Product Manager developing AI-powered tools for internal coaches at Multiverse. Leading strategy, execution, and user research to enhance learning experiences for apprentices.
Responsibilities
You will own the end-to-end lifecycle for our internal AI and no-code products. We've grouped the key responsibilities into three core themes:
**1. Strategy & Discovery**
**Define the Vision & Roadmap:** Own the product strategy for our internal AI and no-code tools, ensuring alignment with our coaches, instructors, and company goals.
**Deep User Empathy:** Conduct continuous user research (interviews, workshops) to gain deep insights into the workflows, pain points, and needs of our 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.
**2. AI-First Execution & Delivery**
**Build & Ship AI-First Solutions:** Lead the end-to-end development of internal tools—from rapid prototyping to full-scale deployment—using no-code platforms (like Retool), agentic frameworks (like Zapier/n8n), and data warehouse front-ends.
**Drive Adoption & Measure Success:** Manage the launch of new tools, 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 the data pipelines, analytics, and infrastructure needed to power your tools, ensuring security, privacy, and ethical AI use.
**3. Collaboration & Operational Excellence**
**Lead Through Influence:** Act as a 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 our deployed internal tools and the backlog for improvements, effectively resolving urgent issues and removing obstacles.
Requirements
5+ years of product management experience, ideally working on automations, AI/ML-adjacent products, or data warehouse front-ends.
Deep, hands-on experience building and integrating tools with no-code/low-code platforms (e.g., Retool, Replit), agentic platforms (e.g., Zapier, n8n), and data warehouses (e.g., Snowflake).
Proven fluency in modern AI capabilities, including generative AI and prompt engineering, with a track record of applying them to solve real-world business problems.
Strong ability to define and track metrics, understand data models, and collaborate effectively with data and engineering teams.
A proven ability to manage senior stakeholders, influence without direct authority, and drive complex projects cross-functionally.
Benefits
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
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
Weekly socials, company wide events and office snacks!
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