[Remote] Senior Product Manager - Enterprise Platform Administration at TetraScience

United States

Apply Now

Not SpecifiedCompensation

N/AExperience Level

N/AJob Type

Not SpecifiedVisa

N/AIndustries

Requirements

Candidates should possess a Bachelor's degree in a relevant field, such as Computer Science, Engineering, or a related discipline, and have at least 7 years of experience in product management, preferably within the enterprise software or data management space. Strong analytical and problem-solving skills are essential, along with a deep understanding of data governance, security, and cloud infrastructure. Experience with biopharma or scientific data environments is highly desirable.

Responsibilities

The Senior Product Manager, Enterprise Platform Administration will be responsible for defining and releasing scalable and compliant data infrastructure to enable biopharma enterprises to efficiently manage and analyze their scientific data, including enhancing platform administration capabilities for seamless data access, governance, and operational insights. They will also collaborate with engineering, architecture, and customer teams to align the platform with customer needs in data and metadata governance, access control, auditability, and ML/AI Ops, driving initiatives to improve system reliability and identity management.

Skills

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.

Land your dream remote job 3x faster with AI

Try Jobo Free