[Remote] Scientific Product Marketing Manager - Scientific AI Use Cases at TetraScience

United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Scientific Data, AI, Biotechnology, PharmaceuticalsIndustries

Skills

Key technologies and capabilities for this role

Product MarketingGo-to-market StrategyScientific DataAIDrug DiscoveryData ManagementData VisualizationBiopharmaMessagingContent StrategyStorytelling

Questions & Answers

Common questions about this position

Is this position remote?

Yes, the position is remote.

What skills are required for this role?

The role requires a high-clock speed thinker, doer, collaborator, and evangelist; deep understanding of the scientific lifecycle, biopharma needs, and AI deployment challenges; obsession with clarity and storytelling; ability to thrive at the intersection of product, marketing, sales, and science; and extensive experience focused on the digitalization of the life sciences laboratory.

What is the salary or compensation for this position?

This information is not specified in the job description.

What is the company culture like?

Candidates will review the Tetra Way letter by CEO Patrick Grady to assess cultural fit, emphasizing values like extreme ownership, passion for solving challenges through data and AI, and collaboration across teams.

What makes a strong candidate for this role?

A strong candidate has demonstrated history of delivering best-in-class products to market with high customer adoption, elite product marketing leadership, and embodies extreme ownership while thriving in fast-paced, collaborative environments at the intersection of science, product, and sales.

TetraScience

Cloud platform for scientific data management

About TetraScience

TetraScience offers a cloud-based platform called the Scientific Data Cloud, which helps biopharmaceutical companies manage and harmonize their scientific data for research and development, quality assurance, and manufacturing. The platform connects various lab instruments and software, streamlining data management and significantly reducing task completion time. TetraScience's vendor-neutral and open design allows it to work with any lab equipment, making it a flexible solution in the life sciences sector. The company's goal is to enhance scientific outcomes by preparing data for artificial intelligence and machine learning applications.

Boston, MassachusettsHeadquarters

2019Year Founded

$113.8MTotal Funding

SERIES_BCompany Stage

AI & Machine Learning, Biotechnology, HealthcareIndustries

51-200Employees

Benefits

Unlimited PTO

100% company paid health, dental, & vision

Company paid life insurance

401k savings

Company paid disability insurance

Equity program

Flexible work arrangements

Risks

Rapid AI development may outpace TetraScience's integration capabilities, risking obsolescence.

Dependency on partners like Google Cloud and NVIDIA could pose risks if disrupted.

International expansion may expose TetraScience to regulatory and compliance challenges.

Differentiation

TetraScience offers a vendor-neutral, open, cloud-native platform for scientific data management.

The platform integrates with any lab equipment or software, enhancing flexibility and adaptability.

TetraScience's Scientific Data Cloud centralizes and harmonizes data, preparing it for AI/ML applications.

Upsides

Partnerships with NVIDIA and Google Cloud enhance AI-native scientific datasets and capabilities.

Collaboration with Databricks accelerates the Scientific AI revolution in life sciences.

Bayer AG partnership maximizes scientific data value, driving innovation in biopharma.

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