Senior Product Manager New Remote (USA)

Verantos; Northern (KY); Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

401K plan

Work-life balance

Healthcare technology visionaries

Job summary

Verantos invites a Senior Product Manager to own a product that turns complex clinical data into high‑quality, defensible evidence. You will set the vision, align with AI/ML teams, and prioritize features that scale across therapeutic areas.

You will work with annotators, SMEs, data engineers, and customer success to translate needs into repeatable, trusted outputs while practicing rapid prototyping with LLMs. Join a team advancing healthcare AI.

Qualifications

• Bachelor's degree in technical, scientific, or medical field.
• Significant product management experience, including senior ownership of AI-powered products.
• Hands-on use of LLMs and building tools to prototype and accelerate work.
• Working knowledge of NLP/ML concepts and model evaluation.
• Ability to translate business requirements into AI-powered capabilities.
• Experience with data-intensive, enterprise applications and multi-tenancy.
• Proficiency with agile development and JIRA; ability to break work into epics and stories.
• Excellent verbal and written communication skills.

Responsibilities

• Own the vision, strategy, and roadmap across the product area.
• Collaborate with annotators, SMEs, AI/data engineers, and customer success to translate needs into scalable outputs.
• Champion transparency, scalability, and AI-enabled decision making.
• Work in an AI-native, prototype-first way using LLMs and modern tools to test ideas.
• Define and measure success metrics and drive prioritization.
• Manage release processes and develop launch materials with marketing and sales.

Skills

AI-powered products

B2B product lifecycle

LLMs & tools

NLP/ML concepts

Strong communication

Education

Bachelor's degree

Tools

JIRA

OpenAI Codex

Claude/ChatGPT

Job description

Verantos (https://verantos.com/ ) is the global leader in high-validity real-world evidence (RWE) for life sciences. By incorporating robust clinical narrative data, artificial intelligence technology, and measured validity, Verantos is the first company to generate research-grade evidence at scale across therapeutic areas. Verantos integrates heterogeneous real-world data sources and generates evidence with the accuracy necessary for market access, HEOR, medical affairs, and regulatory use.

Our product strategy is built on three modular, connected pieces - the Curation Platform (raw data to structured, validated variables), Pragmatic Registry data sets (high validity, enriched datasets), and the Evidence Platform (standardized data to evidence). Each delivers standalone value; the combination is the differentiator, and each platform's usage accelerates the others. Some of the largest biopharma companies in the world are Verantos customers.

As Senior Product Manager, you will own the product that turns the richest, most difficult clinical data into trusted, structured evidence. You will support teams to build reference standards, train and validate AI models, and measure accuracy with full transparency aligned with FDA guidance. You will set the vision and roadmap as a hands-on, AI-native product manager.

Responsibilities

• Own the vision, strategy, and roadmap, sequencing delivery across your product area
• Partner with the users and cross-functional collaborators - annotators, annotation supervisors, clinical subject-matter experts, AI + data engineers, and customer success, to translate their needs into a coherent, scalable product that produces research-grade, defensible outputs
• Champion the unifying product principles across every feature: transparency at every step, knowledge that compounds over time, "AI does the work; experts decide," and design for scale through configurability rather than custom engineering
• Work in an AI-native, prototype-first way - using LLMs (e.g., Claude, ChatGPT, Gemini) and modern building tools (e.g., v0, Claude Cowork/Code, OpenAI Codex) to spec and pressure-test ideas yourself, then ship thin slices, measure accuracy and throughput with users, and improve in tight loops rather than long waterfall cycles
• Define and instrument success metrics - extraction accuracy (precision/recall/F1), inter-annotator agreement, throughput, and cost-per-dataset reduction - and use them to drive prioritization
• Manage the product release process and develop launch materials in collaboration with marketing and sales

Qualifications

Required

• Bachelor's degree in a technical, scientific, or medical field from a reputed institution
• Significant product management experience, including senior-level ownership of one or more AI-powered products or components, with full B2B product lifecycle experience and products currently in commercial use
• Demonstrated fluency working in an AI-native, prototype-first way: hands-on use of LLMs (e.g., Claude, ChatGPT, Gemini) and building tools (e.g., v0, Claude Cowork/Code, OpenAI Codex) to prototype, validate, and accelerate product work, with a bias toward iterating quickly over long up-front specification
• Working knowledge of natural language processing (NLP), machine learning (ML), and the concepts behind model training, evaluation, and accuracy measurement (precision, recall, F1, inter-annotator agreement)
• Ability to understand business requirements and translate them into AI-powered product capabilities
• Experience with data-intensive, enterprise-level applications, including multi-tenancy, enterprise authentication, and user management concerns
• Prior product management experience in an agile development environment, with strong familiarity with JIRA and the ability to break work into well-scoped epics and stories.
• Exceptional verbal and written communication skills

Preferred

• Advanced degree such as MBA, MS, PhD, or MD from a reputed institution
• Product management experience in healthcare technology companies
• Prior experience working with complex healthcare data, including electronic health records, clinical notes, claims, and disease registries
• Experience with clinical data annotation, chart abstraction, reference-standard creation, or human-in-the-loop AI workflows
• Familiarity with healthcare data standards and vocabularies (e.g., OMOP, FHIR, CDA) and de-identification practices
• Life sciences domain experience, specifically around observational research studies and disease-specific cohorts

Why Verantos?

At Verantos, we are pioneering technologies that power high-validity RWE. High-validity RWE helps understand how patient characteristics and behaviors affect health outcomes - helping to predict the progression of a disease, a patient's response to a therapy, or the risk of adverse events. You will work at the very front of that mission, building the AI infrastructure that makes the world's richest clinical data usable and trustworthy. Come and join a team at the intersection of cutting-edge technology, complex data, and healthcare research.

We offer

• 401K plan with employer match
• Work-life balance
• Opportunity to work with healthcare technology visionaries