Sr Digital Product Manager (AI- Products)

The Opportunity  

AskGartner is building toward becoming the AI-powered strategic advisor for enterprise clients, a product that puts the full depth of Gartner’s research, proprietary data, and expert knowledge at clients’ fingertips to drive better decisions against their most critical priorities. Few AI products in the world operate over 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. 

You’ll be shaping the core chat and embedded AI experiences that serve as the primary surface through which hundreds of thousands of professionals interact with Gartner’s intelligence and help build out the broader AI Products and Insights portfolio. You’ll work across products, 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 world’s largest enterprises make decisions, and you want to see the impact of your work in real user behavior and business outcomes, this is the role. 

What You’ll Do  

• Own end-to-end product delivery for core AskGartner experiences, from discovery through launch and iteration, across the chat interface and its embedded integrations throughout Gartner’s 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 and maintain a rigorous evaluation sensibility: understand what a good answer looks like, what a good experience feels like, and identify precisely where the product falls short, then translate those gaps into concrete, shippable improvements. 

• Drive quantitative and qualitative analysis to validate product 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 to validate product hypotheses, measuring what’s working and course-correcting what isn’t, prioritizing learning velocity over exhaustive planning. 

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

• Contribute to the team’s product management craft: participating in reviews, sharing learnings, and helping raise the bar on how we think about and build products. 

In practice, you’ll typically be working across multiple opportunities at different stages of development simultaneously, some 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, and moving work toward a weekly release. You’ll be hands-on with the product itself, paying close attention to the nuance of what’s being shipped and taking full ownership of the quality of what goes out the door. 

What We’re Looking For  

Experience & Background  

• 5–7+ years of product management experience, with meaningful time spent on B2B or enterprise SaaS products. 

• Demonstrated experience working on AI/ML-powered products, you understand model capabilities and limitations, prompt engineering tradeoffs, evaluation methodologies, and what it takes to ship AI features that work for users. 

• Familiarity with AI/ML architectures, pipelines, and tooling (e.g., LLMs, agent frameworks, retrieval systems, embeddings). You don’t need to build these yourself, but you need to have informed conversations with the engineers and data scientists who do. 

• Track record of shipping user-facing products from zero-to-one or through meaningful inflection points, not just maintaining existing features. 

• Comfortable operating in 0-to-1 innovation environments: you can create structure where little exists, make pragmatic tradeoffs, and drive work from early discovery through initial launch. 

• Comfort with ambiguity: you’ve operated in environments where the right answer wasn’t obvious and you had to develop conviction through experimentation and judgment. 

Who You Are  

• Genuinely curious, you 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-directed, you don’t wait for assignments. You see gaps, form a point of view, and move toward solutions before being asked. 

• Humble and learning-oriented, you’re comfortable saying “I don’t know” and genuinely excited to learn from the people around you, regardless of their title. 

• Sincere about the work, you 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, honest communicator, you can articulate complex tradeoffs to technical and non-technical audiences, and you default to transparency over spin. 

• Driven by impact, you measure your own success by whether the product got better and 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 in enterprise, not 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 a craft, with structured development, mentorship, and a culture of continuous improvement.