Consumer Edge (CE) is a leading consumer alternative data firm founded in 2009. Specializing in providing insights as a service to global investors, hedge funds, private equity, and corporates, CE leverages data, research, technology, and partnerships to uncover consumer insights. The company offers next-generation tools designed to address complex questions on consumer behavior, distinguishing itself through its innovative approach and commitment to excellence.
Open Positions
Product Manager, Location Analytics
4-8+ years product mgmt exp, 3+ in store location analytics. Strong geospatial analytics knowledge and B2B/SaaS platforms familiarity. Bachelor's degree required
Staff Software Engineer (NLP)
3+ years ML experience, NLP focus (entity resolution). Proficiency in Python, cloud services (GCP, AWS, Azure), and solid software engineering. Strong communication skills
Principal Software Engineer
15+ years of backend systems experience, proficiency in Python/SQL, and strong ability to work in a distributed team. Focus on building robust, testable code with AI API/data pipeline experience
Senior Software Engineer
7+ years of ML engineering experience. Proficiency in Python & ML libraries. Hands-on with Vertex AI, BigQuery, etc. Strong CI/CD skills required
Staff Software Engineer
10+ yrs exp. in Software or Platform Engineering. Proficient in Go/Rust/TypeScript and Terraform/Pulumi. Cloud infrastructure expertise and SRE knowledge required
Staff Software Engineer
10+ yrs backend experience. Python/Go/Scala fluency. Cloud infrastructure knowledge & IaC experience preferred
Director, Product Marketing
8-12 years of product marketing experience in B2B software, data, or analytics, strong cross-functional leadership, and experience with marketing automation and enablement platforms
Insights Associate - Public Investor
BS or BA in a related field, 2+ years of experience in corporate, sell-side or buy-side equity research, management consulting, or roles focused on using data to analyze business trends and solve customer challenges