[Remote] Senior Product Marketing Manager at TetraScience

Boston, Massachusetts, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Scientific Data, AIIndustries

Requirements

Degree in Life Sciences required
5+ years of product marketing experience in life sciences, with familiarity spanning lab informatics, scientific applications, and AI/ML solutions
Proven track record in content creation across multiple formats and audiences
Highly conversant in direct content for customers to drive sales and expansion - slides, RFP responses etc
Strong understanding of the scientific data lifecycle, including data replatforming/engineering, analytics, and AI-enabled use cases

Responsibilities

Define and refine messaging and positioning for the Universal SDMS, analytics, and Scientific AI use cases
Create and execute a wide range of engaging multi-format content, including: White papers, blogs, solution briefs, and customer stories
SEO-optimized website copy and campaign assets
Webinars, video scripts, and demo content
Social media campaigns and digital ads
Track content performance and pipeline impact, ensuring assets are impactful and widely leveraged
Lead and execute product launches, ensuring unified go-to-market strategy, and supporting content
Partner with Sales, Product and Enablement to train the field and create tools such as pitch decks, ROI calculators, battlecards, and competitive intelligence
Translate complex technical and scientific capabilities into accessible narratives for scientists, IT, data leaders, and executives
Represent TetraScience at industry events, customer meetings, and strategic demo showcases

Skills

Product Marketing

Go-to-Market Strategy

Content Creation

Positioning

Narrative Development

White Papers

Blog Posts

ROI Calculators

Field Enablement

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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