Customer Solution Architect (EMEA)
SupabaseSalary not specified
Full Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
[Remote] Technical Account Manager (TAM), EMEA- Copenhagen, Denmark at TetraScience
Copenhagen, Denmark
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Scientific Data, AI Cloud, Pharmaceuticals, BiotechnologyIndustries
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
Is this Technical Account Manager role remote?
Yes, the position is remote.
What are the key responsibilities of the Technical Account Manager?
Responsibilities include providing strategic technical partnerships with customers, lifecycle engagement from presales to delivery, technical health and risk management, strategic planning across teams, sales enablement, and accelerating customer time to value.
What is the company culture like at TetraScience?
TetraScience emphasizes alignment with 'The Tetra Way' letter from the CEO, which outlines the company's values and ethos, and expects employees to embody its contents daily. Candidates must review it to assess fit.
What salary or compensation does this role offer?
This information is not specified in the job description.
What makes a strong candidate for this Technical Account Manager position?
Strong candidates will align with TetraScience's values in 'The Tetra Way' letter, have experience bridging business objectives and technical execution for scientific end-users in pharma and biotech, and can act as a trusted technical advisor.
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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