AI Product Manager – Life Sciences & eClinical Platforms

#### 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 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.

##### Key Responsibilities

##### AI Product Strategy & Roadmap

• 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

##### Customer & Domain-Driven AI

• 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 validation requirements
• Design audit trails, explainability, confidence scoring, and override workflows
• Define risk controls, bias monitoring, and safety guardrails

##### Go-to-Market Enablement

• 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

##### 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

+ 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 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—not experiments
• Work on AI Agents that automate high-value regulated workflows
• Influence the future of AI-driven clinical operations globally