire, and offer acceptance.
  • Coordinate structured interview processes and documented, job-related candidate assessment criteria.
  • Provide stakeholders with market insights, pipeline data, and recommendations on hiring priorities.
  • Manage candidate communication, interview coordination, and offer processes.
  • Identify and implement improvements to recruiting workflows, reporting, and technology use.

About the Company

Lightning AI

Cloud-based AI development and deployment platform

Lightning AI builds a cloud-based platform for AI development that covers the full lifecycle from ideation to deployment. It provides a browser-based environment called AI Studio, a virtual laptop with persistent storage and configurable environments, enabling users to code on CPUs, debug on GPUs, and scale to multi-node deployments without local setup. The platform supports tools like PyTorch Lightning, Fabric, Lit-GPT, and torchmetrics to help data scientists and developers prototype, train on GPUs, and optimize models. Pricing is subscription-based, targeting enterprises and individual developers who need robust, scalable AI development capabilities. The goal is to streamline AI creation and deployment by simplifying access to compute, tooling, and scalable infrastructure in one cloud-based workspace.

Company size
201-500
Company stage
Late Stage VC
Total funding
$108.6M
Headquarters
New York City, New York
Founded
2015

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