GTM Enablement Manager (AI)

Location: Hybrid, four days per week in an office in New York City, Nashville, San Francisco, or Mountain View, United States

Salary: $140,000–$187,000 annually

Company

Glean develops a Work AI platform with enterprise search, an AI Assistant, AI agents, SaaS connectors, flexible LLM support, and APIs for secure enterprise knowledge and workflow automation.

What you will do

• Translate release notes, product specifications, and technical documentation into field-ready guidance, talk tracks, proof points, and customer use cases.
• Build and maintain a scalable product enablement program for Sales and, as the program expands, solutions engineering, customer outcomes, support, and partnerships.
• Design and deliver enablement sessions using demos, active practice, and real customer scenarios.
• Partner with Product, Product Marketing, Competitive, Sales, Technical Enablement, and Customer Outcomes on Tier 1 and Tier 2 launch readiness.
• Embed product learning into onboarding, certifications, deal coaching, and manager enablement.
• Design an AI-first launch-to-enable loop and help build role-aware updates, browser guidance, agent-driven labs, readiness signals, and AI-assisted certifications.

Requirements

• 5+ years of experience in B2B SaaS go-to-market roles such as product enablement, sales or revenue enablement, product marketing, or solutions engineering.
• Experience translating complex technical or AI-heavy products into narratives, talk tracks, and training used by go-to-market teams.
• Familiarity with value-based sales methodologies such as Command of the Message, MEDDICC, or MEDDPICC.
• Conceptual understanding of large language models, retrieval-augmented generation, knowledge graphs, security, and permissions.
• Hands-on experience using AI tools for enablement, including curricula, interactive labs, self-service Q&A, or agent-assisted certifications.
• Strong project and program management skills, with the ability to manage multiple launches, stakeholders, dependencies, and success metrics.

Nice to have

• Experience designing durable, AI-powered enablement systems rather than one-time training events.
• Experience operating in ambiguous, fast-changing environments with frequent product releases.

Culture & Benefits

• Comprehensive medical, vision, and dental coverage.
• Generous time-off policy and 401(k) contribution opportunity.
• Home office improvement stipend.
• Annual education and wellness stipends.
• Inclusive and diverse workplace commitment.

Hiring process

• Interview process includes a brief AI-focused exercise or discussion covering how candidates think about, design, and use AI.