Senior AI Data & Analytics Engineer II

Role overview

Lead development of the data and analytics foundation used by marketing and go-to-market teams for reporting, automation, and AI-enabled products. The role combines roadmap input with hands-on data engineering, semantic modeling, cross-team delivery, and technical leadership. The position is open to candidates residing in the United States.

Responsibilities

- Help shape a multi-quarter roadmap for marketing data and AI in partnership with analytics and data science colleagues. - Own data infrastructure including ingestion and transformation pipelines, curated warehouse tables, and models supporting segmentation, targeting, and analytics. - Develop semantic layers, data dictionaries, and documentation that make trusted metrics usable in self-service and conversational analytics. - Turn open-ended requests from Marketing, Sales, and R&D into requirements and scalable data products, influencing decisions through analysis and clear reasoning. - Lead cross-team initiatives from design through delivery, managing dependencies while maintaining data quality and reliability. - Set technical direction through code review and engineering practices, mentor colleagues, and develop AI-enabled tools, agents, and automated workflows with appropriate integrations and evaluation.

Requirements

- The source describes a senior technical lead role requiring strong experience building and owning data infrastructure and delivering complex initiatives across teams. - Ability to translate ambiguous business needs into clear technical requirements and work with limited dedicated project management support. - Experience designing reliable pipelines, well-modeled data, and documented metrics for analytics and business use. - Strong technical judgment, code review skills, and the ability to mentor engineers and analysts. - Ability to assess AI-generated code and deliver dependable AI-enabled products and automation.

Benefits and work setup

A flexible work model supports office, hybrid, or remote work where operational needs allow. The source also mentions professional development support, health coverage, and parental leave.