AI Enablement Manager at Patreon · LumiJobs

Responsibilities

Patreon runs on a modern AI stack (Claude, Zapier, Replit, Gemini, Databricks and more), and most of the company uses it daily. What we have not yet built is the connective tissue between the people who know their workflows best and the practices that turn those workflows into durable, governed tools.
This role owns that connection. You will work alongside teams across the company to redesign how work gets done, in two directions at once: building new workflows and tools with AI, and making existing workflows AI-enabled so that the systems people already rely on become faster and smarter. Some of that you will build yourself. Some of it will help enable non-eng teams to build. All of it you will ship with the same discipline necessary to maintain systems over time: version control, review, testing, staged rollout, monitoring and a clear ownership.
The scope is company-wide and the role is an individual contributor with real autonomy. You will set the roadmap, run intake, and be accountable for a portfolio of deliverables and the metrics behind them.
These deliverables support Patreon's push for operating leverage: a company where every function gets measurably more done as AI becomes part of how work happens, without trading away data integrity or trust. Rough time allocation is a guide, not a rule.
Partner with Engineering to enable non-Eng teams to build internal tools (about 25%)
Operate as the standing bridge between business functions and Engineering. Write problem statements, MVP definitions, data contracts and success criteria that engineers can build to support non-eng tooling.
Carry prototypes into internal production in partnership with Engineering: participate in design and code review for internal tools, and own the business side of launch and post-launch iteration
Co-own, with Engineering and Security, the standards for how AI-enabled workflows touch production data: data classification, read and write permissions, connector and agent approval, audit logging, retention, and what must never leave a governed environment
Help Engineering prioritize internal tooling work by bringing quantified business impact, clear scope and committed business owners to the table
Dissect workflows and co-build automation with their owners (about 30%)
Map high-friction workflows end to end with the people who run them, and identify where AI removes steps, where it augments judgment, and where it should stay out
Co-build with the owner using no-code and low-code platforms (Zapier, Claude, Replit, Google Workspace, Slack). The owner leaves able to run, monitor and extend what you built together

AI Enablement Manager

Responsibilities

Qualification

Required

Benefits

Company

Patreon

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