[Remote] Head of Product Marketing, Next-Gen Lab Data Management Products at TetraScience

United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Scientific Data Management, AI Cloud, Biotechnology, PharmaceuticalsIndustries

Skills

Key technologies and capabilities for this role

Product MarketingProduct ManagementPackagingPricingPromotionPartnering StrategiesScientific Data ManagementAI CloudGo-to-market Strategy

Questions & Answers

Common questions about this position

Is this role remote?

Yes, the role is remote.

What salary or compensation does this role offer?

This information is not specified in the job description.

What key skills and attributes are required for this position?

The role requires product marketing expertise focused on disrupting life sciences lab informatics, cross-functional collaboration skills with a 'point guard archetype' style, deep market understanding in lab data management, a visionary and disruptive mindset against data silos, and extreme self-discipline.

What is the company culture like at TetraScience?

Candidates must review and embody the 'Tetra Way' letter by the CEO daily, aligning with company values and ethos.

What makes a strong candidate for this Head of Product Marketing role?

A strong candidate is a high-clock-speed, results-driven leader with extreme ownership, a proven track record of delivering best-in-class products with high customer adoption, and passion for transforming scientific data into AI-native data.

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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