Sr. Digital Product Manager

Gartner•Stamford, CT

22h•Hybrid

About The Position

We are looking for an impact-driven, Senior Product Manager within our AI Products and Insights team, to build the next-generation AI Platform that powers intelligent, agent-driven experiences across the enterprise. This platform is foundational, enabling not only AI features, but defining how AI systems are built, integrated, governed and scaled across our product ecosystem. You’ll own the underlying platform through which AI capabilities are delivered. You will work across engineering, data science, product, and infrastructure to determine what gets built and why it matters. If you want to build the backbone of AI innovation, where platform thinking meets product intuition and real-world impact, this role is for you.

Requirements

5–7+ years of product management experience, with meaningful exposure to technical platforms and enterprise SaaS products.
Demonstrated experience working on AI/ML-powered products or platforms, with practical understanding of model capabilities and limitations, prompt design tradeoffs, evaluation methodologies, and what it takes to operationalize AI in production.
Strong understanding of, or hands-on experience with, AI/ML platform architectures, agent orchestration, pipelines, and tooling (e.g., LLMs, agent frameworks, retrieval systems, embeddings)
Track record of shipping AI products or platforms from zero-to-one and scaling them through adoption and iteration.
Strong analytical and problem-solving skills, with ability to diagnose gaps in system behavior or output quality, and translate them into structured, high-impact improvements
Excellent communication skills, with the ability to articulate complex AI and system concepts to both technical and non-technical audiences.
Proven ability to influence cross-functional teams in a global, matrixed environment.

Responsibilities

Own and drive the AI Platform roadmap and delivery, aligning priorities to enterprise AI strategy, client use-cases and downstream team needs.
Drive the development of core platform capabilities, including agent orchestration, context and memory management, knowledge ingestion and retrieval pipelines, and reusable services for building intelligent systems.
Build a modular, interoperable platform architecture, enabling teams to compose AI capabilities flexibly, integrate across systems, and build resilient, scalable solutions.
Enable downstream product teams to build high-quality AI-driven experiences by providing well-defined APIs, services, and platform abstractions that reduce friction and accelerate development.
Establish a rigorous evaluation framework and guardrails for platform performance, including response quality, trust, latency, reliability, and system scalability, and use those insights to guide continuous improvement.
Operate across multiple workstreams simultaneously, ranging from early-stage architectural decisions to near-term delivery, helping teams navigate ambiguity and move work forward with clarity.
Bring a strong point of view on agentic systems and enterprise AI patterns, staying current with advancements in LLMs, multi-agent architectures, and orchestration frameworks, and applying that thinking to platform evolution.