AI First Product Owner

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.We’re looking for an AI-First Product Owner to join our Product & Technology team and contribute to our mission of transforming clinical research through smarter, AI-powered product delivery.

The AI-First Product Owner ensures that squads have clear specifications, product priorities, product clarifications, and validation expectations needed to build the right product increments. The role is responsible for working out how agreed Product Management requirements should behave in the product, while keeping Product Management consulted and aligned on important scope, product, and trade-off decisions.

The role requires practical AI use from day one to improve specification drafting, prototyping, edge-case exploration, clarification, analysis, and review of product artefacts. It also requires an understanding of Agentic AI fundamentals, as CluePoints is developing AI-enabled product capabilities, not only using AI as an internal productivity tool.

Job Requirements

The AI-first Product Owner ensures that squads have clear specifications, product priorities, product clarifications, and validation expectations needed to build the right product increments. The role is responsible for working out how agreed Product Management requirements should behave in the product, while keeping Product Management consulted and aligned on important scope, product, and trade-off decisions.

The role requires practical AI use from day one to improve specification drafting, prototyping, edge-case exploration, clarification, analysis, and review of product artefacts. It also requires an understanding of Agentic AI fundamentals, as CluePoints is developing AI-enabled product capabilities, not only using AI as an internal productivity tool.

Product definition and specification

• Work from Product Management requirements, product intent, customer needs, business priorities, and roadmap direction to define how the agreed product problem should be addressed.
• Produce and maintain clear specifications and supporting product documentation that define expected behavior, workflows, business rules, edge cases, constraints, UX/product expectations, and validation intent for Engineering, QA, and UX/Product Design.
• Clarify assumptions, dependencies, open questions, and what is intentionally out of scope before implementation starts.
• Use AI actively to explore workflows, edge cases, UI/UX options, prototype directions, specification alternatives, and validation scenarios, while critically challenging AI-generated outputs.
• Ensure specifications reflect regulatory, platform, technical, customer, domain, and AI-product constraints.
• Make pragmatic squad-level specification and scope recommendations in conjunction with Product Management, and take decisions within the agreed product direction while escalating unresolved product questions when needed.
• Share relevant delivery feedback, validation findings, and product observations with Product Management to support follow-up decisions.

Backlog and squad coordination

• Own product prioritization of squad backlog topics within the agreed product direction, including features, bugs, spikes, improvements, and product prioritization input on technical initiatives.
• Ensure the squad has clear specifications, priorities, and product clarifications needed for delivery.
• Support the Tech Lead and squad when breakdown into epics, user stories, tasks, or acceptance criteria reveals gaps, ambiguity, edge cases, or product trade-offs.
• Coordinate bug triage and Support interactions, balancing product issues with feature work, stakeholder priorities, and delivery capacity.
• Facilitate internal squad alignment, contribute to agile ceremonies where relevant, and support sprint or release readiness, workload visibility, risk identification, and impediment management.

Delivery, quality, and feedback