AI-First Product Manager, Supplier Platforms (Hybrid)

iTradeNetwork, Inc.; Charlotte (NC); Ibrido; USD 130.000 - 150.000; Tempo pieno

Vantaggi offerti da questo lavoro

Competitive salary

Medical/dental/vision insurance

Flexible PTO

Parental leave

401(k) matching

Tuition reimbursement

Teladoc access

Descrizione del lavoro

iTradeNetwork, Inc. is seeking a Product Manager to shape our supplier product roadmap and deliver AI-powered features. You will work with Engineering and cross-functional partners to drive value for our food and beverage customers from discovery through release.

This role is based in Charlotte, NC on a hybrid schedule, with ownership of defined product areas and measurable success metrics guided by customer feedback and usage data.

Competenze

• Bachelor's degree or equivalent required.
• 3+ years of product management experience in SaaS.
• Experience building AI-powered features and defining requirements with Engineering.
• Proficient in writing clear requirements, user stories, and product docs.
• Excellent communication with technical and non-technical partners.

Mansioni

• Own backlog and day-to-day product decisions for supplier features.
• Translate supplier and customer needs into clear problem statements and user stories.
• Collaborate with Engineering from discovery to launch with quality outcomes.
• Define and deliver AI-powered features for supplier workflows and measure success.

Conoscenze

SaaS product management

AI-powered features

Requirements writing

Clear communication

Formazione

Bachelor's degree or equivalent

Strumenti

AI tooling familiarity

Descrizione del lavoro

iTradeNetwork, Inc. is seeking a Product Manager to shape our supplier product roadmap and deliver AI-powered features. You will work with Engineering and cross-functional partners to drive value for our food and beverage customers from discovery through release.

This role is based in Charlotte, NC on a hybrid schedule, with ownership of defined product areas and measurable success metrics guided by customer feedback and usage data.