Senior PreSales Solution Architect, United Kingdom

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 long-term project success., * Primary technical point of contact across strategic accounts

• Lifecycle engagement and adoption acceleration from presales to delivery
• Technical health and risk management
• Strategic planning and stakeholder management across sales, product management, and engineering teams
• Sales enablement and growth support
• Develop deep and wide technical and science senior relationships

Strategic Technical Partnership

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

Lifecycle Engagement & Risk Management

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

Sales Support & Escalation Management

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

Value Delivered to Customers

• Accelerate time to value
• Improve stability and uptime
• Strategic roadmap alignment
• Prioritized support and 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 for 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
• Collaborate 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 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 smooth flow of presales activities

• Scientific background (academic) and/or 5+ years of 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 (e.g., Snowflake) and NoSQL databases (e.g., Redshift, Databricks)
• Big Data Technologies: Familiarity with tools like Spark and data warehousing solutions
• Cloud Platforms: Experience with AWS data services, and also Azure and Google Cloud
• Data Governance and Quality: Understanding of data lineage, metadata management, and data quality processes and tools
• Analytics and BI Tools: Familiarity with Tableau, Power BI, QlikView, and their backend requirements

• 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

Who We Are: TetraScience is the Scientific Data and AI Cloud company driving the Scientific AI revolution with AI-native scientific data sets, lab data management solutions, scientific use cases, and AI-enabled outcomes.