You will work across Keyloop’s financial application suite — defining priorities, grooming the backlog rigorously alongside Product Owners, shaping roadmap direction, engaging directly with Keyloop colleagues across multiple functions, and influencing programme-level decisions.
This role requires an AI-first mindset from day one. You will be expected to use AI as your default tool for how you work — from research, analysis, and stakeholder communication to backlog refinement, specification writing, and decision support.
Use LLM-based assistants, copilots, and automated analysis tools daily — for competitive research, requirements synthesis, data analysis, stakeholder communication drafting, and backlog refinement.
Challenge the status quo on every finance workflow you encounter. Ask “why is this still manual?” and “what would this look like if we built it AI-first?”
Stay deeply current with AI developments in enterprise SaaS and financial technology. Bring informed, opinionated perspectives to the team on where AI creates genuine advantage and where it introduces risk.
Champion responsible AI adoption across the product organisation, ensuring AI-driven features meet GDPR, accuracy, and transparency standards.
Influence the broader product team to think differently about how AI changes the economics and experience of product delivery itself — from AI-assisted grooming and specification writing to automated testing, release analysis, and customer feedback synthesis.
Requirements
4–7 years of product management experience in B2B SaaS, enterprise software, or platform-based technology environments.
Proven ability to own a product area end-to-end — from discovery and prioritisation through delivery and post-launch iteration.
Strong experience working with Agile/SAFe delivery frameworks, including backlog management, PI planning, and close collaboration with Product Owners and engineering teams.
Demonstrated ability to engage enterprise customers and translate complex operational requirements into clear product specifications.
Strong stakeholder management skills — comfortable presenting to and influencing senior leadership, commercial teams, and external partners.
Practical experience using AI tools in product management workflows — such as LLM-based assistants for research, analysis, communication drafting, or backlog refinement. We expect candidates to demonstrate how AI enhances their productivity and decision-making today, not just awareness of AI concepts.
Understanding of API-driven architectures, platform ecosystems, and integration patterns — you don’t need to write code, but you need to understand how systems connect and where integration complexity lives.
Excellent written and verbal communication in English. Additional languages relevant to EMEA or GCC markets are an advantage.
Comfortable working remotely in a distributed, cross-cultural team environment spanning multiple time zones across EMEA, GCC, and Asia-Pacific.
Benefits
We believe people should be paid based on their performance so our pay and benefits reflect this and are designed to attract the very best talent.
We encourage everyone in our organisation to explore opportunities which enable them to grow their career through investment in their development but equally by working in a culture which fosters support and unbridled collaboration.
We’re committed to fostering an inclusive work environment. One that respects all dimensions of diversity. We promote an inclusive culture within our business, and we celebrate different employees and lifestyles – not just on key days, but every day.