Product Analytics Engineer at Lightning AI

San Francisco, California, United States

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$115,000 – $170,000Compensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, SoftwareIndustries

Requirements

Candidates should possess a Bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline, and have at least 3 years of experience in product analytics or a similar role. Strong SQL skills and experience with data warehousing concepts are essential, along with familiarity with data visualization tools like Looker.

Responsibilities

The Product Analytics Engineer will build and optimize data pipelines to efficiently ingest, transform, and store large datasets for analysis, analyze product usage data to generate actionable insights that inform product development and sales strategies, analyze enterprise product usage patterns to extract actionable insights that inform prospecting and ICP development, answer strategic questions related to customer usage and identify opportunities for growth, create dashboards, reports, and visualizations in tools like Looker to communicate findings effectively to stakeholders, and collaborate with Product, Sales, and other teams to identify key metrics and establish data-driven processes.

Skills

SQL

Data Pipelines

ETL

Data Visualization

Looker

Data Analysis

Product Data Analysis

Sales Data Analysis

Communication

Collaboration

Lightning AI

AI development platform for coding and deployment

About Lightning AI

Lightning AI provides a platform for developing artificial intelligence applications, supporting users throughout the entire AI lifecycle from initial ideas to final deployment. The platform is accessible via web browsers, allowing developers and data scientists to easily code, prototype, and train AI models using GPUs without needing extensive setup. It operates on a subscription model, offering a cloud-based AI Studio that functions like a virtual laptop with persistent storage and environments. This setup enables users to code on CPUs, debug on GPUs, and scale their projects across multiple nodes. Key features of the platform include tools like PyTorch Lightning, Fabric, Lit-GPT, and torchmetrics, which help in optimizing and scaling AI models. Lightning AI aims to provide a user-friendly and comprehensive solution for both enterprises and individual developers looking to enhance their AI development capabilities.

New York City, New YorkHeadquarters

2015Year Founded

$105.6MTotal Funding

LATE_VCCompany Stage

AI & Machine LearningIndustries

51-200Employees