AI Product Manager
TIAAGO
| Company | TIAAGO |
| Category | Data & Analytics |
| Location | United Kingdom |
| Remote | Remote |
| Employment | Full-time |
| Level | Manager |
| Salary | Not stated by the employer |
| Posted | 23 Jul 2026 |
| Last verified | 3 Aug 2026 |
| Source | Employer ATS (workable) |
Description
TIAAGO is seeking a dynamic and visionary AI Product Manager to join our innovative team and lead the development and execution of cutting-edge AI-driven products. In this role, you will play a pivotal part in shaping the future of our AI offerings by bridging the gap between advanced technology and user-centric solutions. You will collaborate closely with cross-functional teams including engineering, design, data science, and marketing to drive product strategy, define roadmaps, and ensure successful product delivery that meets market demands and exceeds customer expectations. The ideal candidate has a strong understanding of artificial intelligence technologies combined with robust product management experience, excellent communication skills, and a passion for innovation. As an AI Product Manager at TIAAGO, you will be responsible for identifying new opportunities, analyzing market trends, prioritizing features based on user feedback and business goals, and fostering a culture of continuous improvement. Join us to be at the forefront of AI innovation, helping to transform ideas into impactful products that create real value for our users and stakeholders worldwide. This is an exciting opportunity for a motivated professional wanting to make a significant impact in a fast-paced, forward-thinking company. Responsibilities Define and execute the AI product strategy and roadmap in alignment with company goals and market needs. Collaborate with engineering, design, and data science teams to develop and deliver AI-driven product features. Conduct market research and competitive analysis to identify new product opportunities and enhance existing offerings. Gather and prioritize product requirements from customers, stakeholders, and internal teams. Monitor product performance using data-driven metrics and make informed decisions to optimize user experience and business outcomes. Lead cross-functional teams through all phases of the product lifecycle, from conception to launch and iteration. Communicate effectively with stakeholders at all levels to ensure alignment and manage expectations.
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