At CluePoints, we’re redefining how clinical trials are run. As the premier provider of Risk-Based Quality Management (RBQM) and Data Quality Oversight software, we harness advanced statistics, artificial intelligence, and machine learning to ensure the quality, accuracy, and integrity of clinical trial data, helping life sciences organizations bring safer, more effective treatments to patients faster.We’re proud to be an ambitious, fast-growing technology scale-up with a dynamic and diverse international team representing more than 20 nationalities.

Collaboration, flexibility, and continuous learning are part of our DNA.

At CluePoints, you’ll find a culture where you can grow, make an impact, and have fun along the way.Guided by our values of Care, Passion, and Smart Disruption, we’re united by a shared mission: to create smarter ways to run efficient clinical trials and deliver AI-powered insights that improve human outcomes worldwide.

The Role

We’re looking for a AI Product Manager to join our Product team and contribute to our mission of transforming clinical research through data-driven insights.

The Product Manager – AI Delivery & Discovery owns day-to-day product execution for a product area or squad within an industry domain. The role blends problem discovery, backlog ownership, and delivery accountability, operating under the guidance of a Group Product Manager who owns domain strategy and long-term vision.

The role operates under CluePoints’ AI lifecycle development framework, where systematic use of AI tools is fundamental to speed-to-market, quality, and learning. The Product Manager contributes to the design and delivery of AI-powered and agentic capabilities, ensuring trust, observability, and regulatory alignment.

Why This Role at CluePoints

• Hands-on ownership of trusted AI products
• Growth under experienced Group Product Managers
• AI as a core delivery accelerator, not an add-on
• Real ownership, real customers, real outcomes

• 3–6 years in Product Management, Product Ownership, or similar roles
• 3-5 years' experience within Clinical Trials software (RBQM knowledge will be a plus)
• Strong backlog ownership in Agile/Scrum environments
• Ability to translate problems into clear, buildable requirements

AI & Data Mindset

• Experience with AI-enabled or data-driven products
• Understanding of AI lifecycle concepts
• Ability to define trust, explainability, and observability needs
• Hands-on use of AI tools to improve speed and quality

Ways of Working

• Outcome-focused and delivery-oriented
• Strong communicator with customers and technical teams
• Comfortable owning execution under Group PM guidance
• Curious, pragmatic, and improvement-driven

Nice to Have

• Experience in technology scale-ups.
• Familiarity with GCP, RBQM, or data analytics tools.
• Additional language skills.

Product Discovery & Problem Definition

• Lead problem discovery aligned with domain strategy
• Conduct customer interviews and analyze insights
• Define problem statements, user needs, and success criteria
• Document and/or approve AI generated use cases, workflows, domain rules, and constraints
• Validate discovery outcomes with customers and stakeholders

Backlog Ownership & Prioritization

• Own and maintain a prioritized, outcome-driven backlog
• Break down features into user requirements with value metrics
• Ensure backlog items meet Definition of Ready (DoR)
• Prioritize using OKRs, value vs effort, or MoSCoW frameworks
• Align priorities with Engineering and Architecture

Delivery & Execution

• Validate delivered features against acceptance criteria
• Manage scope trade-offs across features, defects, and improvements
• Maintain Jira delivery plans aligned with capacity

AI-Powered & Agentic Product Development

• Contribute to AI-enabled and agentic product capabilities
• Work across the full AI lifecycle: discovery, validation, release, monitoring
• Define AI guardrails including human-in-the-loop, explainability, and risk controls
• Define observability requirements for AI usage, performance, and outcomes
• Actively use AI tools to accelerate discovery, analysis, and documentation

Customer Interaction & Feedback

• Act as product contact for customer questions and escalations
• Own product-level defect triage and prioritization
• Validate corrective actions and customer readiness
• Manage feedback intake and feed learnings into the backlog

Release, Adoption & Continuous Improvement

• Contribute to release planning and minor/patch releases
• Support go/no-go readiness reviews
• Collaborate on release notes and customer communications
• Track usage, adoption, and onboarding signals
• Participate in post-incident reviews to improve resilience