Senior Product Manager (Internal AI Tools)

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.

Product Manager, Internal Ai Tools

At Multiverse, we've built a new model for transforming today's workforce by combining expert human coaching with AI. We're on a mission to equip workers with the skills they need to win in the AI era.

We are seeking a Product Manager who is not just familiar with, but fluent in, agentic AI and no-code platforms. This is a role for someone who leverages AI tools as their first instinct to solve a problem.

The Role

You will be responsible for conceiving and building the AI-powered tools that are essential to the success of our most important internal users: our 200+ coaches and instructors. This includes a growing suite of AI Agents and user-friendly front-ends to our data warehouse, directly empowering our teams to deliver a world-class learning experience to our 15,000+ apprentices.

This is an individual contributor role, ideal for a highly effective operator who thrives in a fast-paced environment. You will drive change not only through product delivery but also through influence, rigorous follow-up, and the ability to solve ambiguous problems. You will work with a wide range of internal stakeholders and manage external contractors, rather than working within a traditional engineering squad.

What You'Ll Do

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.

What You'Ll Bring

We're looking for a specific blend of technical, product, and personal skills.

Core Experience & Skills

• Product Management: 5+ years of product management experience, ideally working on automations, AI/ML-adjacent products, or data warehouse front-ends.
• Hands-On No-Code/AI Fluency: 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).
• Generative AI Expertise: 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.
• Data Fluency: Strong ability to define and track metrics, understand data models, and collaborate effectively with data and engineering teams.
• Stakeholder Management: A proven ability to manage senior stakeholders, influence without direct authority, and drive complex projects cross-functionally.

About You

• User-Obsessed: You are passionate about understanding user needs and skilled in a variety of user research methods.
• An "Operator" at Heart: You have a bias for action, can turn ambiguity into a clear plan, and have a strong sense of maintainability, security, and performance.
• Trusted Collaborator: You are a source of developmental feedback for peers and help create an inclusive environment where different perspectives are welcomed.
• Ethical & Secure Mindset: A strong understanding of the privacy, security, and ethical implications of AI, especially in an educational context.

Bonus Points

• Experience In Edtech.

• Direct experience building and maintaining internal tools that a large team depends on.

Success In Your First 90 Days Looks Like...

• Rebuild & Deliver: You will have rebuilt at least one legacy tool, delivering a measurable efficiency improvement (e.g., reducing coach prep or administrative tasks by X hours per week).
• Establish Baselines: You will have defined and begun tracking baseline metrics (usage, satisfaction, reliability) for our key internal tools.
• Build the Roadmap: You will have conducted workshops with key stakeholders (coaches, instructors, ops) to map the current tool landscape and user pain points.
• Prioritize for Impact: You will have established a clear, prioritized roadmap for internal tools that balances business impact, maintenance needs, and technical risk.

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.