[Remote] Technical Account Manager (TAM), United Kingdom at TetraScience

London, England, United Kingdom

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Pharmaceutical, BiotechnologyIndustries

Requirements

Deep understanding of customer scientific data and AI architecture & goals
Commercial acumen
Negotiation skills to collaborate with clients and sales teams
Product knowledge: deep understanding of the company's product or service offerings
Solution mapping: ability to map business requirements to technical solutions
ROI calculation: ability to determine potential return on investment for proposed solutions
Relationship building: ability to cultivate relationships with clients, sales teams, and technical teams
Working with science and technology partners (e.g., Databricks, Google)
Alignment with TetraScience values and ethos (as outlined in The Tetra Way letter)

Responsibilities

Serve as primary technical point of contact across strategic accounts
Provide lifecycle engagement & adoption acceleration from presales to delivery
Manage technical health & risk
Conduct strategic planning and stakeholder management across sales, product management, and engineering teams
Support sales enablement & growth
Build deep and wide technical and science senior relationships
Provide proactive, prescriptive technical guidance as a trusted advisor aligned to customer outcomes
Drive adoption & success plan execution
Conduct regular technical reviews
Identify risks & recommend optimizations
Lead technical strategy for expansions
Support POCs & co-innovation
Manage resolution for escalated issues
Accelerate time to value, improve stability & uptime, align strategic roadmap, provide prioritized support & faster resolutions, achieve higher ROI through continuous optimization
Support growth through hands-on sessions and enablement presentations
Showcase tailored demonstrations to prospects (small and large audiences)
Design and showcase tailored demonstrations (demo development)
Contribute to RFPs/proposal writing

Skills

Solution Architecture

Data Analysis

Technical Account Management

Customer Success

Scientific Data Management

AI Cloud

R&D IT

Data Integration

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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