Sr Digital Product Manager (AI- Products)

The Opportunity

AskGartneris building toward becoming the AI-powered strategic advisor for enterpriseclientsa product that puts the full depth of Gartners research proprietary data and expert knowledge at clients fingertips to drive better decisions against their most critical priorities. Few AI products in the worldoperateover a knowledge base this rich: decades of analyst research peer-sourced vendor insights and real-world practitioner data spanning every major industry and technology domain.

Youllbe shaping the core chat and embedded AI experiences that serve as the primary surface through which hundreds of thousands of professionals interact with Gartnersintelligence andhelpbuild out the broader AI Products and Insights portfolio.Youllwork acrossproducts engineering data science design and research to decide what gets built how it behaves and why it matters.

If you want to build an AI product that changes how the worlds largest enterprises makedecisionsand you want to see the impact of your workinreal user behavior and businessoutcomesthis is the role.

WhatYoullDo

• Own end-to-end product delivery for coreAskGartnerexperiencesfrom discovery through launch anditerationacross the chat interface and its embedded integrations throughout Gartners digital products.

• Define and drive the product roadmap for AI-powered features making judgment calls on scope sequencing and tradeoffs with a bias toward shipping incremental improvements over waiting for perfect solutions.

• Develop andmaintaina rigorousevaluationsensibility: understand whata good answerlooks like whata good experiencefeels like andidentifyprecisely where the product fallsshortthen translate those gaps into concreteshippableimprovements.

• Drive quantitative and qualitative analysis tovalidateproduct decisions and inform direction. Use engagement data retention metrics user research and direct product observation to build conviction and move the product forward.

• Translate complex user needs into clear product requirements that engineering and data science teams can execute against bridging the gap between client problems and technical solutions.

• Design and run experiments tovalidateproduct hypotheses measuringwhatsworkingand course-correcting whatisntprioritizing learning velocity over exhaustive planning.

• Develop a deep understanding of how enterprise clients research evaluate and make technology and strategicdecisionsand use that understanding to inform product intuition.

• Contribute to the teams product management craft:participatingin reviews sharing learnings and helping raise the bar on how we think about and build products.

In practiceyoulltypically be working across multiple opportunities atdifferent stagesof developmentsimultaneouslysome still in the vague problem-space phase others nearing implementation. Much of your time will be spent bridging that gap: guiding conversations with stakeholders and teams to sharpen scope pressure-test solution designs andmovingwork toward a weekly release.Youllbe hands-on with the product itself paying close attention to the nuance ofwhatsbeing shipped and taking full ownership of the quality of what goes out the door.

WhatWereLooking For

Experience & Background

• 57 years of product management experience with meaningful time spent on B2B or enterprise SaaS products.

• Demonstrated experience working on AI/ML-poweredproductsyou understand model capabilities and limitations prompt engineering tradeoffs evaluation methodologies and what it takes to ship AI features thatworkfor users.

• Familiarity with AI/ML architectures pipelines and tooling (e.g. LLMs agent frameworks retrieval systems embeddings). Youdontneed to build these yourself but you need to have informed conversations with the engineers and data scientists who do.

• Track recordof shipping user-facing products from zero-to-one or through meaningful inflectionpointsnot justmaintainingexisting features.

• Comfortable operating in 0-to-1innovationenvironments: you can createstructurewhere little exists make pragmatic tradeoffs and drive work from early discovery throughinitiallaunch.

• Comfort with ambiguity:youveoperatedin environments where the right answerwasntobviousand you had to develop conviction through experimentation and judgment.

Who You Are

• Genuinelycuriousyou dig into problems because you want to understand them not just resolve them. You read broadly ask good questions and notice things others miss.

• Proactive and self-directedyoudontwait for assignments. You see gapsforma point of view and move toward solutions before being asked.

• Humble and learning-orientedyourecomfortable saying I dont know and genuinely excited to learn from the people around you regardless of their title.

• Sincere about theworkyou care about building something meaningful not just shipping features. You take pride in craft and hold yourself to a high standard because the work matters to you not because someone is watching.

• A clear honestcommunicatoryou can articulate complex tradeoffs to technical and non-technical audiences and you default to transparency over spin.

• Driven byimpactyou measure your own success by whether the product gotbetterand users got more value not by how many things you launched.

Why This Role

• Shape a product used by hundreds of thousands of enterprise decision-makers worldwide with direct visibility into how your work moves business outcomes.

• Work at the frontier of applied AI inenterprisenot a chatbot wrapper but a product rethinking how humans interact with deep institutional knowledge.

• Join a high-caliber tight-knit product team that values rigorous thinking intellectual honesty and building things that matter.

• Operate with real ownership: the team is small enough that your judgment directly shapes what gets built and senior enough that your voice is heard in strategic conversations.

• Learn and grow in an environment that invests in product management as acraftwith structured development mentorship and a culture of continuous improvement.