Principal Product Manager - Technical

IDC is building intelligent, AI-powered platforms that transform how technology decisions are made. The Principal Product Manager - Technical will own the strategy, architecture, and execution of a foundational capability within IDC’s next-generation discovery platform, collaborating across engineering, AI/ML, research, and design. The role will define technical systems, integrate AI capabilities, engage customers, and drive measurable product outcomes.

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

Requirements:

• • 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
• • 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