LeethubLeethub
JobsCompaniesBlog
Go to dashboard

Leethub

Curated tech jobs from FAANG and top companies worldwide.

Top Companies

  • Google Jobs
  • Meta Jobs
  • Amazon Jobs
  • Apple Jobs
  • Netflix Jobs
  • All Companies →

Job Categories

  • Software Engineering
  • Data, AI & Machine Learning
  • Product Management
  • Design & User Experience
  • Operations & Strategy
  • Remote Jobs
  • All Categories →

Browse by Type

  • Remote Jobs
  • Hybrid Jobs
  • Senior Positions
  • Entry Level
  • All Jobs →

Resources

  • Google Interview Guide
  • Salary Guide 2025
  • Salary Negotiation
  • LeetCode Study Plan
  • All Articles →

Company

  • Dashboard
  • Privacy Policy
  • Contact Us
© 2026 Leethub LLC. All rights reserved.
Home›Jobs›Multiverse›Knowledge & AI Enablement Manager
Multiverse

About Multiverse

Empowering the workforce for the AI era

🏢 Tech👥 501-1000 employees📅 Founded 2016📍 Paddington, London, UK💰 $414m
B2CB2BArtificial IntelligenceEnterpriseEducationInternal toolsTrainingSaaSSocial ImpactProduct

Key Highlights

  • Over 1,500 corporate partners including Google & Facebook
  • Raised $414 million in Series C funding
  • Paddington, London headquarters with 501-1000 employees
  • Learners have generated over $2B in ROI for employers

Multiverse is an upskilling platform focused on AI and tech adoption, partnering with over 1,500 companies including Google and Facebook. Headquartered in Paddington, London, Multiverse has raised $414 million in funding and employs between 501-1000 people. Their innovative approach to work-based tr...

🎁 Benefits

Employees enjoy a focus on wellbeing with access to Spill therapy support, an Employee Assistance Programme, and free gym memberships through Wellhub....

🌟 Culture

Multiverse fosters a culture centered on practical, work-based learning that empowers individuals at any career stage. Their commitment to measurable ...

🌐 Website💼 LinkedIn𝕏 TwitterAll 48 jobs →
Multiverse

Knowledge & AI Enablement Manager

Multiverse • London

Posted 2 months ago🏛️ On-SiteMid-LevelKnowledge manager📍 London
Apply Now →

Job Description

Multiverse is the upskilling platform for AI and Tech adoption.

We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today’s workforce.

Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance.

In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK’s first EdTech unicorn.

But we aren’t stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We’re building a world where tech skills unlock people’s potential and output.

Join Multiverse and power our mission to equip the workforce to win in the AI era.


Your Mission

Reporting into the Senior Manager, Support Services, you’ll play a pivotal role in ensuring our AI and human support experiences are powered by accurate, structured, and engaging knowledge. You’ll translate complex product and process updates into clear, actionable content for learners, coaches, and internal teams — and design how that knowledge is communicated by our AI Agent.

This is a hands-on role for someone who thrives at the intersection of knowledge management, content design, and conversational AI, and who’s passionate about creating support experiences that are not only efficient but also human and helpful.



Once Here, You Will

  • Create and maintain structured, reusable knowledge (macros, snippets, internal guides, help articles) that keep both our human and AI agents informed and consistent.

  • Translate product and process changes into clear, well-structured knowledge for internal teams and end-users.

  • Design and refine conversational flows, tone, and handoff logic so our AI Agent communicates naturally and on-brand.

  • Optimise knowledge structures, metadata, and tagging so content is easily discoverable by both humans and AI systems.

  • Partner with the AI Operations Lead to audit and improve AI response quality, retrieval accuracy, and content alignment.

  • Develop and govern content standards, taxonomy, and review processes to maintain accuracy and scalability.

  • Collaborate with Product, GTM and Operations to document new workflows and ensure knowledge reflects current processes.

  • Analyse conversation data and feedback to identify knowledge gaps, content improvements, and opportunities for automation.

  • Continuously tune tone, clarity, and structure based on user feedback and AI performance data.

  • Act as the bridge between AI and human support — ensuring every response, whether automated or manual, feels clear, empathetic, and consistent.


Qualifications

  • 3–5 years’ experience in knowledge management, content design, support enablement, or conversation design within a SaaS, B2B, or tech environment.

  • Exceptional writing and editing skills — able to translate complex information into clear, concise, and engaging content.

  • Experience managing knowledge bases, macros, or structured content repositories.

  • Familiarity with AI support tools, LLM-based systems, or AI knowledge ingestion processes.

  • Understanding of taxonomy, metadata, and content governance frameworks.

  • Strong analytical mindset — able to interpret usage data, feedback, and AI metrics to improve content and workflows.

  • Excellent collaboration and stakeholder management skills across Product, Ops, and Support.

  • Comfortable in a fast-paced environment with evolving tools, systems, and processes.


While It’s Not Required, It’s an Added Plus If You Have

  • Experience designing or tuning AI or chatbot conversations (e.g., Intercom Fin, ChatGPT, or custom LLMs).

  • Exposure to AI prompt design, retrieval-augmented generation (RAG), or AI training data structuring.

  • Background in UX writing, technical documentation, or enablement content strategy.

  • Experience in global or multi-market support environments.


How Success Will Be Measured

  • Accuracy and freshness of internal and external knowledge assets.

  • AI retrieval and response quality improvements over time.

  • Reduction in manual escalations through improved AI and self-serve content.

  • Consistency and tone alignment across AI and human responses.

  • Stakeholder satisfaction with content and process documentation.


Benefits

  • Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year

  • Health & Wellness- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support

  • Hybrid work offering - we collaborate in the office 3 days per week

  • Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year

  • Team fun - weekly socials, company wide events and office snacks

Our commitment to Diversity, Equity and Inclusion

We’re an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here.

Right to Work

Do you have the right to work in the UK? Unfortunately, at this time we cannot offer sponsorship for this role and we cannot consider overseas applications.

Safeguarding

All posts in Multiverse involve some degree of responsibility for safeguarding. Successful applicants are required to complete a Disclosure Form from the Disclosure and Barring Service ("DBS") for the position. Failure to declare any convictions (that are not subject to DBS filtering) may disqualify a candidate for appointment or result in summary dismissal if the discrepancy comes to light subsequently.

Interested in this role?

Apply now or save it for later. Get alerts for similar jobs at Multiverse.

Apply Now →Get Job Alerts