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Product FDE @ lunartree.bio
About LunarTree
AI-native intelligence platform for pharmaceutical and biotech companies. Our flagship product, Biolens, helps BD, Strategy, and R&D teams make better decisions faster - eliminating hundreds of hours of manual research.
Backed by operators from Pfizer, Amgen, Merck, BCG, A91 Partners.
Our team includes former founders, investors, consultants, athletes, and engineers from IIT Bombay, Goldman Sachs, Plum, Merkle, SuperDM.
We're on a mission to eliminate busywork in bringing novel treatments to the world.
And now we're building the product operations backbone that makes our clients incredibly successful.
The Role
You're the bridge between our engineering and our customers - owning both the technical reliability they depend on AND the operational systems that drive their business forward.
You'll translate messy client needs into structured deliverables while ensuring our intelligence platform works flawlessly when pharma companies are making million-dollar decisions.
Your #1 metric: Clients trust our AI completely and use it weekly to make business decisions - zero complaints about accuracy, zero surprises, zero broken workflows.
This isn't traditional product management or pure customer success. You're the production operator who ensures reliability AND drives adoption. You make the product work, and you make customers successful.
Our Philosophy
Data Quality is Non-Negotiable Wrong data = client churn. One bad assessment destroys months of trust. You're obsessed with accuracy.
Predictability Beats Features Clients need the system to work Monday morning more than they need new capabilities. If you say Monday, it happens Monday.
Usage is Everything Happy clients who don't use the product will churn. Your job is both reliable delivery AND actual adoption.
Fix Root Causes, Not Symptoms When something breaks, you figure out why it happened and make sure it never happens again.
Automate Ruthlessly If you're doing something manually twice, you automate it the third time. Eliminate your own toil.
What You'll Do
Own Product Quality & Client Operations
Run weekly intelligence workflows for customers
Oversee QC processes - catch errors before clients see them
Drive platform adoption (customers paying but not using enough)
Monitor production health, flag and fix issues within 24 hours
Build AI validation systems that scale from 10→100 clients
Build Operational Systems
Translate customer workflows into structured, scalable deliverables
Build operational automation (low code prototypes, internal tools)
Define agent logic for client assessments
Create processes and playbooks that eliminate manual toil
Turn "this feels off" feedback into actual technical improvements
Product Strategy & Reliability
Plan product demos, handle technical client issues, support deployments
Surface wins, quantify value, identify expansion opportunities
Work with BD leaders, R&D heads at leading life sciences companies
Prepare technical foundation for scale (5→50 clients)
Who We Need
Must have:
2-4 years in life sciences (consulting, pharma, biotech) OR technical product operations / customer-facing B2B roles
Operations mindset - think about reliability, monitoring, failure modes, data quality
Strong analytical skills and obsessive attention to detail
Structured and organized - build systems, document processes, create runbooks
Relationship builder - comfortable talking to executives and technical teams
Ownership mentality - see what's broken, fix it without being asked
Good judgment on escalation - know when to handle vs pull in engineering
Nice to have:
Comfortable with Python, databases, APIs, data pipelines
Can debug systems and build low-code automation
Experience with production systems or B2B SaaS where teams depend on data accuracy
Familiar with pharma/biotech domain (clinical trials, pipelines, deal-making)
Not a fit if:
You want strict 9-5 hours with fixed processes
You prefer reactive support over proactive operations
You avoid technical topics or manual QC work
You're uncomfortable with ambiguity or rapid change
Location
Hybrid (Bangalore)
Compensation
Industry grade pay + routine performance based hikes + pre-seed round ESOPs.
Additional learning and education perks for interns and early-career hires.
Hiring Process
Apply below - we reply within 72 hours.
One practical exercise (client scenario + structured thinking).
In-person/virtual interviews with the founders.