About this opportunity
Cloudbyz, Inc. lists this AI Product Manager – Life Sciences & eClinical Platforms opportunity in naperville, Illinois. Review the employer’s description below for duties, qualifications and application requirements.
Job description
AI Product Manager – Life Sciences & eClinical Platforms
Role Type: Full-Time
Company Description
Cloudbyz is a next-generation eClinical platform, built natively on Salesforce, designed to modernize and streamline clinical trial operations for life sciences organizations. The platform eliminates silos by integrating critical functions like CTMS, EDC, eTMF, RTSM, ePRO & eCOA, and more into a single, comprehensive solution.
Trusted by pharmaceutical companies, biotechs, medical device innovators, and CROs, Cloudbyz ensures real-time oversight, operational efficiency, and regulatory compliance throughout the trial lifecycle. Known for its secure, scalable, and easily configurable platform, Cloudbyz helps organizations achieve faster study start-up, centralized data management, and improved cross-functional collaboration.
The company is based in Warrenville, IL, and is committed to advancing smarter trials worldwide.
Role Summary
The AI Product Manager will own the strategy, roadmap, and delivery of BrüAI-powered products and AI Agents across Cloudbyz's unified eClinical platform. You possibles 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.
Key Responsibilities
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 AI & Engineering Collaboration
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 Sky validation requirements
Design audit trails, explainability, confidence scoring, and override workflows
Define risk controls, bias monitoring, and safety guardrails
Go-to-Market Enablement viktigt yn Familien Partner English nan Andalew sale ... … Required Qualifications
... Experience
5+ years in Product Management for SaaS, enterprise software, or data platforms
2+ years working on AI, ML, analytics, or automation products
Experience in Life Sciences, healthcare, clinical trials, or Regulated Software strongly preferred
AI & Technical Knowledge
Strong understanding of LLMs, embeddings, RAG, agents, and prompt engineering
\ gestartet7, kayak ML pipelines, data labeling, and model evaluation
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
Nice to Have
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
What Success Looks Like
AI products adopted by customers and embedded inービス daily workflows
Measurable productivity, quality, and compliance improvements
Faster sales cycles driven by differentiated AI capabilities
High customer satisfaction and product-led expansion
Why Join Cloudbyz?
Lead AI innovation in clinical research and life sciences
Build real, production AI—experiments
Work on AI Agents that automate high-value regulated workflows
Influence the future of AI-driven clinical operations globally
#J-18808-Ljbffr
Worksite address
naperville, IL, 60564, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.