Product Manager, Platforms & Data

Crain Communications•New York, NY

1d•$90,000 - $130,000•Hybrid

About The Position

Crain Communications is seeking an experienced Product Manager to help build the systems that deepen our understanding of our audiences and make our digital experiences more relevant and valuable to those audiences across their lifecycle. This role focuses on the platforms, data systems, and intelligence capabilities that drive personalization, audience insights, content operations, and decision-making at Crain. You will work with teams across the business to build the foundational capabilities that collect, organize, enrich, and activate customer, content, and behavioral data to improve every product Crain brings to market. At Crain, we use AI-enabled product development as part of how we work. We are looking for a product manager who is comfortable using modern AI tools to move faster and work smarter — from discovery and research to prototyping, experimentation, and delivery. This role is a good fit for someone who enjoys touching all parts of a business. You can communicate with any stakeholder in a way that they can understand, whether business or technical. You should be comfortable moving between customer needs, data models, business goals, and technical details all day long.

Requirements

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 technical concepts such as 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.
Experience working with multiple teams, priorities, and stakeholders.
Experience using AI-powered tools to support discovery, research, requirements development, prototyping, or experimentation.

Nice To Haves

Experience with customer data platforms, analytics platforms, and content management systems such as Arc XP, experimentation platforms, or business intelligence tools.
Familiarity with metadata, taxonomy, content intelligence, or personalization technologies.
Interest in AI-enabled products, workflow automation, or recommendation systems.
Background in media, publishing, SaaS, data platforms, or other digital product organizations.

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.