Job Description
About TetraScience
TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft.
In connection with your candidacy, you will be asked to carefully review “The Tetra Way,” authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you.
What You Will Do
You will work with clients from prospecting, to demonstrating Tetra services, to completing and winning RFP’s. You will provide a strategic technical partnership with customers, bridging 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 point of contact through the sales cycle
- Lifecycle engagement & adoption acceleration from engagement 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 the 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.
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.
Scripting and Database Systems: Proficiency in Python, 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.
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
