AI Product Manager – Life Sciences & eClinical Platforms

Cloudbyz

Naperville, ILFull-time

Behavioral Health Market Context

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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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