AI Enablement Manager
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Job Description
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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 efficiently, 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.
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 equipment and productivity tools or learning/development opportunities
- Other benefits as allowed at the discretion of Epoch AI’s leadership and local availability
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. You don’t need to write the code yourself.
Product judgment. You start from the needs of the people who will use a tool. You think through how they will interact with it, including less common cases, and make deliberate choices about what to include and leave out. You aim for tools that are coherent, easy to use, and well suited to their purpose.
Resourcefulness and adaptability. You enjoy exploring unfamiliar problems and finding ways to solve them. You can learn new tools, question an initial approach, and find alternatives when it falls short.
An aptitude for teaching and coaching. You enjoy helping others become more capable. You listen carefully to understand their work and what they find difficult, adapt your explanations to their experience, and make people comfortable asking questions. You help colleagues apply AI to their own tasks and develop the confidence and judgment to use it independently.
Autonomy and reliability. You can set your own priorities and follow through without being prompted. You would often be the only person working on a given problem.
Mission alignment. You understand and share Epoch’s mission.
A background in software engineering is not required. These qualities describe our ideal candidate, but you don’t need to tick every box to be a great fit.
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Epoch AI
View Company ProfileEpoch AI is a premier, enterprise-grade artificial intelligence research platform engineered to orchestrate massive-scale machine learning ecosystems and intelligent forecasting workflows. Operating as a highly integrated computational data hub, the company eliminates the operational friction of traditional siloed AI research by seamlessly deploying advanced compute tracking telemetry, rigorous algorithmic forecasting architectures, and cohesive data science frameworks. Moving beyond rigid legacy market analysis, Epoch AI empowers global AI labs, enterprise technology conglomerates, and elite researchers to dynamically synchronize their strategic roadmaps with world-class machine learning intelligence. Under the hood, their sophisticated analytical infrastructure natively handles complex model performance ingestion, instantaneous computational scale monitoring, and seamless trajectory forecasting, ensuring frictionless strategic readiness and uncompromising data governance. What sets Epoch AI apart is its uncompromising dedication to frictionless AI orchestration; by bridging the gap between raw computational data and strategic foresight, the platform empowers organizations to radically accelerate their innovation velocity, optimize compute bandwidth, and build an unassailable foundation for continuous dominance in the artificial intelligence landscape.
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