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Gartner

Sells research and advice to business leaders

Associate Director – AI Product Lead - Growth and Retention

Product ManagementUpdated on Nov 14
Full-time$108k - $148k

About the Job

Requirements

  • A bachelor's degree or equivalent is required.
  • At least 10 years of relevant experience is required.
  • Demonstrated understanding of enterprise selling, including account planning, opportunity management, quarterly business reviews, seller workflows, Salesforce, and sales enablement is required.
  • Practical experience applying artificial intelligence to business processes, including agentic workflows, prompts, data grounding, orchestration, evaluations, guardrails, context management, and human-in-the-loop design is required.
  • Ability to analyze existing business processes, identify opportunities for simplification or redesign, and determine whether solutions should be agent-led, automated, guided, or platform-based is required.
  • Ability to facilitate discovery with business leaders and end users, identify underlying needs, define future-state workflows, and translate findings into clear product requirements is required.
  • Demonstrated ability to take a digital, data, or artificial intelligence product from an ambiguous problem through solution design, backlog development, build, testing, pilot, launch, adoption, and iteration is required.
  • Technical fluency sufficient to collaborate with Engineering, Data Science, Architecture, Salesforce, and data teams; assess solution options; understand dependencies; and make informed trade-offs is required.
  • Ability to prioritize work based on user value, business impact, technical feasibility, risk, scalability, and delivery speed is required.
  • Ability to understand user needs through interviews, observation, feedback sessions, demonstrations, and pilots rather than relying solely on stated requirements is required.
  • Experience defining and tracking success measures such as product quality, adoption, user experience, seller efficiency, process effectiveness, and business impact is required.
  • Demonstrated ability to align and influence cross-functional teams—including Sales, Operations, Product, Technology, Data Science, Legal, Information Security, and Change Management—without direct authority is required.
  • Ability to communicate product direction, recommendations, risks, dependencies, trade-offs, decisions, delivery progress, and business impact clearly to senior stakeholders is required.
  • Experience incorporating privacy, security, access, legal, regulatory, and responsible artificial intelligence considerations into product decisions and delivery is required.

Responsibilities

  • Assess current enterprise sales workflows and identify opportunities to simplify, redesign, automate, or enhance them with artificial intelligence.
  • Lead product discovery with business leaders, frontline sellers, operations teams, and other users to understand processes, pain points, client needs, controls, and desired outcomes.
  • Translate business needs into future-state workflows, product requirements, experience designs, roadmaps, success measures, and prioritized backlogs.
  • Determine the appropriate solution approach for each use case, distinguishing between agent-led, automated, guided, and native-platform capabilities.
  • Lead products through the full product lifecycle, including discovery, solutioning, requirements definition, build, testing, pilots, launch, feedback, iteration, and scaled rollout.
  • Partner with Data Science, Engineering, UX, Architecture, Salesforce, and data teams to deliver secure, scalable, and intuitive artificial-intelligence-enabled experiences.
  • Apply practical knowledge of artificial intelligence applications, prompts, data grounding, orchestration, evaluations, guardrails, context management, and human-in-the-loop workflows.
  • Facilitate demonstrations, pilots, user feedback sessions, design reviews, and leadership readouts.
  • Orchestrate delivery across Sales, Operations, Product, Data Science, Engineering, Architecture, Legal, Information Security, and Change Management.
  • Communicate product direction, decisions, dependencies, risks, trade-offs, delivery progress, and business impact to senior stakeholders.
  • Influence and align teams across the organization without relying on direct authority.
  • Establish and track measures of product quality, adoption, user experience, seller efficiency, and impact on sales execution.
  • Balance user value, technical feasibility, enterprise risk, scalability, governance, and delivery speed.
  • Ensure products operate effectively within a governed enterprise environment, including privacy, security, access, and regulatory requirements.

About the Company

Gartner

Sells research and advice to business leaders

Gartner sells business and technology research to executives and their teams, along with advice for decisions about strategy, spending, and operations. Clients use its reports, benchmarking tools, and conversations with experts to evaluate vendors, compare practices, and plan investments. Its consulting teams work on technology strategy and complex projects, while conferences bring leaders together for expert sessions and peer discussions. The company earns revenue from research subscriptions, consulting engagements, and conference attendance, serving organizations across many sectors. Gartner was founded in 1979 and is headquartered in Stamford, Connecticut.

Company size
10,001+
Company stage
IPO
Headquarters
Stamford, CT
Founded
1979

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