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Argon AI

AI-native workspace for life sciences workflows

Founding Member - Life Sciences

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeNew York, NY, USAIn-person

About the Job

Requirements

  • At least 6 years of experience in commercial and portfolio strategy in biopharma.
  • Deep working knowledge of pharma internal governance processes for clinical and commercial decision-making, including first-hand experience observing how decisions are made.
  • Experience running complex, client-facing, multi-stakeholder engagements.
  • Comfort operating without established structure or a defined process.
  • Already use AI tools in their own work.

Responsibilities

  • Drive business development through industry event attendance and leading client conversations about tailored use cases for Argon’s platform.
  • Lead customer deployments through hands-on training and working sessions to help users get value from the platform quickly.
  • Shape product strategy and the roadmap by understanding customer workflows and gaps in the current product.
  • Onboard, train, and run working sessions with new and current accounts, owning whether users realize value within the first 60 days.
  • Act as the voice of the customer in the product roadmap, surfacing underserved workflows and gaps between the current product and job requirements.

Desired Qualifications

  • Direct biotech or big pharma experience is preferred over pure consulting.

About the Company

Argon AI

AI-native workspace for life sciences workflows

Argon AI builds an AI-native workspace tailored for life sciences, helping biopharma and biotech teams automate data-heavy workflows and extract insights from large datasets. The platform enables commercial and clinical teams to perform data-driven tasks via natural language queries, so they can query information about competitors, assets, clinical trials, and research, and automate steps in their processes. Unlike broader analytics tools, Argon AI focuses on the life sciences domain, integrating data analysis with workflow automation to support faster decision-making. The company’s goal is to help life sciences companies bring therapies and treatments to patients more quickly by improving data access, analysis, and cross-functional collaboration.

Company size
1-10
Company stage
Seed
Total funding
$5.6M
Headquarters
New York City, New York
Founded
2023

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