Senior PreSales Solution Architect, United Kingdom

Technical Account Manager (TAM), United Kingdom

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Who We Are

TetraScience is the Scientific Data and AI Cloud 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.

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

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

• 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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