Cloudbyz · 9 hours ago
AI Product Manager – Life Sciences & eClinical Platforms
Naperville, IL
Full-time
Onsite
Senior Level
5+ years expCloudbyz is a next-generation eClinical platform designed to modernize clinical trial operations for life sciences organizations. The AI Product Manager will own the strategy, roadmap, and delivery of AI-powered products across Cloudbyz’s unified eClinical platform, translating clinical and regulatory challenges into scalable AI solutions.
Clinical TrialsInformation TechnologyIT ManagementProject Management
Hiring Manager
Dinesh Kashyap
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
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
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
Qualification
Required
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
Strong understanding of LLMs, embeddings, RAG, agents, and prompt engineering
Strong understanding of ML pipelines, data labeling, and model evaluation
Strong understanding of APIs, microservices, and cloud architectures
Ability to work effectively with engineering without being a coder
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
Preferred
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
Company
Cloudbyz
Cloudbyz offers innovative business applications on cloud for small and large enterprises.
51-200 employees
H1B Sponsorship
Cloudbyz has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (1)
2023 (1)
Funding
Current Stage
Growth StageLeadership Team
Dinesh Sheshadri
CEO | Unified eClinical on Salesforce & AI
Recent News
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