Head of Product Marketing, Next-Gen Lab Data Management Products

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

Requirements

Candidates should possess a Bachelor's degree in Marketing, Business, or a related field, along with at least 10 years of product marketing experience, specifically within the data or scientific technology industries. Demonstrated experience in defining and launching complex products, coupled with a deep understanding of pricing, promotion, and partner strategies, is essential. Strong cross-functional collaboration skills and a results-oriented approach are also required.

Responsibilities

The Head of Product Marketing will be responsible for defining the product strategy and roadmap for TetraScience's next-generation lab data management products, overseeing packaging, pricing, promotion, and partner development. They will lead the development of go-to-market plans, collaborate with product management, and drive customer adoption, ensuring the suite aligns with TetraScience’s market leadership and category-creating vision. Additionally, the role involves evangelizing the company’s scientific data and AI cloud solutions and fostering cross-enterprise collaboration.

Skills

Product Marketing

Product Management

Packaging

Pricing

Promotion

Partnering Strategies

Scientific Data Management

AI Cloud

Go-to-market Strategy

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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