AI Product Manager

About Fuse Universal 

We're Fuse. And our mission is to help our customers unlock the knowledge and expertise that their people need to improve their skills and perform in their work. Enabling everyday learning moments isn’t just our motto, it’s why our clients choose us to help power their organisational learning culture. With our award winning AI powered platform, we are proudly redefining the way that people and organisations learn and communicate. 

From our beginning in London 2010, we now have over 110 employees located across the globe from South Africa, the US, Mainland Europe, India, Singapore and the UK. We encourage each Fuser to decide where they perform at their brilliant best. We invest in our people and culture, offering competitive financial, health, social and security benefits as well as working remotely but collaboratively through our platform. 

We're on the lookout for the next passionate and ambitious person to join our mission. Are you ready to be part of the Fuse tribe? We would love to hear from you!

About this role

As an AI and Discovery Product Manager, you’ll be responsible for leading the success of the discovery area of the product by continuing to drive our AI and discovery strategy. In this remote position, you will work closely with cross-functional teams to solve problems and seize opportunities that drive value for our customers, ensuring they align with the overall product vision defined by the Chief Product Officer. 

About the team

The Product-Technology team at Fuse is made up of the Product, Tech and QA functions. Within Product, you will be part of the Product Management team, who work alongside Product Design and a new Product Ops team. In Tech, we have Engineering and the Platform team. In QA, the team is split between Analysts and Automation. Our squad structure has a permanent Product Manager, Lead Engineer and Lead QA Analyst, these squads are guided by KPIs, which is how the success of your role will be measured, along with broader impact areas.

As the PM for the Discover Squad you will be responsible for improving our discovery, search and AI agent tools. 

Your Responsibilities

• Product Strategy:
• Develop and execute a product strategy aligned with business objectives and AI opportunities.
• Conduct market research and competitive analysis to track AI industry trends.
• Define and communicate the product vision, mission, and value proposition.

• Product Planning:
• Create product roadmaps and prioritise features based on customer needs, business goals, and AI capabilities.
• Translate business needs into actionable product features, enhancing or automating processes with AI.
• Develop product specifications, including user stories, feature requests, and KPIs.
• Collaborate with engineering and design teams to ensure feasibility and impact.
• Product Development and Launch:
• Lead AI product development, ensuring best practices and cross-functional collaboration.
• Drive projects from inception to launch, working with engineering, data science, and design.
• Plan and execute product launches, highlighting AI-driven features through marketing, sales enablement, and customer training.
• Customer Focus:
• Build strong relationships with customers and the learning industry to understand needs and pain points.
• Conduct user research and usability testing to inform decisions.
• Gather feedback and refine products to enhance customer value.
• Data-Driven Decision Making:
• Analyse product performance metrics and user data to drive improvements.
• Use data insights to track KPIs and inform product decisions.
• Backlog Grooming & Capacity Management:
• Maintain and refine the product backlog, ensuring clear prioritisation.
• Collaborate with development teams to break down user stories into actionable tasks.
• Assess squad capacity, monitor project progress, and manage delivery timelines.
• Provide business cases for resource adjustments to optimise delivery timelines and outcomes.
• Risk Management:
• Identify and mitigate risks related to backlog items, including technical challenges and dependencies.
• Communication and Collaboration:
• Clearly communicate the product roadmap and priorities to teams and stakeholders.
• Provide updates on backlog status and resolve dependencies.
• Foster a knowledge-sharing culture and maintain product documentation.
• Facilitate alignment through data-driven insights and collaborative decision-making.

Preferred Technology Experience:

• Experience with AI/ML technologies such as machine learning, natural language processing (NLP), computer vision, and deep learning.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and relevant AI/ML services.
• Experience with data analysis and visualization tools.
• Familiarity with agile development methodologies (e.g., Scrum, Kanban).
• Experience with product management tools (e.g., Jira, Userpilot preferred).

Ideal general skills:

• AI & Technical Expertise: Strong grasp of AI/ML concepts, algorithms, and frameworks, with hands-on experience in machine learning, NLP, and computer vision. Proficient in software development methodologies and AI technologies, collaborating closely with engineers and data scientists.
• Cross-Functional Collaboration & Communication: Work effectively with engineering, data science, design, marketing, and stakeholders to drive product development. Communicate complex technical concepts clearly to diverse audiences.
• Problem-Solving & Adaptability: Proactively tackle AI development challenges and stay updated on industry trends to refine strategies.
• Detail-Oriented & Experienced: Ensure accuracy in defining requirements and evaluating AI outputs, with a proven track record in managing AI-driven products throughout their lifecycle.

• Remote-first and flexible working 
• Home-working and Wellbeing allowance
• Learning & Development - peer and platform learning
• Comprehensive Health Insurance with Vitality
• Perkbox - enjoy a wide range of benefits, discounted shopping and services
• Annual leave: 25 days + day off on your birthday + all bank holidays
• Employee Assistance Programme
• Enhanced parental leave
• Cycle to Work scheme
• Company social events
• Employee recognition awards: employee of the month, long service awards, and our employee referral scheme