Technical Account Manager - USA
Altera Digital HealthSalary not specified
- Full Time
- Junior (1 to 2 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Scientific Data and AI CloudIndustries
Requirements
Candidates should possess a Bachelor’s degree in Computer Science, Engineering, or a related technical field, along with a minimum of 5 years of experience in a technical account management or customer success role, preferably within the scientific data or AI cloud space. Strong technical acumen, particularly in data architecture, cloud computing, and scientific workflows, is essential. Experience with pharmaceutical and biotech industries is highly desirable.
Responsibilities
As a Technical Account Manager, you will provide a strategic technical partnership with customers, acting as the primary technical leader for scientific end-users. This includes designing, architecting, and delivering impactful solutions, understanding customer needs, analyzing data environments, assisting in solution implementation, and ensuring long-term project success. Key responsibilities encompass serving as the primary technical point of contact, driving adoption and risk management, supporting sales and product teams, and delivering value through proactive technical guidance, strategic planning, and continuous optimization. You will also be responsible for solution mapping, ROI calculation, relationship building, product knowledge, demo development, and proposal writing.
Skills
Technical partnership
Solution design
Data analysis
Scientific data management
Customer engagement
Biotech and pharmaceutical industry 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