Director, Product Management - Data Transformation (Frontier Engineering)

Directs product management for an AI data platform, defining product vision, roadmap, and strategy. Collaborates with engineering and data science teams to deliver innovative data solutions for AI applications.

Leads product management and data transformation initiatives, driving the strategic roadmap for data-driven products and analytics capabilities. Requires experience in product leadership and data strategy.

This Director-level role leads product management and data transformation initiatives at AMC Networks, focusing on leveraging data to drive product strategy and operational improvements. The role requires strategic leadership in aligning data capabilities with business objectives.

The Director of Product Data Architecture designs and oversees the data architecture for product analytics, ensuring scalable and reliable data pipelines. This role involves collaborating with product and engineering teams to define data standards, implement data governance, and enable advanced analytics across the product portfolio.

This Director of Engineering role leads the Frontier Engineering team in Sydney, focusing on exploring and building next-generation AI and data technologies. The director will set the technical vision, build a high-performing engineering team, and drive innovation in areas like agentic AI and advanced data processing. This role requires a strong track record of technical leadership and a passion for frontier technology.

This role manages AI/ML consulting engagements, leading a team to deliver data and AI solutions on the Snowflake platform. The Consulting Manager is responsible for scoping projects, guiding clients on AI/ML best practices, and ensuring successful business outcomes. This position requires deep expertise in AI/ML technologies and the ability to translate business challenges into technical solutions.

This role is a Forward Deployed Engineer within the Frontier Engineering team, embedding with customers to design and build cutting-edge data and AI solutions on the Snowflake platform. The engineer works directly with clients to understand business challenges, develop prototypes, and implement scalable data pipelines. This role requires strong software development skills and expertise in AI/ML technologies to drive customer success.