The Opportunity 

Join us in building the next generation of Consumer Research. 

Consumer Pulse is at the heart of consumer intelligence. We work with rich data sets (500 million+) such as news media, social media, consumer complaints, product reviews, and many more.  We also use modern data engineering and data science techniques to solve large scale problems that have meaningful impact to P&G’s consumers. 

Our vision is to empower EVERYONE to create superior products by transforming listening signals into FRICTIONLESS & ACTIONABLE intelligence.  We do this by capturing & driving clarity of social signals across key OU driven business cases.  This enables our users to create value by earning influencer advocacy, growing the reputation of P&G and our brands, and discovering actionable insights. 

Responsibilities 

Consumer Pulse is a portfolio of AI-powered products ranging from Brandwatch (Social Media Management / Listening / News), Voice of Consumer (Product Reviews / Consumer Complaints), SocialLens (Advanced AI Insight Extractor), Digital Consumer Testing (Consumer Surveys), and more. 

As the Lead Software Engineer, you will guide the technical direction, mentor engineers, and collaborate cross-functionally to deliver high-quality, scalable software that meets product goals.  You will be working closely with various Product Managers, Data Scientists, AI Engineers, Data Engineers, operations, vendors, and our Data Analysts.  Key responsibilities include: 

• Provide technical leadership and guidance to the Scrum team – can include Java/React/Python Engineers, Data Engineers, analysts, and/or AI Engineers 

• Transform and optimize our current Software Engineering processes and practices 

• Design, build, and maintain our data driven web apps and reporting solutions 

• Implement data integration solutions, including publishing to company data lake

• Optimize for cost & performance 

• Obsess over data quality 

• Support, Monitoring & Troubleshooting 

• Work with the Program Manager to define delivery timelines 

• Documentation – processes, architectures, standards 

• Coach other Front End, Back End, and Data Engineers, including vendors 

Other responsibilities also include: 

• Solution Architecture and Design 

• Application Management (incl. app. registration) 

• Tech SPOC for: Architects, Info sec, Cloud, Platform, Purchasing, Legal, and Data Science 

• Build deep domain expertise 

• Infrastructure requests and sizing (via. cloud COE)  

• Information Security (incl. iRisk) 

• Engineering vendor management