Product Manager, AI Platform — Remote & Scalable Impact

IDC Corporate; United States; À distance; USD 120 000 - 165 000; Plein temps

Avantages offerts par ce poste

Vacation days 15

Holidays 12

Sick days 6

Medical coverage

Floating holidays

Volunteer day

401(k) match

Disability insurance

Life insurance

Parental leave

Résumé du poste

IDC is seeking a Product Manager for the AI Platform to shape core IDC Quanta platform capabilities, focusing on reliability, access experiences, usage analytics, and extensibility. You will own discovery, definition, prioritization, and post-launch outcomes, collaborating with engineering, data, design, and GTM teams.

You will translate stakeholder needs into platform use cases and acceptance criteria, define success metrics, and guide backlog prioritization across quarterly goals.

Qualifications

• 5-8 years of product management experience in platform/data/analytics or dev-focused products.
• Experience translating stakeholder needs into clear requirements, use cases, and backlog items.
• Experience with SaaS platforms and collaborating with engineering on scalability, reliability, and data flows.

Responsabilités

• Own product discovery and definition for IDC Quanta platform capabilities.
• Translate needs into platform use cases, requirements, and acceptance criteria.
• Collaborate with engineering to prioritize improvements for identity experiences and secure access patterns.
• Define, monitor, and interpret product success metrics to guide iteration.
• Align IDC Quanta backlog with quarterly priorities and long-term extensibility.
• Work with design, data, research, and GTM teams to make capabilities usable and relevant.
• Communicate roadmap, tradeoffs, and progress to leadership and stakeholders.

Connaissances

Product management

Platform products

Data analytics

Identity access

Cross-functional

Communication

Formation

Bachelors in CS/Engineering

Description du poste

IDC is seeking a Product Manager for the AI Platform to shape core IDC Quanta platform capabilities, focusing on reliability, access experiences, usage analytics, and extensibility. You will own discovery, definition, prioritization, and post-launch outcomes, collaborating with engineering, data, design, and GTM teams.

You will translate stakeholder needs into platform use cases and acceptance criteria, define success metrics, and guide backlog prioritization across quarterly goals.