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Product Manager | GraphPad Prism

Dotmatics

full-remotemidpermanentproduct-management Anywhere in the World 2 days ago via WWR

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Tags

Product ManagementGraphPad PrismSaaSUser StoriesUser-Centered DesignPrototypingUX CollaborationCustomer FeedbackUsage AnalyticsProduct Discovery

About the role

Role Overview

Dotmatics is seeking a Product Manager to lead feature discovery, definition, delivery, product quality, and continuous improvement for GraphPad Prism—a leading scientific graphing and data analysis application used by life science researchers.

Responsibilities

  • Identify and prioritize user-facing pain points using customer feedback, usage data, and market signals
  • Own moderately complex features end-to-end, from problem definition and scoping through delivery and release
  • Partner with Engineering, QA, UX, and Go-To-Market teams to clarify requirements, align timelines, and drive execution
  • Test and refine ideas via prototypes, usability feedback, and lightweight experiments for iterative improvement
  • Write clear product requirements and user stories balancing user needs, business goals, and technical constraints
  • Collaborate with Application Scientists and customer-facing teams to understand real workflows and pain points
  • Support UX/UI by reviewing wireframes and design concepts to ensure consistency with product standards
  • Contribute feature-area insights to broader product strategy and roadmap discussions

Requirements

  • 3+ years of SaaS Product Management experience
  • Hands-on familiarity with GraphPad Prism
  • Corporate research lab experience is strongly preferred

Nice-to-haves

  • Experience working closely with both desktop and cloud engineering teams
  • Strong ability to translate scientific workflows into actionable product requirements

About Dotmatics

Dotmatics builds a cloud-based digital science platform that connects scientific software applications with an enterprise data ecosystem. Used by millions of scientists across a global customer base, the company focuses on accelerating scientific innovation through integrated data, decision-making, and R&D workflows.

Scraped 4/4/2026

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