About the Role:
Glean is seeking a Product Enablement Manager to sit at the intersection of Product, Product Marketing, and GTM Enablement. In this role, you will be the connective tissue between a fast‑moving Work AI platform and our customer‑facing teams, turning launches, roadmap bets, and complex product capabilities into clear, usable narratives, workflows, and trainings that drive adoption and revenue impact across the go‑to‑market organization.
You will also be a key builder and collaborator on our AI‑first enablement vision: using Glean and agents to turn fragmented launch signals into role‑aware guidance, in‑flow practice, and visible readiness signals. Instead of relying on point‑in‑time trainings alone, you’ll design and build an always‑on, AI‑assisted enablement system that keeps GTM teams current on what changed, why it matters, and how to use it in real deals. For this role, you must be excited to use AI to build new workflows and processes from a first principles, AI-first approach.
You will:
- Own the GTM‑facing layer of product enablement, translating release notes, specs, and technical documentation into “what this means for the field” guidance: when to use new capabilities, which personas and use cases to target, and what proof points and stories to lean on.
- Build and maintain a scalable product enablement program for GTM teams (Initially the focus will be Sales, but can expand and overlap to SEs/SAs, Customer Outcomes, Support, Partnerships), covering launches, core product foundations, advanced AI capabilities, and platform‑level narratives.
- Design and deliver high‑impact enablement sessions on new features, packages, and workflows, with a focus on active practice, demos, and application to real customer scenarios, not just slides.
- Partner closely with Product, Product Marketing, Competitive, Sales, Technical Enablement, and Customer Outcomes to ensure GTM teams are launch‑ready for Tier 1 and Tier 2 releases, with clear talk tracks, demo flows, objection handling, and enablement bundles.
- Work with Field and Technical Enablement peers to embed product learning into broader programs such as onboarding, certifications, deal coaching, and manager enablement, so product knowledge shows up in how we sell and support, not just in standalone trainings.
- Design and operate an AI‑first “launch‑to‑enable” loop: help define how product changes (release notes, docs, support patterns) become structured launch briefs, role‑based guidance, and in‑flow practice using Glean and agents as the backbone.
- Partner with Technical Enablement and AI product teams to build and maintain AI‑powered enablement surfaces (e.g., role‑aware “what’s new” views, browser‑overlay guidance, agent‑driven labs) that deliver just‑in‑time coaching in the tools where GTM already works.
- Act as a champion and co‑designer of our AI‑first enablement system by collaborating on 30‑/60‑/90‑day MVPs (e.g., an enablement‑owned launch hub, role‑aware readiness signals, agent‑assisted certifications) and feeding field feedback back into our AI enablement roadmap.
About you:
- 5+ years in B2B SaaS go‑to‑market roles such as product enablement, sales/revenue enablement, product marketing, solutions engineering, or similar roles with heavy product ownership and field interaction.
- Proven track record translating complex, technical, or AI‑heavy product concepts into simple, compelling narratives, talk tracks, and trainings that GTM teams actually use in the field.
- Strong familiarity with modern value‑based sales methodologies (e.g., Command of the Message, MEDDICC/MEDDPICC, or similar) and how product stories must align to business problems, outcomes, and proof points, not just features.
- Solid understanding of how AI products work at a conceptual level (e.g., large language models, retrieval‑augmented generation, knowledge graphs, security and permissions), even if you are not a deep technical expert, and curiosity about how Work AI changes selling and customer workflows.
- Hands‑on experience using AI tools to design, deliver, or scale enablement, for example, using AI to draft curricula, build interactive labs, power self‑serve Q&A, or run lightweight, agent‑assisted certifications.
- Strong project and program management skills: able to juggle multiple launches, stakeholder groups, and content streams while keeping timelines, dependencies, and success metrics clear.
- Comfortable operating in ambiguity and a high‑change environment, you can keep up with a fast product release cadence, find signal in the noise, and quickly determine what the field actually needs versus what would be “nice to have.”
- A systems thinker who gets excited about turning one‑off trainings into durable, AI‑powered enablement experiences, you think in terms of loops, signals, and workflows, not just events.
Location
- This role is hybrid (4 days a week in one of our office locations NYC, Nashville, SF, Mountain View)
Compensation & Benefits:
The standard base salary range for this position is $140,000 - $187,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing.
We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.
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AI-First Mindset at Glean: At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement.By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement, and I agree to the terms.