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Job Description & How to Apply Below
About Doceree: Doceree is the only Healthcare OS in the pharma ecosystem. As the first global network of physician-only platforms for programmatic messaging, Doceree is transforming the digital communication landscape in the global healthcare industry. Doceree provides the most comprehensive solution to Healthcare and Life Sciences advertisers to reach their target audience in the most effective and efficient way through programmatic digital advertising.
With 2,000+ integrated specialist medical publishers and 6M+ verified healthcare professionals across 45+ specialties, Doceree has built the world's largest network of specialist medical platforms-and is now expanding into AI-powered products that help publishers engage doctors, protect their content, and unlock entirely new revenue streams.
Our Core Belief: Technology can connect the fragmented healthcare ecosystem to deliver information when it is most needed to improve patients' outcomes.
We are expanding our footprints across the globe and enhancing our services, offering, and developing new products and solutions to address the unmet needs of industry. Doceree is operating in 22 countries currently with offices in NY, India, and London.
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Position Title:
Principal Product Manager — Publisher AI Suite
Department: Product & Engineering
Job Scope: India
Location:
Noida
Work Setting: In office
Purpose of the Job: We are seeking a strategic, technically strong, and execution-oriented Principal Product Manager to own and drive the Publisher AI Suite — a new product line that brings three interconnected products to healthcare publishers worldwide:
SiteLLM — A site-specific AI assistant powered by each publisher's own medical content. Deployed as a modular chatbot widget or a standalone ChatGPT-like experience, it drives reader engagement while creating new ad inventory for publishers.
Content Marketplace — A platform enabling medical publishers to license their editorial content (articles, abstracts, CME modules, datasets) to pharma companies and AI/LLM training data buyers, with structured licensing tiers and automated usage tracking.
This role is pivotal. You will define the vision, shape the strategy, and drive execution across all three products — working with a lean, high-velocity engineering team using AI-assisted development tooling. You will be the connective tissue between engineering, design, sales, compliance, and publisher partners.
Key Responsibilities
Product Strategy & Vision
Own the product vision and roadmap for the Publisher AI Suite across all products (SiteLLM, Content Marketplace), ensuring alignment with Doceree's broader platform strategy and revenue goals.
Deeply understand the competitive landscape and articulate how we win against each.
Define the sequencing and prioritization of features across the three-product portfolio, managing the tension between shipping fast and building durable infrastructure.
Develop the go-to-market narrative for multiple audiences: publishers (adoption), doctors (engagement), pharma companies (ad spend), and AI companies (data licensing).
Product Development & Execution
Lead the end-to-end product lifecycle from ideation through launch and iteration for all three products, running in parallel with a team of engineers.
Write clear, actionable PRDs with well-defined scope, user stories, acceptance criteria, and dependency maps. Break large initiatives into weekly shippable increments.
Work closely with engineering to make sharp build-vs-buy decisions — especially around LLM infrastructure (model selection, RAG pipeline architecture, vector stores), and content ingestion pipelines.
Own the modular SDK architecture from a product perspective
Drive internal quality gates: define test query sets for SiteLLM accuracy, set hallucination rate thresholds, review RAG citation quality, and ensure production readiness before each publisher deployment.
Publisher & Doctor Experience
Design the publisher adoption funnel
Define the doctor experience across the anonymous-to-authenticated spectrum — ensuring anonymous SiteLLM usage is valuable enough to retain
C…
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