TetraScience
Artificial Intelligence • Biotechnology • SaaS
TetraScience is a company dedicated to transforming raw scientific data into AI-native datasets for advanced scientific applications. By collaborating closely with leading biopharmaceutical companies, TetraScience enhances productivity, accelerates insights, and ensures data integrity across the scientific value chain. Their platform offers solutions for next-generation lab data management, AI-driven scientific outcomes, and compliance with industry standards. As the first company to provide a data and AI cloud built specifically for science, TetraScience enables its clients to liberate, unify, and transform their data, overcoming traditional data silos and boosting scientific productivity by providing a flexible, open, and collaborative infrastructure.
Technical Account Manager, TAM
Job not on LinkedIn
September 23
TetraScience
Artificial Intelligence • Biotechnology • SaaS
TetraScience is a company dedicated to transforming raw scientific data into AI-native datasets for advanced scientific applications. By collaborating closely with leading biopharmaceutical companies, TetraScience enhances productivity, accelerates insights, and ensures data integrity across the scientific value chain. Their platform offers solutions for next-generation lab data management, AI-driven scientific outcomes, and compliance with industry standards. As the first company to provide a data and AI cloud built specifically for science, TetraScience enables its clients to liberate, unify, and transform their data, overcoming traditional data silos and boosting scientific productivity by providing a flexible, open, and collaborative infrastructure.
📋 Description
• Providing a strategic technical partnership with Customers, bridge the gap between business objectives and technical execution. • Be the primary technical leader for scientific end-users to design, architect, and deliver solutions to pharmaceutical and biotech customers. • Understand scientists' and R&D IT analysts' needs, analyze their data environment, assist in design and implementation of solutions and enable customers to achieve faster ROI, reduced risk, smoother scaling, accelerated product adoption and ensure long-term success of projects. • 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. • Deeply understand Customer scientific data and AI architecture & goals, provide proactive, prescriptive technical guidance, act 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, strategic roadmap alignment, prioritized support & faster resolutions, higher ROI through continuous optimization. • Support growth through hands on sessions and enablement presentations, showcase tailored demonstrations to prospects, solution mapping, ROI calculation, relationship building, working with partners such as Databricks and Google, negotiation skills. • Develop deep understanding of product or service offerings, demo development, contribute to RFPs/RFIs with detailed technical specifications and solutions. • Timeline management and stakeholder management to ensure projects are kept on track and within scope.
🎯 Requirements
• 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 and equity in a fast-growing company. • Supportive, team-oriented culture of continuous improvement. • Generous paid time off (PTO). • Flexible working arrangements - Remote work. • We are not currently providing visa sponsorship for this position
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