TetraScience

Technical Account Manager (TAM), EMEA

Copenhagen, Denmark

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Scientific Data and AI CloudIndustries

Position Overview

  • Location Type: Remote
  • Job Type: Full-time
  • Salary: Not Specified

TetraScience is the Scientific Data and AI Cloud company, catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets. We offer next-generation lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this market, with major players in compute, cloud, data, and AI infrastructure converging on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships.

Candidates will be asked to review the "Tetra Way" letter, authored by the CEO, to ensure alignment with the company's values and ethos.

What You Will Do

Providing a strategic technical partnership with Customers, you will bridge the gap between business objectives and technical execution. You will be the primary technical leader for scientific end-users to design, architect, and deliver highly impactful solutions to pharmaceutical and biotech customers. You will work to understand scientists' and R&D IT analysts' needs, analyze their data environment, assist in the design and implementation of our solutions, and enable customers to achieve faster ROI, reduced risk, smoother scaling, accelerated product adoption, and ensure the long-term success of projects.

Key Responsibilities

  • 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
  • Deep and wide technical and science senior relationships

Strategic Technical Partnership

  • Deeply understand Customer scientific data and AI architecture & goals
  • Provide proactive, prescriptive technical guidance
  • Act as a trusted advisor aligned to Customer outcomes

Lifecycle Engagement & Risk Management

  • Drive adoption & success plan execution
  • Conduct regular technical reviews
  • Identify risks & recommend optimizations

Sales Support & Escalation Management

  • Lead technical strategy for expansions
  • Support POCs & co-innovation
  • Manage resolution for escalated issues

Value Delivered to Customers

  • Accelerate time to value
  • Improve stability & uptime
  • Strategic roadmap alignment
  • Prioritized support & faster resolutions
  • Higher ROI through continuous optimization

Commercial Acumen & Sales Enablement

  • Support growth through hands-on sessions and enablement presentations
  • Showcase tailored demonstrations to prospects, to both small and large audiences
  • Solution Mapping: Map business requirements to technical solutions.
  • ROI Calculation: Determine potential return on investment for proposed solutions.
  • Relationship Building: Cultivate relationships with clients, sales teams, and technical teams.
  • Working with science and technology Partners such as Databricks and Google
  • Negotiation Skills: Collaborate with clients and sales teams to reach beneficial agreements.

Technical Account Leadership

  • Product Knowledge: Develop a deep understanding of the company's product or service offerings.
  • Demo Development: Design and showcase tailored demonstrations to prospects.
  • Proposal Writing: Contribute

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.

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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