About Lightbulb.ai:

Lightbulb.ai is an emotion ai & engagement analytics platform that uses computer vision, speech transcription and audio analysis to generate real time emotion ai & engagement analytics for remote interactions. Lightbulb’s emotion ai platform is VC-tool agnostic and browser-based & operates both via an integration-based model with APIs & SDKs & a stand-alone web application.

With 4 patents in the pipeline and millions of faces scanned across geographies & ethnicities, Lightbulb’s face-detection, emotion-recognition & engagement mapping capabilities display high accuracy and compare favorably with industry giants. With a value-adding application layer for insights, Lightbulb provides real-time alerts & detailed emotion & engagement maps that take visual, audio & speech data into account for a holistic view of the user’s emotional state during a remote interaction.

www.thelightbulb.ai

Education: B.Tech / B.E./ M.Tech / Graduate+MBA 

Prior Work Experience: 6-10 years full-time experience in marketing, corporate strategy, 

business development, data analytics, or consumer insights roles. 

Job Responsibilities: 

∙Data visualization, insights, and reports of emotion ai data generated for various use 

cases / clients. Lightbulb uses artificial intelligence (AI) to identify emotions, sentiments 

and engagement using singular or multimodal aspects of computer vision, conversation, 

speech, text and/or tone. The candidate should be able to data wrangle and come out 

with meaningful actionable insights in form of Charts, Presentations, and reports. 

∙Handle Market Research projects for clients using the Lightbulb platform   

Qualifications: 

∙Experience conducting primary research with third-party research partners (e.g., Nielsen, 

PSOS) 

∙Deep industry experience in one of the following sectors: Education, Retail, Media & 

Entertainment, Gaming, CPG, Travel. Knowledge of digital advertising solutions (Search, 

Display, Video, Social) 

∙Advanced analytical skills, at ease working with large datasets. Intermediate SQL 

knowledge. 

∙Advanced spreadsheet software knowledge, Power BI, Tableau etc 

∙Outstanding problem-solving skills, ability to structure hypotheses and to generate 

insights that influence business decisions. 

∙Proficiency in R, Python 

∙Excellent communication skills, both written and verbal