Skills
Leadership
Go
Tableau
NoSQL
Big Data
Data Warehousing
Data Governance
Risk Management
Stakeholder Management
Negotiation
Product Management
Sales
Relationship Building
Product Knowledge
Architecture
Databases
power bi
Azure
AWS
Project Management
cloud platforms
Analytics
Strategic Planning
Snowflake
Spark
Databricks
Job Specifications
Who We Are
TetraScience is the Scientific Data and AI company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes.
TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world's dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements | TetraScience Newsroom
In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective.
It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day.
What You Will Do
Providing a strategic technical partnership with Customers, you will bridge the gap between the 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 the 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 to RFPs/RFIs with detailed technical specifications and solutions
Project Management
Timeline Management: Ensure projects are kept on track and within scope
Stakeholder Management: Coordinate with various stakeholders to ensure the smooth flow of presales activities
Requirements
What You Have Done
Scientific background academic and/or 5+ years professional experience in Life Sciences
Senior Technical Architecture experience 5+ years
Commercial tech sales support
R&D IT OR Data & Informatics
Data Modeling: Understand logical, physical, and conceptual data models
Database Systems: Proficiency in cloud RDBMS (like Snowflake) and NoSQL
databases (like Redshift and Databricks)
Big Data Technologies: Familiarity with tools like Spark, and data warehousing solutions
Cloud Platforms: Experience with cloud providers mainly AWS especially their data services, but also Azure, Google Cloud,
Data Governance and Quality: Understanding of data lineage, metadata management, and data quality processes and tools
Analytics and BI Tools: Familiarity with tools such as Tableau, Power BI, QlikView, and their backend requirements
Benefits
Competitive Salary an
About the Company
TetraScience is the Scientific Data and AI Cloud company with a mission to accelerate scientific discovery and improve and extend human life.
The Tetra Scientific Data and AI Cloud(TM) is the only open, cloud-native platform purpose-built for science that connects lab instruments, informatics software, and data apps across the biopharma value chain and delivers the foundation of harmonized, actionable scientific data necessary to transform raw data into accelerated and improved scientific outcomes.
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