Solutions Architect -EMEA

TetraScience; United Kingdom; Remote; GBP 40,000 - 80,000

Job description

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.

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.

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

You will work closely with our 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 aid in integration with clients' data systems.

This is a technical SA presales role, interfacing between internal and external stakeholders including sales teams, technical teams, customers, and potential clients. Your expertise not only covers the technical aspects of data integration, storage, access, and architectures but also includes the skills to convey complex technical concepts in a way that aligns with business needs and potential solutions.

Key Responsibilities

• Work with lab scientists and lab managers (or R&D IT with lab data responsibilities) to understand and define the workflow needed to solve their problems. Translate this knowledge into solutions using the Tetra Data Platform.
• Work with the Product and Engineering teams to create product plans - both one-off and platform-based.
• Partner with Customer Success - helping the customer implement our platform through process change management, while collecting feedback for TetraScience about what's working and potential improvements.
• Synthesize customer feedback into a cohesive vision for how labs can work better through seamless data flow.
• Advocate for the customer's perspective and actively collaborate with product management to prioritize feature development.

Business Acumen

• Solution Mapping: Map business requirements to technical solutions.
• ROI Calculation: Determine potential return on investment for proposed solutions.
• Industry Knowledge: Understand industry-specific challenges and trends to tailor solutions accordingly in the Biopharma and Pharma vertical.

Soft Skills

• Communication: Translate complex technical topics into easily digestible content for non-technical stakeholders.
• Presentation Skills: Deliver compelling presentations to both small and large audiences.
• Relationship Building: Cultivate relationships with clients, sales teams, and technical teams.
• Problem-solving: Handle objections and come up with solutions quickly.
• Negotiation Skills: Collaborate with clients and sales teams to reach beneficial agreements.
• Product Knowledge: Develop a deep understanding of the company's product or service offerings.
• Demo Development: Design and showcase tailored demonstrations to prospects.
• Skilled in crafting responses to Requests for Information (RFIs), Requests for Proposals (RFPs), and adept at preparing Statements of Work (SOWs).

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 and/or 3+ years professional experience in Life Sciences R&D IT / Informatics. Previous experience as a practicing bench or data scientist highly valued.
• Deep understanding of Life Sciences lab information systems such as ELN, CDS, MS, NGS software, LIMS, Registration, LES, analytics, visualization suites.
• Deep understanding of drug discovery, development, and manufacturing processes. Experience in large molecule or new modalities is a plus.
• Proficient in enterprise sales within the pharmaceutical sector.
• Intellectually curious: Unwavering drive to learn and know more every day.
• Ability to deal with ambiguity and thrive in a constantly changing and evolving work environment.
• Experience with AWS application stack preferred.

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 unable to provide sponsorship for the role.

Seniority Level

Mid-Senior level

Employment Type

Full-time

Job Function

Engineering and Information Technology

Industries

Software Development