Associate Director - AI Product Lead - Growth and Retention

Gartner • Stamford, CT

2d • $108,000 - $148,000 • Hybrid

About The Position

Global Sales & Services Operations (GSSO) helps shape Gartner's sales and services priorities and provides tactical and analytical insights to leaders. The team supports global sales and services organizations comprising nearly 9,000 associates and driving approximately $5.3 billion in Contract Value.

The Associate Director will provide dedicated product ownership for Sales Assistant, Enterprise Assistant, and related AI-enabled sales workflows. Working with Sales, Sales Operations, Data Science, UX, Architecture, Salesforce, Engineering, Legal, Information Security, and Change Management, the role translates business needs into scalable, secure, measurable products. It combines enterprise sales-process expertise, product management discipline, technical fluency, and practical understanding of AI and agentic workflows.

The role assesses existing sales processes, identifies opportunities to simplify or transform them, and determines where work should be agent-led, automated, guided, or supported through native platform capabilities. Product ownership spans discovery and solution design through development, pilot, launch, adoption, and continuous improvement. Products must operate effectively in a governed enterprise environment, including applicable privacy, security, access, and regulatory requirements.

Gartner describes its work as providing objective analysis and actionable business and technology insights to enterprise leaders. The company has 20,000 associates globally and supports more than 13,000 client enterprises in approximately 90 countries and territories. This position is described as hybrid. The estimated base salary range is $108,000–$148,000, with participation in either an annual bonus plan or a role-based, uncapped sales incentive plan, depending on eligibility and the specific opportunity.

Requirements

• Bachelor’s degree or equivalent.
• 10+ years of relevant experience.
• Demonstrated understanding of enterprise selling, including account planning, opportunity management, QBRs, seller workflows, Salesforce, and sales enablement.
• Practical experience applying AI to business processes, including agentic workflows, prompts, data grounding, orchestration, evaluations, guardrails, context management, and human-in-the-loop design.
• Ability to analyze existing business processes, identify simplification or redesign opportunities, and determine whether an agent-led, automated, guided, or platform-based solution is appropriate.
• Ability to facilitate discovery with business leaders and end users, identify underlying needs, define future-state workflows, and translate findings into clear product requirements.
• Demonstrated ability to take a digital, data, or AI product from an ambiguous problem through solution design, backlog development, build, testing, pilot, launch, adoption, and iteration.
• Technical fluency to collaborate with Engineering, Data Science, Architecture, Salesforce, and data teams; assess solution options; understand dependencies; and make informed trade-offs.
• Ability to prioritize work based on user value, business impact, technical feasibility, risk, scalability, and delivery speed.
• Ability to understand user needs through interviews, observation, feedback sessions, demonstrations, and pilots rather than relying solely on stated requirements.
• Experience defining and tracking success measures such as product quality, adoption, user experience, seller efficiency, process effectiveness, and business impact.
• 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.
• Ability to communicate product direction, recommendations, risks, dependencies, trade-offs, decisions, delivery progress, and business impact clearly to senior stakeholders.
• Experience incorporating privacy, security, access, legal, regulatory, and responsible AI considerations into product decisions and delivery.

Responsibilities

• Reimagine enterprise sales processes for an agent-driven future by assessing workflows and identifying opportunities to simplify, redesign, automate, or enhance them with AI.
• 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 among agent-led, automated, guided, and native-platform capabilities.
• Lead products through the full 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 AI-enabled experiences.
• Apply practical knowledge of AI 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.

Benefits

• Generous paid time off (PTO).
• 401(k) match up to $7,200 per year.
• Opportunity to purchase company stock at a discount.
• World-class benefits and highly competitive compensation.
• Annual bonus plan based on company and individual performance or a role-based, uncapped sales incentive plan, depending on eligibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Director