Technical Platform Analyst, Enablement Systems

• Platform Administration: Execute end-to-end technical platform management, seamless taxonomy, user permissioning, system health and critical integrations (Salesforce, Gong, Snowflake, etc.) without disrupting field operations.
• Operationalize Content Strategy & Governance: Enforce governed content architecture, metadata standards, versioning control, and ownership structures within our enablement tools, ensuring knowledge remains governed, reusable, and relevant.
• Optimize Search & In-Flow Delivery: Monitor and configure search algorithms, AI prompt workflows, and content delivery mechanisms within enablement platforms to ensure sellers can quickly find, learn, and do in the flow of their daily workflow.
• Drive Platform Analytics & Reporting: Monitor, analyze, and report on platform health, content reuse, search queries, and adoption metrics to give leadership actionable insight into content quality and knowledge performance.
• Partner Cross-Functionally: Collaborate with Global Enablement, GTM Ops, Sales Leadership, Product Marketing, IT, and other content owners to troubleshoot system friction, refine intake workflows, and translate business needs into technical functionality.
• Support AI-Enabled Content Delivery: Maintain the metadata, structure, and permissions that allow AI assistants, agents, and search to retrieve accurate, current, and appropriately scoped content, and monitor the quality of AI-generated answers and outputs.
• Evaluate AI Features and Integrations: Test new AI capabilities and integrations (e.g., MCP connections, AI assistants, generated content and role-play features), document findings, and recommend enablement and rollout approaches.

• Experience: Have 3–5+ years of experience in enablement technology administration, revenue operations, or sales technology management. SaaS industry experience is preferred.
• Platform Mastery: Possess hands-on administrative expertise with revenue enablement content or learning platforms. Experience supporting large scale platform migration, taxonomy structures, and metadata tagging protocols.
• Technical & Governance Acumen: Understand knowledge management architectures and content lifecycle governance.
• Analytical & Data-Driven: Demonstrate competency in leveraging platform analytics and usage data to identify content gaps, measure adoption, and optimize system performance.
• Execution & High-Performance Mindset: Thrive in fast-paced environments, navigating change with agility, self-motivation, choosing ambition over comfort, and consistently raising your own bar.
• Cross-functional Collaboration: Exhibit strong interpersonal and problem-solving skills with a proven ability to work collaboratively across cross-functional teams with competing priorities.
• Technical Support Mindset: Strong service orientation with experience troubleshooting technical issues, resolving platform friction, and supporting Sales, Partners, or Customer Success users with patience and urgency.
• AI and Knowledge Fluency: Working knowledge of how AI-native enablement tools ingest, index, and retrieve governed content, and of how content quality, metadata, and permissions affect AI output accuracy.
• Preferred: Hands-on experience with AI assistants, prompt-based workflows, or MCP-style integrations; familiarity with AI role-play or coaching tools; experience with AI content governance, including review, accuracy, and appropriate-use controls.

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