Jobs

Interviews
Job Alerts
Tools

Upskill and Grow with AI

Mock Interview Practice interviews in realistic simulations

Coding Practice Improve your coding skills with challenges

Certification Earn certifications to validate your skills

AI Learning Get trained with AI expert sessions

Career Path AI insights for smarter career decisions

AI Job Match Score AI-Powered Job Match Against Your Resume and Optimize Your Resume

Career Tools and Resources

Resume Builder Build Professional Resume with Ease

ATS Friendliness Check Check Resume Friendliness for Applicant Tracking Systems

Auto Apply Apply to hundreds of jobs on any platform effortlessly

Co-Pilot (Chrome Extension) Your AI Assistant for Seamless Browsing Efficiency

Interview Questions Streamline interviews with ready-to-use questions

Salaries Discover market-driven salary insights across skillsets and geographies

Companies Explore leading companies actively hiring talent
For Employers

Jobs

Interviews

Home
>
Jobs in Chennai
>
Chryselys
>
Manager

Manager

Chryselys

6 - 8 years

2 - 6 Lacs

Chennai

Posted:11 hours ago| Platform: GlassDoor logo

Apply

Skills Required

technology research aws ml devops discovery data drive engineering summarization ai strategy segmentation positioning management openai github gitlab terraform docker normalization pipeline saas compliance

Work Mode

On-site

Job Type

Part Time

Job Description

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.

More Jobs at Chryselys

CONSULTANT - BI

Chennai

6 - 8 yrs

INR 8 - 12 Lacs

Senior Associate, Insights & Analytics

Hyderabad

1 - 3 yrs

INR 11 - 15 Lacs

Business Analyst - APLD

Hyderabad, Bangalore Rural, Chennai

2 - 7 yrs

INR 5 - 15 Lacs

Senior Data Engineering - Chennai

Chennai

3.0 - 8.0 yrs

INR 10 - 20 Lacs

Consultant - Data Engineering

Hyderabad, Telangana, India

7.0 - 9.0 yrs

Salary: Not disclosed

Mock Interview

Practice Video Interview with JobPe AI

Start DevOps Interview

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.

Job Application AI Bot

Apply to 20+ Portals in one click

Download Now

Download the Mobile App

Instantly access job listings, apply easily, and track applications.

Enhance Your Skills

Practice coding challenges to boost your skills

Start Practicing Now

Chryselys

Technology

Tech City

Login to

Please Verify Your Phone or Email

Confirm Action

Search

Profile

Upskill and Grow with AI

Manager