Customer Education Operations Manager

Superhuman

2d•Hybrid

About The Position

Superhuman offers a dynamic hybrid model, and candidates in this role can be based remotely. You may be expected to travel to meet in person during your team’s scheduled collaboration weeks. Managers will determine in-person time according to business needs. About Superhuman Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company’s products include Grammarly’s writing assistance, Coda’s collaborative workspaces, Mail’s inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at superhuman.com and about our values here. The Opportunity Superhuman's Customer Education group is growing fast, and we're building the systems, data, and infrastructure that will define how we operate for the next several years. Today we run training webinars, publish educational content (guides, courses, in-product, email), and partner cross-functionally to drive product adoption across all segments. We're standing up an LMS, instrumenting how we measure learner outcomes, and seeding new formats we'll launch over the coming year. We're looking for a Customer Education Operations Manager to be the technical and operational backbone of the team. You'll own our tech stack and data, but more importantly, you'll operate like our own embedded engineer and systems thinker — helping run vendor evaluations, prototyping solutions when the right tool doesn't exist, and pulling AI into every corner of our work so the team moves faster without waiting on other orgs to invest cycles on our behalf.

Requirements

3+ years building and administering the technical systems behind a customer-facing function (education, marketing, CS, enablement, or similar)
Hands-on experience administering an LMS (LearnUpon, Skilljar, Docebo, or similar), including integrations, data export, and stitching it into a broader stack
You've 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
You’ve demonstrated the ability to work independently with minimal guidance, proactively manage tasks and priorities across multiple projects, analyze and execute work efficiently, collaborate effectively with cross-functional teams, and thrive in fast-paced, results-driven environments.

Nice To Haves

B2B SaaS experience preferred; exposure to customer education, enablement, or learning programs is a plus

Responsibilities

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
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
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
Partner closely with Data Science, Operations, Customer Success, Support, Product, and Engineering
Identify and prototype new educational programs, channels, and AI-powered experiences, running small experiments to validate technical and operational viability

Benefits

Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
Disability and life insurance options
401(k) and RRSP matching
Paid parental leave
20 days of paid time off per year
12 days of paid holidays per year
two floating holidays per year
flexible sick time
Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)
Annual professional development budget and opportunities