Customer Education Operations Manager

Superhuman Superhuman · Consumer · United States · Remote · Managed

This role is responsible for the technical and operational backbone of the Customer Education team, owning the tech stack, data pipelines, and integrations. It involves supporting vendor evaluations, prototyping solutions, and leveraging AI to enhance team efficiency and develop new educational programs and AI-powered experiences. The role requires a builder's instinct and strong systems thinking to integrate AI into various aspects of customer education.

What you'd actually do

  1. Own our Customer Education tech stack (LMS, content tools, data pipelines, and the integrations between them) so the team can run programs and ship content without operational drag
  2. Build the reporting and instrumentation that lets us (and our cross-functional partners) see what's actually working: content performance, training engagement, and the downstream impact on product adoption and retention
  3. Support vendor evaluations, procurement, and build-vs-buy decisions end-to-end; defining criteria, running the process, and prototyping alternatives when buying isn't the right answer
  4. Partner closely with Data Science, Operations, Customer Success, Support, Product, and Engineering
  5. Identify and prototype new educational programs, channels, and AI-powered experiences, running small experiments to validate technical and operational viability

Skills

Required

  • 3+ years building and administering the technical systems behind a customer-facing function
  • Hands-on experience administering an LMS (LearnUpon, Skilljar, Docebo, or similar), including integrations, data export, and stitching it into a broader stack
  • Owned a content, education, or enablement production pipeline end-to-end: the intake, workflow, QA, and publishing systems that turn ideas into shipped programs at a steady cadence
  • Fluency with data infrastructure and BI tooling. You can query data and build your own dashboards without waiting on a data team
  • Demonstrated comfort with AI. You use it daily in your own work, have shipped automations or prototypes with LLMs, and understand how to leverage AI to empower a team
  • A builder's instinct. You've assessed the trade offs between build-vs-buy, scoped vendors, prototyped solutions, or stood up internal tools when the native option didn't exist or didn't fit
  • Strong systems thinking. You document clearly, anticipate second-order effects of tooling decisions, and build things that don't break when they scale
  • Proven ability to work across data, engineering, and ops partners, translating between technical and non-technical stakeholders without either side losing the thread

Nice to have

  • B2B SaaS experience
  • exposure to customer education, enablement, or learning programs

What the JD emphasized

  • AI-powered experiences
  • prototype solutions
  • build-vs-buy decisions
  • AI to empower a team
  • Hands-on experience administering an LMS
  • owned a content, education, or enablement production pipeline end-to-end
  • Fluency with data infrastructure and BI tooling
  • Demonstrated comfort with AI
  • A builder's instinct
  • Strong systems thinking

Other signals

  • AI-powered experiences
  • prototype solutions
  • build-vs-buy decisions
  • AI to empower a team