Senior Product Manager - AI

Teamwork.com builds an AI-powered platform that helps client-service organisations manage projects, resources, and profitability—helping teams plan, deliver, and improve margins. Our mission is to make teams who deliver client work become efficient, organised, profitable and happy! Our platform has revolutionised how companies keep their client projects on track, their resourcing in check and their profits on point. Combining powerful project management and easily streamlined operations—we’re the only platform built for managing client projects, profitably. Our relentless customer-focus has been rewarded with thousands of amazing customers all across the globe and millions of users who sign in every day. We pride ourselves on creating market leading software, working with outstanding people, and going above and beyond for our customers. Trusted by more than 20,000 teams across 170 countries, Teamwork.com is in acceleration mode as we set our sights to become the undisputed platform for teams who deliver client work.

We believe in hiring great people and look to ensure everyone has the best possible experience of work, everyday. We strive to be open and transparent, humble and customer focused. And we thrive on curiosity, getting results and working together relentlessly to deliver excellence. We are a company of action, full of triers and doers: we try things, we make mistakes, and we learn from them.

Our personality is unmistakable: we work hard, take joy in our wins and each other's successes and important life events. And we care and support each other when life throws lemons. More than anything we embrace a straightforward approach to getting things done. We are fanatical about our customers: and when talent meets passion, success happens.

This is a remote-friendly role, but you must be based in Ireland, Poland or the UK.

• You've shipped 0-to-1 AI products and agents. You have a proven track record of taking AI-powered features and agentic workflows from nothing to live, customer-facing products — and you can talk specifically about what you built, the decisions you made, and the impact it had.

• You're fluent in evaluation. You have built or operated a golden/eval set, you can measure things like hallucination rate, and you have a view on when to use LLM-as-judge, human raters or structured rubrics — and where each one breaks. You treat evaluation as a core part of the product, not an afterthought.

• AI is already how you work. You actively use AI tools in your daily work — for research, synthesis, writing and prototyping. This is not something you are planning to start; it is how you already operate.

• You build, not just brief. You have hands-on experience with AI prototyping and development tools (such as Claude, Figma Make, Lovable or similar) and can independently build working proof-of-concepts, going from idea to testable artefact in hours.

• You understand how AI systems work. You can hold a substantive conversation about LLMs, agentic workflows, prompt design, RAG and retrieval, orchestration and the trade-offs involved — without needing a translator between you and engineering.

• You design for trust and safety. For agentic features you think in terms of scoped permissions, human-in-the-loop confirmation for irreversible actions, spend and rate limits, a clear kill switch, and a defined fallback for the first time the model is confidently wrong in front of a customer.

• You partner deeply with applied AI/ML teams. You collaborate day-to-day with ML engineers, applied scientists, researchers and AI designers — assessing feasibility, weighing trade-offs, and turning advanced capabilities into simple, reliable product experiences.