About the role

Principal Product Manager leading product strategy for IDC’s AI-powered platforms. Collaborating across teams to develop and deliver intelligent, context-aware product experiences.

Responsibilities

Own the product vision, long-term strategy, and roadmap for a foundational capability within IDC’s next-gen discovery platform.
Define the data models, technical architecture, and platform interfaces that power intelligent, context-aware product experiences.
Partner with engineering to design and deliver scalable APIs, system components, and observability layers that enable extensibility and reuse.
Collaborate with AI/ML teams to integrate capabilities such as semantic search, LLM-powered assistants, personalization, and classification systems.
Write PRFAQs and technical narratives that align senior leadership, drive clarity across functions, and accelerate high-judgment decisions.
Engage directly with CIOs, analysts, and vendor partners to validate pain points and iterate toward product-market fit.
Define success metrics, build telemetry strategies, and use experimentation to drive continuous learning and iteration.
Serve as the single-threaded owner for your domain, mentoring others and raising the quality bar across the organization.

7+ years of product management experience, with 4+ years in a technical or platform product role.
Bachelor’s degree in Computer Science, Engineering, or equivalent technical experience.
Proven track record of shipping 0→2 products or scaling platform capabilities in ambiguous, high-accountability environments.
Deep technical fluency—you can meaningfully shape architecture, API design, and system trade-offs with engineering teams.
Exceptional written and verbal communication skills; able to influence VP- and SVP-level stakeholders.
Demonstrated ability to lead cross-functional initiatives that span engineering, data science, design, and research.
Strong business and customer orientation; experience driving adoption, engagement, and measurable business outcomes.
Preferred Qualifications: Experience building or scaling AI/ML-powered products, especially involving search, retrieval-augmented generation (RAG), or entity extraction.
End-to-end digital fulfillment experience and digital product-like growth systems experience, a plus.
Familiarity with knowledge graph design, semantic modeling, or enterprise data platforms.
Background working with structured research, metadata systems, or content syndication at scale.
Experience with enterprise SaaS, developer platforms, or B2B intelligence solutions.
Ability to operate autonomously, manage ambiguity, and influence outcomes in a matrixed organization.