AI/Automation Analyst

Requirements

• 5+ years in revenue operations, sales operations, marketing operations, business systems, data analytics, automation, or applied AI, with strong exposure to GTM workflows.
• Demonstrated hands-on building: you have shipped AI-enabled workflows, automations, agents, or internal tools that real users adopted, and you can explain what you built, why it mattered, and how you measured impact.
• Strong data fluency, including SQL and advanced spreadsheet analysis, with the ability to size an opportunity, define baseline metrics, and build reporting that proves whether the work created value.
• Working knowledge of the GTM technology stack, including CRM platforms such as Salesforce or HubSpot, marketing automation, sales engagement, conversation intelligence, customer success, support, and reporting tools.
• Experience with LLM APIs, agent-building platforms, prompt design, structured outputs, retrieval or knowledge grounding, tool/function calling, and practical guardrails for production use.
• Experience with automation and integration tooling such as Zapier, Make, n8n, Workato, Tray.io, native CRM flows, webhooks, or API-based integrations.
• Comfort with light scripting or technical configuration, preferably Python or JavaScript, APIs, JSON, data transformation, and troubleshooting across systems.
• Practical understanding of evaluation, testing, monitoring, failure handling, privacy, security, and cost management for AI-enabled workflows.
• Strong stakeholder management skills, with the ability to ask good questions, translate between business needs and technical constraints, and challenge requests when the business case is weak.
• Self-directed and outcome-oriented. This role is defined by what you discover, build, launch, and improve, not only by what you are assigned.
• Nice to Have
• Experience in a B2B services, SaaS, MSP, technology, or complex sales environment.
• Familiarity with RAG, vector databases, embeddings, re-ranking, evaluation harnesses, or AI observability tools.
• Experience with data warehousing, reverse ETL, BI tooling, or analytics engineering.
• Experience supporting sales productivity, sales enablement, forecasting, renewal management, or customer lifecycle workflows.
• Prior exposure to AI SDR, conversation intelligence, forecasting, proposal generation, or account planning tools.
• This Role Is a Strong Fit If
• You like ambiguous, high-impact problems and can turn them into a practical sequence of work.
• You are comfortable challenging assumptions, but you do it constructively and with the goal of creating a better answer.
• You care about adoption as much as architecture.
• You can move between executive-level business context and detailed workflow design without losing the thread.
• You are energized by building the operating model for how AI becomes part of daily GTM execution.