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
Requirements
Candidates must possess a deep understanding of scientific data and AI architecture and goals, with the ability to provide proactive, prescriptive technical guidance. They should be able to cultivate strong relationships with clients, sales teams, and technical teams, and possess strong negotiation skills. A deep understanding of the company's product or service offerings is essential, along with the ability to design and showcase tailored demonstrations to prospects.
Responsibilities
The Technical Account Manager will serve as the primary technical point of contact for strategic accounts, managing the entire lifecycle engagement and adoption acceleration from presales to delivery. They will be responsible for technical health and risk management, strategic planning, and stakeholder management across sales, product management, and engineering teams, while also providing sales enablement and growth support. This role involves building deep and wide technical and science senior relationships, understanding customer scientific data and AI architecture, driving adoption and success plan execution, conducting regular technical reviews, identifying risks, and recommending optimizations. The TAM will also lead technical strategy for expansions, support POCs and co-innovation, manage the resolution of escalated issues, and showcase tailored demonstrations to prospects.
Skills
Technical Partnership
Solution Design
Architecture
Data Analysis
Customer Enablement
ROI Optimization
Risk Reduction
Product Adoption
Scientific Data
AI Cloud
Pharmaceutical Industry
Biotechnology Industry
R&D IT
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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