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 writing and visual design skills. You can turn a 20-page product brief into a 2-minute "What You Need to Know" video or deck.
- Highly organized with experience using Asana, Monday.com, or Jira to manage multiple overlapping workstreams.
- Ability to travel domestically and internationally, but no more than 20% of work days in a year.
Preferred Qualifications:
- Experience building "Knowledge Graphs" or advanced content tagging schemas for enterprise-scale organizations.
- Familiarity with Value Selling, MEDDPICC, and Reverse Close Plans.
- Experience with Figma, Canva, or Synthesia for high-end, rapidly developed visual communication.
Why This Role?
This is a high-visibility "accelerator" role. You will have a front-row seat to how a global GTM engine runs, with the autonomy to experiment with the latest AI tools and the responsibility of proving the ROI of the entire department.
The base salary range for this position is 75,000 - 125,400 USD. This role may also be eligible for bonus, commission, equity, and/or benefits.
Our base salary ranges are determined by role, level, and location. The range, which is subject to change based on primary work location, reflects the minimum and maximum base salary we expect to pay newly hired employees for the position. Within the range, we determine pay for an individual based on a number of factors including market location, job-related knowledge, skills/competencies and experience.
Your recruiter can share more about the specific offerings for this role, as well as the salary range for your primary work location during the hiring process.
