Overview
We are looking for a
high-impact Product Manager
who thrives at the intersection of technology and pharma/life sciences
. This role demands a sharp strategic thinker with hands-on technical depth
, product ownership mindset
, and a solid grasp of pharma domain knowledge
from primary market research (PMR) insights
, competitive intelligence (CI)
, to brand strategy
. If you can translate brand/medical/commercial objectives into robust, scalable product solutions using
AWS-native architectures
, ML/GenAI models
, and modern DevOps practices
, you belong here. Key Responsibilities
Product Leadership
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.
Technical & Platform Strategy
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.
Data & AI Productization
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.
Market & Domain Expertise
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.
Required 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 (LangChain, OpenAI, HuggingFace, 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. Preferred Skills
Prior experience building SaaS or platform products in regulated industries.
Knowledge of data privacy, HIPAA, and compliance frameworks.