Job Description

Location Type: Remote

Position Overview

TetraScience is the Scientific Data and AI Cloud company, dedicated to catalyzing the Scientific AI revolution. We design and industrialize AI-native scientific data sets, delivering them through a suite of data management and automation products and AI-enabled Scientific Use Cases. As the category leader in this emerging market, we partner with leading compute, cloud, data, and AI infrastructure providers.

Note: Candidates will be asked to review the Tetra Way letter, authored by our CEO, Patrick Grady, to assess cultural fit.

Who You Are

We are seeking an elite product marketing leader to define and execute our go-to-market strategy for Scientific Analytics and AI use cases. These applications accelerate drug discovery, development, manufacturing, and QC by integrating curated scientific data with cutting-edge AI models and data visualizations.

This role requires:

• A high-clock speed thinker, doer, collaborator, and evangelist.
• Passion for solving humanity’s greatest challenges through data and AI.
• Deep understanding of the scientific lifecycle, biopharma needs, and AI deployment challenges.
• Obsession with clarity and storytelling, translating technical innovation into customer value.
• Ability to thrive at the intersection of product, marketing, sales, and science.
• Skill in orchestrating messaging, content, and strategy to make Scientific AI indispensable for the pharmaceutical industry.
• Fundamental embodiment of extreme ownership.
• Demonstrated history of delivering best-in-class products to market and ensuring high customer adoption.

Responsibilities

In this role, you will own the product marketing strategy and execution for a rapidly expanding portfolio of Scientific Analytics and AI use cases, built on the Tetra Scientific Data and AI Cloud and in collaboration with leading biopharma companies. These use cases span the pharmaceutical value chain.

You should have:

• Extensive experience focused on the digitalization of the life sciences laboratory.
• A drive to overcome the status quo, including data silos, point-to-point integrations, lack of visionary data strategy, and IT "projects" versus productized data stacks.
• An understanding that replatforming and reengineering scientific data is crucial to unlocking advanced scientific and operational outcomes via Scientific AI.

You will:

• Shape and scale how we present these solutions to the world through compelling messaging, differentiated positioning, effective packaging, pricing strategies, and go-to-market enablement.
• Collaborate deeply with product management, demand generation, solutions, field sales, and scientific SMEs (business analysts, data architects, and applied AI engineers) to drive awareness, education, and pipeline for our Scientific AI solutions.

Key Responsibilities:

• Define and continuously refine messaging and positioning for Scientific Analytics and AI use cases, ensuring clarity and differentiation across applications and personas.
• Develop packaging, pricing, and tiering strategies to scale adoption across the world's leading biopharmaceutical companies.
• Build technical and visionary marketing content, including:
  • Solution briefs
  • Blog posts
  • Web copy
  • Webinars
  • White papers
  • Video scripts
  • Presentations
  • Customer stories
• Partner with sales and field enablement to deliver high-impact tools, pitch decks, ROI calculators, battlecards, and competitive intelligence.