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Senior Product Manager, AI Products and Insights

Gartner Careers

Stamford · Hybrid Full-time Senior $108k – $148k/yr 1mo ago

About the role

The Opportunity

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.

What You’ll Do

  • 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

What We’re Looking For

  • 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

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, 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.

What you will get:

  • Competitive salary, generous paid time off policy, charity match program, Medical, Dental & Vision Plans, Parental Leave, Employee Assistance Program (EAP), 401K matching and more!
  • Collaborative, team-oriented culture that embraces diversity
  • Professional development and unlimited growth opportunities

About Gartner

At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world.

Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities.

Since our founding in 1979, we’ve grown to 20,000 associates globally who support over 13,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.

Our vast, virtually untapped market potential offers limitless opportunities – opportunities that may not even exist right now – for you to grow professionally and flourish personally. How far you go is driven by your passion and performance.

We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients.

Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations.

We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work.

Gartner is the world authority on AI

At Gartner, you’ll join a company at the very center of the AI revolution. Gartner has proactive, objective guidance throughout clients’ AI journeys. We set the standard for how organizations leverage artificial intelligence to drive meaningful impact. You’ll have access to unmatched resources, expertise, and technology, and play a key role in helping Gartner and our clients innovate and grow as we leverage AI to transform business and technology landscapes.

It’s an exciting time to be at Gartner, with limitless opportunities to make a real impact, grow your skills, and build a lasting, meaningful career in a field that’s reshaping the way we operate. If you’re passionate about AI and want to be part of a team that’s guiding the leaders who shape the world, Gartner is the place for you.

Compensation and Benefits

Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers.

In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.

A reasonable estimate of the base salary range for this role is 108,000 USD - 148,000 USD. Actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location.

In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan.

Market leading benefit programs include generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more.

Equal Opportunity

Gartner is committed to providing equal employment opportunities to all applicants and employees without regard to legally protected status.

Reasonable accommodations are available for qualified individuals with disabilities or disabled veterans upon request.

Skills

AIagent frameworksagent orchestrationanalyticsAPIenterprise SaaSLLMsmachine learningplatform architectureproduct managementretrieval systems

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