SENIOR MANAGER, ARTIFICIAL INTELLIGENCE

Compass Group•San Francisco, CA

9d•$170,000 - $185,000•Hybrid

About The Position

Our culinary and hospitality operations are continuing to advance in the use of AI to enhance, make efficient, and increase value outputs across our operations. We are looking for an individual to support a high level account directly to take these advancements to the next and customized level. This is not a research role and not a traditional engineering role. It is a builder-operator role for someone who is equally comfortable writing Python, sitting in a district operations review, and running a training session for people who are skeptical of AI. Please note, this is a hybrid position that sites on site at Bon Appettit in San Franciso, CA.

Requirements

5+ years in business systems analysis, technical product management, or a closely adjacent role — someone who has translated messy operational problems into working systems and owned the outcome.
Demonstrated hands-on AI tool building. Bring examples: custom GPTs, agents, automations, or applications you built and that other people actually used. We will ask what broke and how you fixed it.
Working proficiency in at least one of Python, SQL, or JavaScript for lightweight development and data work. You do not need to be a software engineer. You do need to read, write, and debug your own code.
Process improvement and change management experience. You've rolled something out to people who didn't ask for it and gotten adoption anyway.
Ability to teach non-technical users. Clear, patient, jargon-free, and able to hold a room.
Executive-level communication. Your written work should be ready to put in front of a senior leader or a client without a rewrite.

Nice To Haves

Microsoft Power Platform (Power Apps, Power Automate, Power BI) and advanced Excel automation
Foodservice, hospitality, retail, or multi-unit operations background — or genuine curiosity about how a kitchen and a P&L actually work
Experience supporting field teams across distributed locations
Exposure to AI governance, data classification, or responsible-use frameworks

Responsibilities

AI Adoption & Opportunity Identification: Work directly with operations, culinary, finance, HR, and safety leaders to find where AI and automation create real leverage. Build and maintain a prioritized opportunity pipeline with sizing, effort, and expected impact. Say no to the low-value requests so the high-value ones ship.
Solution Development: Design, build, and maintain solutions using ChatGPT, Codex, Power Platform, and lightweight scripting. Ship working tools, not decks about tools. Own them through iteration and adoption, not just first release.
Training & Enablement: Make our operations teams self-sufficient — build the curriculum, documentation, and prompt libraries. Run live sessions and office hours. Success is measured by how much people build without you, not by how much they depend on you.
AI Governance & Best Practices: Establish the practical guardrails: what data can go where, how outputs get reviewed before they reach a client, how tools get documented and handed off, when to build versus buy. Partner with IT, Legal, and Information Security rather than duplicating them.