AI Operations Manager

Role Overview

• Own internal adoption of Claude Enterprise and every custom workflow our specialist partners ship. Train users across the firm, both the technically fluent and the technically reluctant, on what is available, how to use it well, and where AI fits in their day.
• Bridge technical and non-technical team members. Help senior team members who do not write code see how AI can change their workflows. Help technical team members get past the rough edges and into productive use.
• Operate the workflows in production: monitor usage, gather user feedback, triage bugs and feature requests, surface them to our specialist partners with the context they need, and close the loop with users when fixes ship.
• Light technical work: write small Python scripts and Excel automations where they bridge a gap or unblock a workflow. Debug AI skills when they misbehave. Maintain the shared workspace structures the AI tools depend on.
• Manage the Claude Enterprise account: seat management, settings, billing reconciliation, access controls, security policy compliance with our IT partners, and quarterly platform reviews with our specialist partners.
• Surface the next wave of opportunities by being embedded with the team long enough to see where time is being wasted. Propose ideas; help scope and prioritize them.
• Represent Bridgepoint in working sessions with our outside AI specialists: translate business needs into technical asks, and translate technical proposals back into business outcomes.
• (For the right candidate) coordinate with firm leadership and the AI specialists to help build and implement new workflows, not as the lead developer, but as the connective tissue between what the firm needs and what gets built.

Requirements

• 5–10 years of private-sector operations experience. Industry is open; we care about the operational instincts, the comfort working across functions, and the track record of making things run better.
• You are a generalist, not a software developer. We are explicitly not hiring a software engineer. We are hiring someone who has lived on the business side, picked up technical skills along the way, and can move comfortably between the two.
• A technical orientation. You are the person on your current team who figures out the new tool first. You like working with technology, you are curious about how things work under the hood, and learning a new system is not intimidating.
• Excel power user. You can build and maintain complex models, you are comfortable with messy real-world spreadsheets, and you are not afraid of VBA when it is the right tool.
• Working Python literacy. You do not need to be a developer, but you can read Python comfortably, write small scripts to automate a repetitive task, install a package, and debug an error message.
• Comfort with AI tooling. You have used Claude (or a comparable AI assistant) seriously enough to have opinions about prompt structure, when AI works and when it does not, and what makes a workflow worth automating versus leaving alone.
• A genuine ability to teach. Half this job is helping colleagues (some highly technical, some not at all) get past their resistance or uncertainty and into productive use. Patience, clarity, and a knack for meeting people where they are matter as much as any technical skill.
• A bias toward shipping. You would rather get a workflow 80% solved this week than wait six months for the perfect solution.
• Strong written and verbal communication. Half this job is helping team members articulate what they need; the other half is helping outside specialists understand what the team actually does all day.
• Direct experience administering a SaaS platform at a small-to-mid-sized firm.
• Experience training adult professionals on new tools, especially in a setting where the trainees ranged from very technical to not at all technical.
• A track record of being the person a team brought in to "figure out the new system" or "get this tool working for us."

Tech Stack

• Python
• VBA