Gartner

Sr. Platform Product Manager, AI Platform

Gartner$108K — $148K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-7+ years of product management experience with technical platforms and enterprise SaaS products.
  • Experience with AI/ML-powered products or platforms, understanding their operationalization.
  • Hands-on knowledge of AI/ML platform architectures, agent orchestration, and retrieval systems.
  • Demonstrated success in launching AI products from inception to scale.
  • Strong analytical and problem-solving skills for system behavior diagnostics.
  • Excellent communication skills for translating technical concepts to diverse audiences.
  • Proven ability to influence teams in a complex, global environment.

Responsibilities

  • Own and drive the roadmap and delivery of the AI Platform, aligning with enterprise strategy and client needs.
  • Drive development of core platform capabilities like agent orchestration and memory management.
  • Build a modular, interoperable platform architecture for flexible integration across systems.
  • Enable downstream teams to create AI-driven experiences by providing well-defined services and APIs.
  • Establish evaluation frameworks for platform performance, guiding continuous improvement.
  • Manage multiple workstreams, helping teams navigate ambiguity in early-stage to delivery phases.
  • Contribute knowledge on enterprise AI patterns and advancements in agentic systems to platform evolution.

Benefits

  • Competitive salary and generous paid time off policy.
  • Charity match program and comprehensive health plans (Medical, Dental & Vision).
  • Parental Leave and Employee Assistance Program (EAP).
  • 401K matching and additional perks.
  • Collaborative culture that embraces diversity and encourages professional development.
Full Job Description
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


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About Gartner

Gartner, Inc. is a research and advisory company that provides information, advice, and tools for leaders in IT, finance, HR, customer service and support, legal and compliance, marketing, sales, and supply chain functions. The company operates in more than 100 countries and has over 16,000 employees. Gartner was founded in 1979 and is headquartered in Stamford, Connecticut.
Learn more about Gartner
Size
16,600 employees
Market Cap
$26.4 billion
Industry
Net Income
$266.7 million
Founded
1979
5 Year Trend
+14.1%
Revenue
$4 billion
NASDAQ

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