AI Product Manager – Life Sciences & eClinical Platforms
Naperville, ILFull-time
Behavioral Health Market Context
Apply Nowvia Indeed
Qualifications
- •5+ years in Product Management for SaaS, enterprise software, or data platforms
- •2+ years working on AI, ML, analytics, or automation products
- •AI & Technical Knowledge
- •Strong understanding of:
- •LLMs, embeddings, RAG, agents, and prompt engineering
- •APIs, microservices, and cloud architectures
- •Ability to work effectively with engineering without being a coder
- •Domain & Business Skills
- •Strong understanding of clinical operations, regulatory workflows, or pharmacovigilance
- •Ability to translate complex workflows into AI-driven products
- •Experience defining KPIs, ROI, and adoption metrics
- •Excellent stakeholder and executive communication
- •Experience with Salesforce platform, AWS Bedrock, or Google Vertex AI
- •Prior experience with CTMS, eTMF, Safety, or EDC platforms
- •Experience building AI Agents or workflow automation
- •AI products adopted by customers and embedded in daily workflows
- •Measurable productivity, quality, and compliance improvements
- •Faster sales cycles driven by differentiated AI capabilities
- •High customer satisfaction and product-led expansion
- •16 more items(s)
Responsibilities
- •Trusted by pharmaceutical companies, biotechs, medical device innovators, and CROs, Cloudbyz ensures real-time oversight, operational efficiency, and regulatory compliance throughout the trial lifecycle
- •The AI Product Manager will own the strategy, roadmap, and delivery of AI-powered products and AI Agents across Cloudbyz's unified eClinical platform
- •You will translate real clinical, regulatory, and operational problems into scalable AI solutions that drive productivity, compliance, and business outcomes
- •This role sits at the intersection of clinical operations, AI engineering, and SaaS product leadership and will directly influence how AI transforms clinical trials, safety, regulatory, and financial workflows
- •Define and own the AI product vision for AI Agents, automation, and intelligence across CTMS, EDC, eTMF, Safety, RTSM, and CTFM
- •Identify high-ROI AI use cases from customer workflows and regulatory requirements
- •Build and maintain the AI product roadmap aligned to business and customer priorities
- •Prioritize features based on impact, feasibility, compliance, and adoption
- •Work directly with clinical operations, QA, regulatory, and safety teams at customer organizations
- •Translate workflows (e.g., study startup, TMF QC, safety case processing, regulatory reporting) into AI-ready user stories
- •Define Human-in-the-Loop and compliance-first AI workflows
- •Validate value through pilots, proofs-of-concept, and early adopters
- •Partner with AI engineers, data scientists, and platform teams to design models, pipelines, and architectures
- •Define LLM, RAG, agent, and automation requirements
- •Own data requirements, labeling strategy, evaluation metrics, and model performance KPIs
- •Ensure AI features are scalable, explainable, and auditable
- •Compliance & Trust
- •Ensure AI products meet GxP, 21 CFR Part 11, ICH-GCP, and validation requirements
- •Design audit trails, explainability, confidence scoring, and override workflows
- •Define risk controls, bias monitoring, and safety guardrails
- •Partner with Sales, Marketing, and Customer Success on AI positioning, demos, and value messaging
- •Support RFPs, demos, and strategic deals with AI capabilities
- •Create product documentation, use-case libraries, and ROI narratives
- •ML pipelines, data labeling, and model evaluation
- •Work on AI Agents that automate high-value regulated workflows
- •22 more items(s)
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