AI Enablement Manager

Epoch AI is looking for an AI Enablement Manager to help our team better utilize AI in our workflows. You would build and run automations that take routine work off people’s plates, keep our shared automations running smoothly, and help researchers and operations staff use frontier models better in their work.

About the Role

Epoch already takes AI enablement work seriously. Since March 2026, we have had someone dedicated to this role. We have developed several dozen automations and put considerable effort into integrating Claude Tag (Claude’s Slack add-on) with all the services our staff use.

The work has two halves:

• Automate. Identify recurring work a system can do most of, and build that system. Some automations replace monotonous work we’ve been doing manually. Others do valuable work we haven’t had the internal capacity to do.
• Upskill. Help people use AI themselves: onboarding, written guidance, one-to-one coaching, and shared infrastructure such as skills, prompt libraries, and tool integrations.

A key part of the job is judgment, not building. We could automate far more than one person can build. So you would rank opportunities by their expected value to the organization.

Practicalities

Location: Global, Remote.

Work Hours: Flexible, work between UTC+2 and UTC-8.

Travel Requirement: Employees are expected to attend our 3 in-person retreats each year (locations vary).

Compensation: Annual salary of $125k - $155k USD, exact offer will factor in experience and location. Salaries are not restricted to USD; contracts and payments are usually in local currencies, converted at one-year average exchange rates. 

Benefits:

• Comprehensive health insurance program, including supplemental benefits specific to a local country, as available and mandated by local law
• Life insurance and retirement contributions plan, if applicable in your country
• Unlimited PTO with a recommend minimum of 30 days off per year (including public local holidays and vacation time)
• Unlimited personal and sick leave
• Parental leave — up to 4 months of paid leave for permanent staff with at least 12 months of tenure, prorated for those with less tenure, to be taken within the first year after a child’s birth or adoption
• A flexible and generous expense policy for you to spend on equipment and a large range of productivity tools or learning/development opportunities you might find valuable, subject to regulations and manager approval.
• Other benefits as allowed at the discretion of Epoch AI’s leadership and local availability

Application Deadline: Applications are reviewed on a rolling basis. We encourage you to apply early

Start Date: As soon as the successful candidate is available

Reports to: COO

What You’ll Own

• Own Epoch’s portfolio of AI automations: keep the production systems running, fix them when they break, and retire the ones that have stopped earning their maintenance.
• Build automations for operations, communications, and research support. Understand colleagues’ needs and involve them in testing and refining the result.
• Prioritize deliberately. Estimate each project’s value, then use that to decide what to build next.
• Run our shared AI tools: Claude in Slack, the integrations that connect it to our systems, and the skills and prompts staff share. Review new tools and models as they come out, and recommend the ones worth adopting. Oversee our AI tool spend.
• Help staff use AI better. Run onboarding for new hires, write practical guidance, and offer one-to-one help. Keep our AI support channels a place where people are comfortable asking basic questions.
• Make each automation straightforward to hand over. Record how it works and how to maintain it, and ensure Epoch controls the accounts and access it depends on.
• Maintain the automations dashboard and report regularly on what changed: which workflows improved, for whom, and by how much.

About You

• Extensive practical experience with AI. You have used coding agents to turn ideas into working tools and can take a project from initial problem to deployment. You experiment with new capabilities and judge whether they improve your work.
• A systematic approach to building with AI agents. You can translate a need into clear specifications, break work into manageable tasks, and assess design trade-offs. You understand how the resulting system fits together and can direct agents to implement it….