Product Manager, AI-Driven Data & Personalization

Crain-Communications

New York (NY)

On-site

USD 90,000 - 130,000

Full time

14 days+

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Job summary

Crain Communications is seeking an experienced Product Manager to build systems that deepen audience understanding and enhance digital experiences across the lifecycle. Focus areas include data platforms, personalization, and intelligence capabilities to collect, organize, enrich, and activate customer and content data for better product outcomes.

You will work with AI-enabled product development, bridging customer needs, data models, and technical specs while communicating clearly with both

Qualifications

3+ years of product management experience, preferably with data products, publishing platform, analytics systems, and/or audience decisioning engines.
Experience with customer data platforms, behavioral data systems, behavioral analytics, personalization systems, recommendation engines, or similar technologies.
Comfort discussing APIs, data pipelines, integrations, and platform architecture.
Experience creating product requirements, workflows, wireframes, prototypes, or other product artifacts.
History of partnering with engineering teams to deliver scalable products or platform capabilities.
Strong analytical skills and the ability to use data, research, and experimentation to make product decisions.
Demonstrated success leading cross-functional initiatives and driving measurable business outcomes.
Strong communication and stakeholder management skills.

Responsibilities

Own the strategy, roadmap, and delivery of product intelligence systems that help Crain better understand and serve its audiences.
Work with stakeholders across the organization to identify where better data, automation, or intelligence can improve customer experiences and business outcomes.
Build internal capabilities that enable teams to understand customer behavior, audience interests, and content performance and do their jobs more effectively.
Develop personalization and recommendation systems that make Crain experiences more relevant for customers.
Partner with engineering and data teams to improve the quality, structure, governance, and accessibility of customer, content, and behavioral data.
Help build the systems that collect, store, enrich, and activate behavioral data for analytics, personalization, audience intelligence, and business decision-making.
Lead work on metadata, taxonomy, and content intelligence capabilities that improve discoverability, reporting, and personalization.
Develop AI-powered tools and internal platforms that make teams more efficient.
Partner with stakeholders to improve content management systems, publishing workflows, and editorial tooling that support content creation, enrichment, and distribution.
Identify opportunities to automate workflows and reduce manual effort across content and operational processes.
Use research, analytics, experimentation, and stakeholder feedback to inform product decisions and prioritize investments.
Define success metrics and measure the impact of product initiatives.
Manage products from discovery and planning through launch, optimization, and ongoing improvement.
Communicate product vision, priorities, progress, and results to stakeholders across the organization.