[Remote] Technical Account Manager (TAM) - New York at TetraScience

New York, New York, United States

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Not SpecifiedCompensation

N/AExperience Level

N/AJob Type

Not SpecifiedVisa

N/AIndustries

Requirements

Deep and wide technical and science senior relationships
Deeply understand Customer scientific data and AI architecture & goals
Commercial Acumen & Sales Enablement
Product Knowledge
Demo Development
Proposal Writing
Negotiation Skills
Solution Mapping
ROI Calculation

Responsibilities

Providing a strategic technical partnership with Customers
Bridging the gap between business objectives and technical execution
Being the primary technical leader for scientific end-users
Understanding scientists' and R&D IT analysts' needs
Assisting in the design and implementation of solutions
Enabling customers to achieve faster ROI, reduced risk, smoother scaling, accelerated product adoption
Ensuring the long-term success of projects
Being the primary technical point of contact across strategic accounts
Lifecycle engagement & adoption acceleration from presales to delivery
Technical health & risk management
Strategic planning and stakeholder management across sales, product management and engineering teams
Sales enablement & growth support
Driving adoption & success plan execution
Conducting regular technical reviews
Identifying risks & recommending optimizations
Leading technical strategy for expansions
Supporting POCs & co-innovation
Managing resolution for escalated issues
Supporting growth through hands on sessions and enablement presentations
Working with the science and technology Partners such as Databricks and Google

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.

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