You will develop high-fidelity designs from initial concepts and raise the visual bar across the platform by refining typography, layout, and data visualizations. You will also partner with product, engineering, and media teams to build and extend a scalable design system for complex, data-heavy interfaces.
You will scale incrementality and measurement products by translating complex marketing questions into data science solutions for customers. This involves analyzing model results, building diagnostic tools, and acting as a technical partner to communicate actionable insights to stakeholders.
You will lead the end-to-end technical implementation and onboarding process for new customers, acting as the primary guide from kickoff to go-live. Additionally, you will manage project timelines, configure product settings, and collaborate with internal teams to resolve technical blockers.
You will build and maintain backend services and frontend components to deliver complete product experiences, including AI-powered workflows and data infrastructure. You will collaborate with cross-functional teams to scale the platform and contribute to the development of experimentation and incrementality features.
You will build and maintain reliable data pipelines and APIs to ingest and transform data from various sources. You will also collaborate with product and engineering teams to improve integration platforms and ensure data freshness through monitoring and alerting.
You will own the architecture of the ingestion and integration platform, setting technical standards for data freshness and reliability. You will lead design across team boundaries and mentor engineers to ensure the platform scales effectively.
You will architect and scale the company's incrementality product and near-real-time data infrastructure while leading technical direction across the stack. Additionally, you will mentor team members and collaborate with data scientists and product managers to build AI-powered workflows.
You will own the technical health of customer accounts by managing configurations, data quality, integrations, and tracking pipelines. You will also act as a technical partner to the Customer Performance team to diagnose issues and ensure reliable data flow for clients.
You will manage a book of enterprise business, ensuring customers successfully integrate and derive value from the Northbeam platform. Additionally, you will act as the primary point of contact for technical support, account health monitoring, and cross-functional collaboration with internal teams.
The Senior Media Strategist acts as a consultative advisor to help clients leverage the Northbeam platform for actionable marketing insights. They are responsible for conducting growth audits, managing budget allocations, and translating complex data into strategic narratives for clients.
You will design and implement scalable backend systems and data infrastructure while contributing to frontend components to deliver complete product experiences. You will collaborate with cross-functional teams to build AI-powered workflows and expand the company's experimentation platform.
Design and deliver high-quality fullstack web solutions and own major product features from design to launch. Collaborate with cross-functional teams to build a scalable marketing intelligence dashboard and optimize platform performance.
Build, deploy, and maintain production systems for measurement products including MMM and Recommendation Systems. Translate statistical methodologies into scalable customer-facing capabilities while collaborating across engineering and product teams.
Build, deploy, and maintain production systems for measurement products such as MMM and Incrementality. Translate statistical methodologies into scalable customer-facing capabilities while collaborating across engineering and product teams.
Design and implement scalable, high-performance data pipelines to ingest and transform data from various sources. Build and maintain secure, tenant-aware APIs and implement observability and monitoring to ensure data reliability.
Design and implement scalable, high-performance data pipelines to ingest and transform data from various sources. Build and maintain secure, tenant-aware APIs and implement observability and monitoring to ensure data reliability.
