AI Agent Manager, Commercial

Role Overview

• Identify and evaluate high value opportunities to deploy AI agents across the sales function.
• Design, configure, and deploy AI agents and automated workflows using LLMs, APIs, and integration tools.
• Reduce manual effort in repetitive commercial workflows by embedding AI agents into daily sales activities.
• Drive bottom up adoption by working directly with sales teams and individual contributors.
• Ensure AI agents operate on clean, reliable data by working with revenue operations and data teams.
• Define and track KPIs for each deployed agent.
• Partner with Product, Engineering, and IT to align agent deployments with platform capabilities.
• Stay current with emerging AI capabilities, LLM developments, and automation tools.
• Maintain clear documentation for all deployed agents including design rationale and configuration.
• Evaluate and recommend AI tools, platforms, and vendors relevant to commercial use cases.

Requirements

• Bachelor degree in Business, Computer Science, Data Science, or related discipline.
• Certifications in AI, machine learning, or automation platforms are a plus.
• 3 to 5 years experience in sales operations, revenue operations, or commercial process improvement roles.
• Demonstrated experience deploying AI tools, LLM based agents, or workflow automation in a B2B sales environment.
• Experience with CRM systems, sales enablement tools, and data pipelines.
• Track record of driving adoption of new tools and processes across commercial teams.
• Strong understanding of LLMs, prompt engineering, and AI agent frameworks.
• Practical experience with automation platforms and API integrations.
• Sales process knowledge including pipeline management, quoting, proposal generation, and customer communications.
• Data analysis and KPI design skills.
• Change management ability to drive adoption bottom up without formal authority.
• Strong communication skills to translate technical concepts for commercial audiences.
• Proficiency in Anthropic’s Claude platform including Claude for Enterprise and Claude Teams administration, user provisioning, workspace configuration, and usage policy management.
• Hands on experience with Claude Cowork mode for desktop automation, including skill creation and management (SKILL.md authoring), custom plugin development and deployment, and scheduled task configuration using cron based scheduling.
• Experience with Claude Code CLI for agentic coding workflows, including hooks, slash commands, and MCP (Model Context Protocol) server integration for connecting Claude to enterprise data sources and third party tools.
• Ability to design and implement agentic loops and multi step agent workflows, including tool use patterns, iterative reasoning chains, sub agent orchestration, error recovery loops, and human in the loop approval gates.
• Advanced prompt engineering for Claude models including system prompts, structured output formatting, tool definitions, chain of thought techniques, and context window optimisation for enterprise scale document processing.
• Working knowledge of the Anthropic API including Claude Agent SDK, tool use (function calling), streaming responses, batch processing, and model selection across Claude Opus, Sonnet, and Haiku variants for cost and latency optimisation.
• Familiarity with enterprise connectors and integrations within Claude ecosystem including Microsoft 365 (Outlook, Teams, SharePoint), browser automation via Claude in Chrome, and third party MCP connectors for operational data sources.
• Understanding of AI safety, security, and governance principles including prompt injection defence, content filtering, data privacy controls, audit logging, and compliance with enterprise security policies when deploying AI agents at scale.
• Continuous learning in AI, LLMs, and automation expected.