TetraScience

Technical Account Manager (TAM), US

Boston, Massachusetts, United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Scientific Data & AI CloudIndustries

Requirements

Candidates should possess a Bachelor’s degree in a relevant technical field, such as Computer Science, Information Technology, or a related discipline, and have at least 5 years of experience in a technical account management or customer success role. Strong technical acumen, particularly in data science, cloud computing, and scientific data platforms, is essential. Experience working with pharmaceutical or biotech customers is highly preferred.

Responsibilities

As a Technical Account Manager, you will provide a strategic technical partnership with customers, bridging the gap between business objectives and technical execution. You will be the primary technical leader for scientific end-users, designing, architecting, and delivering impactful solutions. This includes understanding customer needs, analyzing data environments, assisting in solution design and implementation, enabling customer success, and ensuring long-term project outcomes. Key responsibilities encompass serving as the primary technical point of contact, driving adoption and risk management, supporting sales and product teams, and accelerating time to value for customers. You will also be responsible for strategic planning, stakeholder management, sales enablement, and providing proactive technical guidance.

Skills

Technical partnership
Solution design
Data analysis
Scientific data management
Customer engagement
Biotech and pharmaceutical domain knowledge

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.

Key Metrics

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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