AI Ops Engineer GTM - Agiloft

Agiloft is looking for an AI Ops Engineer, GTM to shape and execute our AI vision across Sales, Marketing, Customer Success, Revenue Operations, and the broader revenue function. Equal parts strategist and builder, this role partners with GTM leadership and AI Operations to prioritize and deliver high-impact AI solutions that drive growth and streamline revenue workflows.

Position Overview

Reporting to the SVP GTM Intelligence with a dotted line to the VP AI Operations, you will serve as Agiloft's dedicated AI practitioner for the go-to-market organization. You will remain actively involved with customers and the sales process to identify friction points, experiment with AI-powered GTM patterns, and scale successful initiatives across the revenue engine.

Key Responsibilities

AI Vision & GTM Strategy

• Serve as the primary AI thought leader for GTM, identifying and prioritizing high-value opportunities across Sales, Marketing, Customer Success, and RevOps.
• Develop and maintain a GTM-specific AI roadmap aligned with the broader AI Operations strategy.
• Ground AI priorities in market realities by engaging directly with customers and the sales process.
• Contribute the GTM perspective to Agiloft's external AI narrative and measure impact through adoption, productivity, pipeline influence, and revenue metrics.

AI Execution & Workflow Optimization

• Design, scope, and build AI copilots, agents, retrieval-augmented workflows, and human-in-the-loop automations for pipeline management, outbound sequences, customer health, content generation, and meeting intelligence.
• Own end-to-end delivery of large-scale GTM AI solutions from concept to production.
• Partner with and coach the GTM AI Builders community to advance build maturity.
• Monitor deployed tools and automations, iterating based on adoption data, feedback, and changing business needs.
• Evaluate GTM-relevant AI tooling and bring recommendations to AI Operations for platform alignment.

Continuous Experimentation & Alignment

• Stay current on agentic workflows, LLM integrations, automation platforms, and AI-assisted coding tools.
• Operate within the AI Builders Program at the L4 AI Ops level, registering builds in the AI Build Registry and complying with governance policies.
• Maintain clear communication with leadership on build status, opportunities, and blockers; coordinate with Data Architects on Snowflake access and data pipelines.
• Coach GTM teams on responsible AI adoption and help increase overall AI fluency.

Required Qualifications

• Bachelor's degree in Business, Marketing, Information Systems, a related field, or equivalent practical experience.
• B2B SaaS experience in a GTM, revenue operations, or customer-facing role with exposure to the full revenue cycle.
• Experience with CRM, marketing automation, or CS platforms (Salesforce, HubSpot, Gainsight, Outreach) as an admin, power user, or AI integration target.
• 1 to 3 years of direct experience leading AI optimization of GTM workflows with demonstrated results.
• Base-level Python scripting skills to read, modify, and execute automation scripts, plus commitment to deepen technical skills.
• Foundational knowledge of RAG, embeddings, prompt engineering, agentic workflows, and LLM-powered integrations.
• Familiarity with AI workflow orchestration platforms (n8n, Tines, LangChain) and AI-assisted coding tools (Claude Code, OpenAI Codex).
• Strong customer orientation with experience engaging buyers and understanding buying journeys.
• Ability to work as a credible strategic partner to senior GTM leaders.

Preferred Qualifications

• Familiarity with CLM, legal tech, eDiscovery, or enterprise software serving legal, procurement, or finance buyers.
• Exposure to enterprise AI governance practices, intake processes, and policy-based controls.
• Familiarity with Snowflake or cloud data platforms for AI use cases.
• Experience participating in customer events, industry conferences, or field sales activities.
• Experience in a private equity-backed SaaS organization.