Head of Technology Intelligence Ventures

• Own the end-to-end technical architecture of the platform - from large-scale network signal ingestion and processing through behavioral embedding generation feature store construction and zero-copy intelligence delivery to enterprise partners - ensuring the platform is production-grade built for household-scale throughput and designed for long-term extensibility across new signal sources and use cases.
• Lead the build of the platform's cloud-native data and application infrastructure - including ingestion and transformation pipelines ML/AI compute environments zero-copy partner access frameworks and a real-time agent-to-agent API layer that enables external AI systems (marketing agents commerce agents customer service agents) to query household-level intelligence and receive contextually grounded responses. Establish the engineering standards compute architecture and MLOps practices that will underpin the platform as it scales from initial build through general availability.
• Serve as the technical lead in strategic partner integrations with cloud data and AI platform providers ensuring each integration is architecturally differentiated and aligned with the platform's cloud-agnostic API-first design principles. Own the technical relationship with external development partners during the initial build phase and establish the governance frameworks that allow partner access without compromising the platform's data boundaries or competitive architecture.
• Architect and deliver a business-facing agentic intelligence interface - a natural language UI that allows non-technical marketers planners and business users to query household behavioral intelligence surface demand signals and take action without requiring data or engineering support. This layer must be grounded in the platform's proprietary embeddings and features designed for accuracy and trust and built to serve a broad range of enterprise user personas from day one of general availability.
• Build and manage a world-class engineering organization capable of competing for talent with the leading technology and data infrastructure companies. Define team structure hiring priorities and engineering culture - balancing internal team development with external development resources as the platform scales from initial build through a full production-ready commercially deployed product.

• Deep expertise across the full intelligence platform stack - including distributed data pipelines ML platform architecture embedding systems feature stores agent-to-agent API design and LLM-powered application layers - with demonstrated ability to architect and ship all layers as a coherent production-grade product
• Demonstrated experience architecting and operating consumer data intelligence or data product platforms underpinned by complex machine learning systems and built on modern cloud-native data infrastructure
• Hands-on proficiency with Snowflake (including Cortex Native Apps and data sharing frameworks) cloud data platforms (AWS Azure or GCP) and production ML/AI systems at scale
• Experience building agentic AI systems and LLM-powered product interfaces - including agent-to-agent APIs retrieval-augmented generation architectures and natural language UIs grounded in proprietary data - with strong product instincts around accuracy trust and user experience for non-technical enterprise audiences
• Proven ability to translate complex technical architecture into clear executive and partner-facing communications; comfortable engaging at the C-suite level and in strategic partner negotiations with hyperscalers and technology platforms
• Strong understanding of privacy-preserving data architecture including differential privacy de-identification techniques zero-copy and clean room frameworks and the regulatory landscape governing consumer behavioral data
• Track record of recruiting and developing exceptional engineering talent in competitive markets; experience building high-performance teams from early-stage through scaled operations
• Experience managing external development partners and outsourced engineering resources alongside an internal team in a fast-moving build-from-scratch environment
• Ability to operate in an ambiguous early-stage environment while maintaining rigorous engineering standards and delivering against aggressive milestones
• Experience building externally-consumed data or intelligence platforms - including developer-facing APIs data marketplace integrations or partner-accessible data products - with strong instincts around developer experience access governance and commercial platform design

• Bachelor's Degree in Computer Science Software Engineering Electrical Engineering or a related technical field

• Master's degree or PhD in Computer Science Machine Learning Data Engineering or a related technical discipline

• Experience leading consumer data intelligence AI/ML platform or data product engineering organizations - 10 years
• Engineering leadership and team-building experience including managing senior technical staff - 7 years

• Senior technical leadership at a recommender systems identity resolution data infrastructure behavioral intelligence or AI-native product company (e.g. Amazon Netflix Uber LiveRamp Snowflake Databricks Segment Palantir Glean Salesforce Einstein or equivalent) ideally with experience building both a data intelligence layer and a partner-facing or user-facing application layer from the ground up - 15 years

• In-office position preferably based in New York City NY
• Travel as required for partner engagements executive meetings and industry events

What We Do

Our Product and Technology team creates develops and operates the nation’s fastest mobile service most reliable internet service most viewed live TV app and the most advanced WiFi serving nearly 100 million users and 500 million devices. We are transforming the next era of connectivity and entertainment experiences together.   The experience within Spectrum’s Product and Technology team is unmatched and there are opportunities to grow your career as a designer architect engineer developer operator or data scientist.  We are creative disciplined hard-working complex-problem solvers that believe in collaborating to deliver the highest quality customer experience.

Why Work With Us

At Spectrum we continually refine technology process and structure. We are committed to delivering a superior network infrastructure the most competitive products and highly rated customer experiences. Our talented team of experts deploys technology solutions and builds systems and tools for our employees to provide exceptional operations.

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