Raptive

1 month ago

Head of Intelligence Products

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Lead the strategy, architecture, and technical execution of a modern data platform that powers internal intelligence, AI systems, and external B2B data products. Own rights-aware, provenance-rich, AI-ready data foundations including knowledge graphs, semantic layers, and enterprise-grade APIs. Define ingestion-to-activation operating models, ETL/ELT pipelines, governance, and access controls, then partner with AI, product, engineering, and commercial teams to productize and monetize intelligence via developer and partner integrations.

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Administration & Executive Assistance

Seniority: Sr. Director level

Key Responsibilities

•Define and lead enterprise product data strategy, architecture, and operating model.
•Shape and steward the enterprise product data platform across ingestion, storage, transformation, orchestration, governance, access, and activation.
•Evaluate and select core technologies across warehousing/lakehouse, orchestration, graph/vector databases, metadata tooling, and ML/AI infrastructure.
•Design semantic foundations (ontology/knowledge graph), rights/provenance data models, and governed access control for external products.
•Partner with product, engineering, and commercial leadership to productize and commercialize B2B offerings including APIs, MCP-compatible services, developer tools, and licensing models.

Key Requirements

•10+ years in data engineering, data architecture, platform engineering, or related leadership roles.
•Experience building and scaling cloud-based data platforms in complex, high-volume environments.
•Deep expertise in entity resolution and canonical entity modeling (identity graphs, deduplication, taxonomy design).
•Strong cloud data architecture skills, including Snowflake (or similar), graph databases, vector stores, orchestration frameworks, metadata systems, and production-grade data APIs.
•Experience exposing data capabilities as external products (APIs, developer platforms, partner integrations, or commercially licensed data services).

Experience:Data-intensive industriesAdtechMartechMediaCommerce

Skills:Product judgmentBusiness judgmentCross-functional communicationLeadershipAbility to operate in ambiguous environments

Tech Stack:SnowflakeLakehouseETLELTOrchestration frameworksGraph databasesVector databasesMetadata toolingMLAIAPIsMCP-compatible servicesWebhooksRetrieval systemsLLM applications

Company Brief

Raptive

Raptive is a creator-focused media company that provides ad monetization, audience growth, and business solutions for independent creators and enterprise publishers, combining ad technology, premium demand, and advocacy for the open internet.

Industry: Advertising Media Groups

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Headquarters: New York, United States

Founded: 2000

Glassdoor: 4.0

Website LinkedIn Glassdoor

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Raptive

1 month ago

Head of Intelligence Products

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Administration & Executive Assistance

Seniority: Sr. Director level

Key Responsibilities

•Define and lead enterprise product data strategy, architecture, and operating model.
•Shape and steward the enterprise product data platform across ingestion, storage, transformation, orchestration, governance, access, and activation.
•Evaluate and select core technologies across warehousing/lakehouse, orchestration, graph/vector databases, metadata tooling, and ML/AI infrastructure.
•Design semantic foundations (ontology/knowledge graph), rights/provenance data models, and governed access control for external products.
•Partner with product, engineering, and commercial leadership to productize and commercialize B2B offerings including APIs, MCP-compatible services, developer tools, and licensing models.

Key Requirements

•10+ years in data engineering, data architecture, platform engineering, or related leadership roles.
•Experience building and scaling cloud-based data platforms in complex, high-volume environments.
•Deep expertise in entity resolution and canonical entity modeling (identity graphs, deduplication, taxonomy design).
•Strong cloud data architecture skills, including Snowflake (or similar), graph databases, vector stores, orchestration frameworks, metadata systems, and production-grade data APIs.
•Experience exposing data capabilities as external products (APIs, developer platforms, partner integrations, or commercially licensed data services).

Experience:Data-intensive industriesAdtechMartechMediaCommerce

Skills:Product judgmentBusiness judgmentCross-functional communicationLeadershipAbility to operate in ambiguous environments

Tech Stack:SnowflakeLakehouseETLELTOrchestration frameworksGraph databasesVector databasesMetadata toolingMLAIAPIsMCP-compatible servicesWebhooksRetrieval systemsLLM applications

Company Brief

Raptive

Industry: Advertising Media Groups

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Headquarters: New York, United States

Founded: 2000

Glassdoor: 4.0

Website LinkedIn Glassdoor