Lily AI

HQ
Mountain View, California, USA
82 Total Employees
Year Founded: 2015

Jobs at Similar Companies

Similar Companies Hiring

Virtual Reality • Generative AI • Business Intelligence • Big Data Analytics • App development • Analytics • Agriculture
Minot, ND
4 Employees
Marketing Tech • Machine Learning • Digital Media • Big Data Analytics • Analytics • Agency • AdTech
3 Offices
68 Employees
Renewable Energy • Machine Learning • Information Technology • Energy • Automation • Analytics
Austin, TX
234 Employees
Jobs at Lily AI

Search the 4 jobs at Lily AI

Recently posted jobs

Artificial Intelligence • Computer Vision • eCommerce • Retail • Analytics • Generative AI
The Staff Software Engineer will design and implement scalable APIs and services, mentor team members, engage in architectural discussions, and ensure operational health of the platform. This role involves cross-functional collaboration to build end-to-end solutions that enhance user experiences.
18 Days Ago
USA
Remote
Artificial Intelligence • Computer Vision • eCommerce • Retail • Analytics • Generative AI
The Principal Product Manager will develop advertising effectiveness strategies, lead Google Ads integrations, conduct market research, create product roadmaps, and collaborate with cross-functional teams to ensure product success and measurement across Google platforms.
18 Days Ago
USA
Remote
Artificial Intelligence • Computer Vision • eCommerce • Retail • Analytics • Generative AI
As an Account Executive, you will prospect large retailers, develop sales strategies, manage sales cycles, negotiate deals, and leverage internal resources to close revenue. You'll need to understand customers' business objectives and maintain knowledge of the retail landscape. Proven experience in selling SaaS applications to enterprise customers is required.
Artificial Intelligence • Computer Vision • eCommerce • Retail • Analytics • Generative AI
As a Staff Machine Learning Engineer at Lily AI, you will design scalable machine learning systems, optimize deep learning models, and implement best practices in ML Ops. You'll collaborate with various teams to define the ML roadmap, improve system performance, and develop tools to enhance team productivity. The role emphasizes automating workflows and transitioning prototypes to production-ready systems.