Why This Job is Featured on The SaaS Jobs
This Scientific Solutions Partner role sits at a common SaaS crossroads: technical pre sales and post sale lifecycle ownership for a platform product, anchored in a regulated, data heavy domain. In the SaaS ecosystem, positions like this matter because they translate product capabilities into repeatable customer outcomes, especially when deployments touch cloud data stacks, governance, and integration with a broader partner landscape.
For a long term SaaS career, the work builds durable muscles in solution architecture, stakeholder management, and value articulation across the full commercial journey. Exposure to RFPs, proofs of concept, adoption planning, and technical risk reviews develops an operator’s view of how SaaS revenue is sustained beyond initial purchase. The mix of customer facing leadership and collaboration with product and engineering also maps well to future paths in solutions architecture leadership, product strategy, or technical account management within platform oriented SaaS.
This role is best suited to professionals who enjoy being the technical lead in customer conversations and can move between scientific end users and R and D IT counterparts without losing precision. It will fit someone comfortable with ambiguity in complex data environments, who prefers consultative problem solving and can balance depth in architecture with clear commercial priorities.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
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