Senior Product Manager (Internal AI Tools) at Multiverse

London, England, United Kingdom

Multiverse Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
EdTech, AI, TechnologyIndustries

Requirements

  • Fluent in agentic AI and no-code platforms
  • Leverages AI tools as first instinct to solve problems
  • Highly effective operator who thrives in a fast-paced environment
  • Ability to drive change through product delivery, influence, rigorous follow-up, and solving ambiguous problems
  • Experience working with a wide range of internal stakeholders and managing external contractors (individual contributor role, not in a traditional engineering squad)

Responsibilities

  • Define the vision & roadmap: Own the product strategy for internal AI and no-code tools, ensuring alignment with coaches, instructors, and company goals
  • Deep user empathy: Conduct continuous user research (interviews, workshops) to gain insights into workflows, pain points, and needs of internal teams
  • Prioritize for impact: Ruthlessly define and prioritize features and projects based on user impact, business value, and technical feasibility, turning long-term goals into actionable, iterative steps
  • Build & ship AI-first solutions: Lead end-to-end development of internal tools—from rapid prototyping to full-scale deployment—using no-code platforms (e.g., Retool), agentic frameworks (e.g., Zapier/n8n), and data warehouse front-ends
  • Drive adoption & measure success: Manage tool launches, define and analyze key metrics (e.g., efficiency gains, user satisfaction), and iterate based on data
  • Collaborate on data architecture: Partner with engineering and data teams to define data pipelines, analytics, and infrastructure, ensuring security, privacy, and ethical AI use
  • Lead through influence: Act as trusted partner to senior operations and learning leaders, communicating complex concepts simply and making well-informed recommendations
  • Manage the tooling ecosystem: Own the inventory of deployed internal tools and the backlog for improvements, effectively resolving urgent issues

Skills

Product Management
Agentic AI
No-code Platforms
AI Agents
Data Warehouse
AI Tools

Multiverse

Provides professional apprenticeships for workforce development

About Multiverse

Multiverse focuses on workforce development through professional apprenticeships, providing on-the-job training programs that help individuals gain skills for high-paying jobs and career advancement. The company operates in the United States and the United Kingdom, partnering with various organizations to tailor apprenticeship programs to meet specific employer and individual needs. Unlike traditional hiring methods, Multiverse's approach is designed to be equitable and accessible, allowing diverse talent to succeed. The company also offers ongoing support and mentorship to apprentices, ensuring they can navigate their career paths effectively. Multiverse's goal is to create a diverse group of future leaders by transforming the way talent is developed and nurtured.

London, United KingdomHeadquarters
2016Year Founded
$402.7MTotal Funding
SERIES_DCompany Stage
Social Impact, AI & Machine Learning, EducationIndustries
1,001-5,000Employees

Risks

Competition from universities offering flexible, career-focused programs may challenge Multiverse.
Rapid AI development could outpace Multiverse's training program updates.
Economic downturns may reduce corporate spending on training, impacting revenue.

Differentiation

Multiverse offers AI-powered apprenticeships, a unique alternative to traditional university education.
The company partners with diverse industries, enhancing workforce skills through tailored programs.
Multiverse's acquisition of Searchlight boosts its AI capabilities and competitive edge.

Upsides

Partnership with Microsoft aims to skill 1 million people in AI by 2025.
Recent leadership appointments focus on financial growth and curriculum development.
AI-Powered Productivity apprenticeships are accredited and eligible for public funding in the UK.

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