Through the use of first-party data collection and machine learning, Northbeam delivers actionable insights to DTC and ecommerce brands that result in a clear picture of your customers’ buying behavior.
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Full company description
Through the use of first-party data collection and machine learning, Northbeam delivers actionable insights to DTC and ecommerce brands that result in a clear picture of your customers’ buying behavior.
LinkedIn followers
7,276
People associated on LinkedIn
91
Reported office locations
San Francisco, US
Business categories
Information Technology
Machine Learning
Other recorded names
Northbeam
Specialties
marketing analytics
marketing attribution
direct to consumer
and ecommerce
Profile identifies a recruitment agency
No
Reported total investment
29,999,976
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Industry
Technology, Information and Internet
Size
11-50 employees
Headquarters
San Francisco
Organization type
Privately Held
Year founded
2019
Specialties
marketing analyticsmarketing attributiondirect to consumer and ecommerce
Northbeam has 8 open jobs in Canada as of November 6, 2026.
8+ YOECandidates need 8+ years building distributed backend systems and APIs in Python, plus experience owning system architecture at scale. Working React and TypeScript knowledge and mentoring experience are also expected.
Python, Microservices, Process data, Problem solving, Analyse issues, React
8+ YOECandidates need 8+ years of software or data engineering experience, including owning large-scale ingestion or ETL architecture. They need deep Python, strong SQL, cloud warehouse experience, and proven technical leadership.
3+ YOECandidates need 3+ years of Python backend, API or data-processing experience, exposure to distributed systems, and experience turning product requirements into production code. Working frontend skills in React and TypeScript are needed, along with strong fundamentals and a generalist, fast-moving mindset.
3+ YOECandidates need 3+ years in data, software or integration engineering, solid Python, and experience with REST APIs and SQL. Exposure to a cloud data warehouse, Airflow-style orchestration and Docker is expected.
5+ YOECandidates need 5+ years building distributed backend systems and APIs in Python, plus multiple years of system architecture experience. Working frontend skills in React and TypeScript are needed, along with strong problem-solving on ambiguous product problems.
5+ YOECandidates need 5+ years in data or integration engineering, strong Python, and experience with REST, GraphQL and webhooks. They also need SQL and BigQuery skills, orchestration tools such as Airflow, and familiarity with Docker and Kubernetes.
5+ YOECandidates need 5+ years of TypeScript experience across frontend and backend, 3+ years with React, and experience building REST and GraphQL APIs. They also need SQL and BigQuery skills and the ability to work independently and deliver production-ready code.
5+ YOECandidates need 5+ years deploying data science or machine learning systems in production, strong statistics and causal inference, and production-quality coding. A bachelor's degree in a quantitative field is required, with MS or PhD preferred.
Customer service, Software development, Problem solving, Troubleshoot, Computer science, Statistics