Field Enablement Specialist

PagerDuty
Remote (USA)$75k – $125kPosted 18 April 2026

Job Description

PagerDuty (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. Over 13,000 organizations (including 60 of Fortune 100) rely on PagerDuty to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization. Overview of the Role PagerDuty is looking for a broadly talented Field Enablement Specialist , a strong "Utility Player" to join our Go to Market (GTM) Enablement team. You are a rare hybrid: part Data Scientist, part Instructional Designer, and part Operational Strategist. While the Principal team sets the vision, you are the one who builds the systems, models the impact, and ensures our knowledge ecosystem scales through automation. This is a role for someone who thrives on variety. One day you'll be building a revenue impact model in Python or SQL; the next, you'll be using Generative AI to automate a global GTM communications launch or designing a high-fidelity learning module. You don't just "do training" - you optimize the entire enablement lifecycle through data and innovation. Key Responsibilities Data Modeling Revenue Analytics (The "Data Science" Core): Build and maintain sophisticated data models that link enablement activity to hard revenue outcomes (e.g., win rates, ARR, pipeline growth and deal velocity). Leverage your data science background to identify "readiness gaps" before they impact the forecast, providing leadership with actionable field insights. Own the Tableau/Power BI enablement stack, turning raw Salesforce data into a narrative of field performance, working with existing team members to build out leading indicators of sales efficiency. AI Innovation Efficiency at Scale: Identify manual bottlenecks in the enablement process and eliminate them using AI agents, Gong and LLM-powered tools. Use generative AI to turn complex product documentation into bite-sized, role-based learning assets (video, text, and interactive sims). Architect our field content structure to ensure the field has a "single source of truth" that is just-in-time, on demand, searchable, modular, and AI-optimized. Multi-Disciplinary Program Delivery: Where needed, in support of our Principals, rapidly develop high-quality, multi-modal content that adheres to adult learning principles while being engaging and modern. Help our centralized Corporate Communications function manage the drumbeat of field communications, ensuring product updates and sales plays are communicated clearly, concisely, and through the right channels (Slack, Email, Video, All Hands/Town Hall Meetings). Work cross-functionally with Product, Marketing, Biz Ops and Sales Ops to ensure enablement initiatives are synchronized with the broader business calendar. Basic Qualifications: 2+ years in a high-growth Enablement, Sales Ops, or Revenue Ops function. You've seen what "scale" looks like and know how to build for it. Degree in Data Science, Business Analytics, or a related technical field is required. You are comfortable with data modeling and statistical analysis. Proficiency in SQL, Python, or R for data manipulation; mastery of Tableau/Power BI. Deep experience with Salesforce (SFDC) and Enablement Platforms (e.g., Highspot, Seismic, or Docebo). Demonstrated ability to use ChatGPT/Claude/Copilot for prompt engineering, content automation, and process efficiency. Exceptional wr ... (truncated, view full listing at source)
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