Engineering Manager

This Engineering Manager role leads the development of highly scalable platform services and database connectors for mission-critical data pipelines. The manager will own foundational systems connecting to modern data warehouses like Snowflake, BigQuery, and Databricks, as well as Data Lakes like Apache Iceberg. This role involves shaping the platform vision, driving technical excellence, and collaborating with cross-functional stakeholders.

This role leads an engineering team building full-stack applications that bring AI into critical sectors like pharmaceuticals, finance, and healthcare. Responsibilities include managing backend and frontend engineers, transforming product requirements into technical roadmaps, and ensuring secure, reliable, and auditable systems. Requires experience with AI-first products and agentic systems.

This leadership role oversees GeoEdge's security research operations, focusing on threat intelligence and ad fraud detection. The position leads research efforts to combat malicious ads and cyber threats, requiring deep expertise in cybersecurity research and AdTech security.

This role focuses on developing and maintaining identity resolution systems that link customer data across channels while ensuring privacy compliance. The engineer will work on scalable data pipelines and algorithms to match and merge identities, collaborating with data science and product teams to improve accuracy and performance.

This role supports the Hive Models team in defining product requirements and implementation, collaborating with ML, Core Infrastructure, and Product teams. The APM will contribute to the development of cloud-hosted deep learning models and build a foundation for future product ownership.

This role supports the Data Operations team in developing proprietary AI models by managing projects that deliver high-quality training and testing datasets. The analyst will analyze priorities, metrics, and deliverables, playing an essential part in the product development lifecycle within a fast-growing startup.

This role involves working directly with customers to deploy and customize Hive's AI solutions, often integrating them into client environments. The engineer will build and adapt software to meet specific customer needs, requiring strong problem-solving and communication skills.