Product Manager

Product Manager – Pharma & GenAI Platforms at Chryselys

About Us

Who We Are

Role Overview

Key Responsibilities

• Own the end-to-end product lifecycle from discovery to launch across pharma/life sciences use cases.
• Translate unmet market and brand needs into differentiated, scalable, and user-centric product solutions.
• Prioritize features across platform modules by aligning commercial, medical, and data science needs.
• Partner with commercial, brand, and medical teams to translate PMR and CI into actionable product features.
  

• Drive architectural discussions and product decisions around AWS cloud infrastructure, including Glue, Athena, Data Lake, S3, Lambda, and Step Functions.
• Collaborate with engineering to ensure CI/CD pipelines, Docker, Kubernetes, and ML Ops practices are integrated for faster product iterations.
• Enable delivery of GenAI capabilities in the platform — from document intelligence, medical NLP, summarization to insight generation.
  

• Lead data strategy for ingesting, cleaning, and transforming EMR, Claims, HCP/HCO, and RWD data using PySpark, SQL, and data pipelines.
• Build roadmap around ML/GenAI-driven use cases: e.g., treatment pathway prediction, KOL segmentation, site recommendation, competitive tracking.
• Collaborate with data scientists to deploy models in production using APIs and cloud-native services.
  

• Leverage deep knowledge of pharma workflows (Medical Affairs, Market Access, Clinical Dev, Commercial Ops).
• Map out patient journeys, treatment landscapes, and brand objectives into platform features.
• Convert PMR data and CI signals into competitive positioning and product differentiation.
  

What You Bring

• Prior experience building SaaS or platform products in regulated industries.
• Knowledge of data privacy, HIPAA, and compliance frameworks.
  

Preferred Qualifications

• 6–8 years of experience in product management or technical product ownership.
• Strong experience in pharma or life sciences industry — ideally in commercial, medical, or clinical tech products.
• Proven hands-on experience with AWS cloud architecture, especially Glue, Athena, Data Lake, Step Functions.
• Proficient in Python, SQL, PySpark, and working knowledge of ML modeling & GenAI frameworks (Lang Chain, OpenAI, Hugging Face, etc.).
• Strong grasp of DevOps pipelines (CI/CD, GitHub Actions/GitLab, Terraform, Docker, K8s).
• Strong understanding of data engineering concepts — ingestion, normalization, feature engineering, and ML pipeline orchestration.
• Familiarity with primary market research methodologies, CI tools, and brand strategy in pharma.
  

How To Apply

Equal Employment Opportunity