Associate Director Product, GSSO

gartner; Irving (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

Gartner is seeking a business-facing AI Product Leader to own AI-enabled sales workflows, including Sales Assistant and Enterprise Assistant. You will partner with Sales, Data Science, UX, Engineering, and Legal to deliver secure, scalable AI products that transform enterprise selling at scale from discovery through rollout.

You'll drive product strategy, define success metrics, and manage end-to-end delivery across global teams, balancing user value, feasibility, and risk in a governed

Qualifications

• Bachelor's degree or equivalent.
• 10+ years of relevant enterprise sales experience.
• Expertise in enterprise selling processes including Salesforce and sales enablement.
• Fluency in applying AI to business processes, including agentic workflows and prompts.
• Ability to translate business needs into future-state workflows and product requirements.

Responsibilities

• Reimagine enterprise sales processes with AI to simplify and automate workflows.
• Lead product discovery with business leaders, frontline sellers, and operations teams.
• Translate needs into future-state workflows, roadmaps, and prioritized backlogs.
• Determine appropriate solution approaches per use case: agent-led, automated, or native-platform.
• Manage products through discovery to launch, adoption, and iteration.
• Collaborate with Data Science, Engineering, UX, Salesforce, and data teams to deliver secure AI experiences.
• Apply knowledge of AI prompts, data grounding, guardrails, and human-in-the-loop design.
• Facilitate demos, pilots, and leadership readouts; communicate progress to stakeholders.

Skills

Sales processes

AI product fluency

Product discovery

End-to-end delivery

Stakeholder comms

Education

Bachelor's Degree or Equivalent

Job description

Global Sales & Services Operations (GSSO) is the team that helps shape Gartner's mission-critical sales and services priorities and works with sales and services leaders to drive tactical and analytical insights. As an associate on the GSSO team, you'll be at the forefront of the ongoing transformation of Gartner's sales and services teams, which drive approximately $5.3B in Contract Value (CV). You will partner with business leaders across Gartner to support global sales and services teams comprised of nearly 9,000 associates who sell to and service every major function across the enterprise

About this role

We are seeking a business-facing AI Product Leader to lead the design and delivery of AI-enabled products that transform enterprise sales processes. This role will provide dedicated product ownership for Sales Assistant, Enterprise Assistant, and related AI-enabled sales workflows. The role partners closely with Sales, Sales Operations, Data Science, UX, Architecture, Salesforce, Engineering, Legal, Information Security, and Change Management to translate business needs into scalable, secure, and measurable products. The successful candidate will combine enterprise sales-process expertise, product management discipline, technical fluency, and a practical understanding of AI and agentic workflows. This is an opportunity to shape how AI supports the future of enterprise selling. You will assess existing sales processes, identify opportunities for simplification and transformation, and determine where work should be agent-led, automated, guided, or supported through native platform capabilities. You will own products from discovery and solution design through development, pilot, launch, adoption, and continuous improvement.

What You'll Do

• Reimagine enterprise sales processes for an agent-driven future by assessing current 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 right 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 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 speed of delivery.
• Ensure products operate effectively within a governed enterprise environment, including privacy, security, access, and regulatory requirements

What You'll Need

• Bachelor's Degree or Equivalent
• 10+ years relevant experience
• Enterprise sales-process expertise: Demonstrated understanding of enterprise selling, including account planning, opportunity management, QBRs, seller workflows, Salesforce, and sales enablement.
• AI product fluency: Practical experience applying AI to business processes, including agentic workflows, prompts, data grounding, orchestration, evaluations, guardrails, context management, and human-in-the-loop design.
• Process-transformation skills: Ability to analyze an existing business process, identify opportunities for simplification or redesign, and determine whether the right solution is agent-led, automated, guided, or platform-based.
• Product discovery and requirements skills: Ability to facilitate discovery with business leaders and end users, identify underlying needs, define future-state workflows, and translate findings into clear product requirements.
• End-to-end product delivery experience: 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 product judgment: Sufficient