Senior PM, AI Data Products & Insights Platform

Crunchbase; North Charleston (SC); On-site; USD 140,000 - 190,000; Full time

Job summary

Crunchbase is seeking a Senior Product Manager for AI and Data Science products to own the customer-facing AI data layer, identifying high-value opportunities and guiding products from experimentation to scaled adoption.

You will partner with Foundational Data, Design, Engineering, and GTM to test concepts with customers, define data presentation, and deliver a differentiated portfolio of AI data products that improve customer workflows.

Qualifications

• 3+ years of Product Management or equivalent in AI/ML or data products.
• Experience owning customer-facing data science products from problem definition through launch.
• Experience partnering with Data Science and Engineering teams.
• Experience taking products from discovery to scaled adoption.
• Ability to define quality criteria reflecting customer needs and tradeoffs.
• Experience with B2B SaaS, data products, or APIs preferred.

Responsibilities

• Own strategy and roadmap for Crunchbase’s AI data layer.
• Identify high-value opportunities for new predictions, classifications, signals, and insights.
• Build a differentiated portfolio of AI data products rather than isolated features.
• Partner with Foundational Data to determine when to collect, acquire, infer, or generate data.
• Test concepts with customers and scale successful products.
• Collaborate with Design, Engineering, and Data Science to deliver AI data across Crunchbase products.

Skills

Product judgment

Data product knowledge

ML basics

Applied data science

Requirements translation

Model evaluation concepts

Probabilistic data

Analytical skills

Customer discovery

Cross-functional leadership

Job description

Crunchbase is seeking a Senior Product Manager for AI and Data Science products to own the customer-facing AI data layer, identifying high-value opportunities and guiding products from experimentation to scaled adoption.

You will partner with Foundational Data, Design, Engineering, and GTM to test concepts with customers, define data presentation, and deliver a differentiated portfolio of AI data products that improve customer workflows.