SmartRent is hiring for work from home roles

SmartRent

6 Remote Job Openings at SmartRent

Data Scientist

SmartRent · Full Time · 4 days ago
SmartRent
🌎 United States ⭐ 2-5 yrs exp 💼 Software Development
Design, build, and validate supervised and unsupervised machine learning models to improve operational outcomes and product features. Collaborate with cross-functional teams to integrate these models into production environments and translate business problems into analytical solutions.

Software Development Engineer in Test

SmartRent · Full Time · 2 months ago
SmartRent
🌎 United States ⭐ 2-5 yrs exp 💼 Software Development
Design, develop, and maintain automated test frameworks and integrate them into CI pipelines to ensure product reliability. Collaborate with developers to embed automation into the development lifecycle and execute comprehensive test strategies across APIs and platforms.

National Sales Director (West)

SmartRent · Full Time · 3 months ago
SmartRent
🌎 United States ⭐ 5-10 yrs exp 💼 Sales
The National Sales Director is responsible for driving revenue growth by selling hardware and software solutions to enterprise-level clients within the West territory. This role involves prospecting new business, managing complex deal cycles, and cultivating long-term relationships with key stakeholders.

Channel Sales Director

SmartRent · Full Time · 4 months ago
SmartRent
🌎 United States ⭐ 5-10 yrs exp 💼 Sales
The Channel Sales Director is responsible for developing and executing the annual channel sales strategy to drive indirect revenue growth. They will manage partner relationships, oversee partner programs, and ensure alignment across sales, marketing, and operations teams.

Senior Vice President, Information Technology - Enterprise Data and AI

SmartRent · Full Time · 5 months ago
SmartRent
🌎 United States ⭐ 10+ yrs exp 💼 Software Development
This senior role is responsible for establishing the vision and driving the execution of a product-grade, enterprise data and AI platform to accelerate business outcomes across data engineering, analytics, and AI. The leader must partner with Product, Engineering, and Business teams to embed data and intelligence directly into products, workflows, and decision-making processes.