The Opportunity
Our client is pioneering the future of clinical trials through intelligent automation and AI-first design. They are seeking a bold, visionary Product Manager, AI to lead transformative, cross-platform initiatives that reshape how clinical teams interact with data.
In this high-impact role, you’ll own the strategy and execution of AI-enabled capabilities across multiple product lines. You will identify high-value opportunities for applying AI, design smarter and more intuitive workflows, and collaborate with a world-class team to bring breakthrough solutions to life. This is a unique opportunity for a modern product leader—equal parts strategist, technologist, and builder—who thrives at the intersection of innovation, user experience, and real-world impact.
Key Responsibilities
* Lead AI Strategy Across the Platform
* Define and champion a cross-product AI strategy within our SaaS platform.
* Identify opportunities to leverage machine learning, NLP, and generative AI to transform data workflows, automation, and insights.
* Partner with data science and engineering leads to assess feasibility, define success criteria, and ensure responsible implementation.
* Stay ahead of emerging AI technologies and healthcare-specific innovations to inform long-term product vision.
* Drive Innovation from Idea to Execution
* Lead product discovery and experimentation to validate AI-driven use cases with users and stakeholders.
* Define multi-team roadmaps, epics, and release plans that align with business goals.
* Develop compelling product narratives and prototypes to articulate the future of clinical data management.
* Partner with UX to deliver intuitive, human-centric interfaces that maximize the usability and trustworthiness of AI features.
* Mentor, Influence & Inspire
* Coach and support Product Managers and Product Owners focused on AI capabilities to drive aligned, high-quality execution.
* Cultivate strong cross-functional relationships across engineering, data science, UX, and commercial teams to scale AI delivery.
* Serve as an internal and external thought leader—shaping the conversation on intelligent automation and responsible AI.
* Influence senior stakeholders and executive leadership on the strategic importance of AI in the platform's evolution.
* Deliver Measurable Value
* Define success metrics focused on user adoption, business outcomes, and real-world impact—not just model performance.
* Ensure compliance with ethical AI principles, transparency standards, and clinical trial regulations.
* Use continuous user feedback and analytics to refine and iterate on solutions post-launch.
* Establish frameworks for AI lifecycle management, including model monitoring, auditability, and human-in-the-loop systems.
Qualifications
Education & Experience
* Bachelor’s degree in a technical, business, or life sciences field required; Master’s in AI, Data Science, or Human-Computer Interaction is a plus.
* 7–10 years of product management experience in software, including ownership of AI-powered or data-centric solutions.
* Proven success integrating ML/AI into enterprise B2B software products, preferably in regulated or high-stakes industries.
* Demonstrated experience leading complex, cross-functional strategic initiatives.
Professional Skills
* Visionary, creative thinker with a strong bias for action and experimentation.
* Skilled at translating complex technology into clear, compelling product stories and future-state concepts.
* Adept at navigating ambiguity and making informed decisions in emerging technology spaces.
* Excellent communicator who earns trust across both technical and non-technical teams.
* Passionate about ethical innovation and inclusive design.
Technical & Domain Expertise
* Familiarity with applied ML, LLMs, MLOps, and AI integration in modern cloud environments.
* Experience in data-intensive domains—preferably healthcare, life sciences, or enterprise analytics.
* Understanding of clinical trial workflows, data standards (e.g., CDISC), and relevant regulatory frameworks is a significant advantage.
* Deep interest in building AI that supports decision-making and elevates the user experience—not just backend automation.
Seniority level
* Mid-Senior level
Employment type
* Full-time
Job function
* Information Technology
Industries
* Hospitals and Health Care
* Software Development
Note: This description preserves the core information while removing extraneous boilerplate and site-specific notices.
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