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Scientific Solutions Partner(m/w/x)
Designing and demonstrating scientific data solutions on Tetra OS for life sciences R&D. Senior technical architecture and commercial sales support experience required. Remote work, generous PTO, flexible arrangements.
Requirements
- Scientific background (academic and/or professional)
- Senior Technical Architecture experience
- Commercial tech sales support
- R&D IT or Data & Informatics
- Data Modeling (logical, physical, conceptual)
- Python scripting proficiency
- Cloud RDBMS (Snowflake) proficiency
- NoSQL databases (Redshift, Databricks) proficiency
- Spark familiarity
- Data warehousing solutions familiarity
- AWS data services experience
- Azure cloud experience
- Google Cloud experience
- Data Governance understanding
- Data Quality understanding
- Data lineage understanding
- Metadata management understanding
- Tableau familiarity
- Power BI familiarity
- QlikView familiarity
- Mid-Senior level experience
Tasks
- Prospect and demonstrate Tetra services
- Complete and win RFPs
- Bridge business objectives and technical execution
- Design and architect impactful solutions
- Understand scientists' and R&D IT analysts' needs
- Analyze customer data environments
- Enable faster ROI and reduced risk
- Facilitate smoother scaling and product adoption
- Ensure long-term project success
- Serve as primary technical leader
- Manage technical health and risks
- Plan and manage stakeholder engagement
- Support sales enablement and growth
- Build deep technical and science relationships
- Understand customer scientific data and AI architecture
- Provide proactive technical guidance
- Act as a trusted advisor
- Drive adoption and success plan execution
- Conduct regular technical reviews
- Identify risks and recommend optimizations
- Lead expansion strategies
- Support POCs and co-innovation
- Manage escalated issue resolution
- Accelerate time to value
- Improve system stability and uptime
- Align with strategic roadmaps
- Provide prioritized support and faster resolutions
- Optimize ROI through continuous improvement
- Conduct hands-on sessions and enablement presentations
- Showcase tailored demonstrations to prospects
- Map business requirements to technical solutions
- Calculate potential ROI for solutions
- Cultivate client and team relationships
- Collaborate with science and technology partners
- Develop negotiation skills
- Deepen product knowledge
- Design and present tailored demonstrations
- Contribute to RFPs/RFIs with technical details
- Manage project timelines and scope
- Coordinate with stakeholders for smooth presales
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Snowflake
- Redshift
- Databricks
- Spark
- AWS
- Azure
- Google Cloud
- Tableau
- Power BI
- QlikView
Benefits
More Vacation Days
- Generous paid time off
Flexible Working
- Flexible working arrangements
- Remote work
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Scientific Solutions Partner(m/w/x)
Designing and demonstrating scientific data solutions on Tetra OS for life sciences R&D. Senior technical architecture and commercial sales support experience required. Remote work, generous PTO, flexible arrangements.
Requirements
- Scientific background (academic and/or professional)
- Senior Technical Architecture experience
- Commercial tech sales support
- R&D IT or Data & Informatics
- Data Modeling (logical, physical, conceptual)
- Python scripting proficiency
- Cloud RDBMS (Snowflake) proficiency
- NoSQL databases (Redshift, Databricks) proficiency
- Spark familiarity
- Data warehousing solutions familiarity
- AWS data services experience
- Azure cloud experience
- Google Cloud experience
- Data Governance understanding
- Data Quality understanding
- Data lineage understanding
- Metadata management understanding
- Tableau familiarity
- Power BI familiarity
- QlikView familiarity
- Mid-Senior level experience
Tasks
- Prospect and demonstrate Tetra services
- Complete and win RFPs
- Bridge business objectives and technical execution
- Design and architect impactful solutions
- Understand scientists' and R&D IT analysts' needs
- Analyze customer data environments
- Enable faster ROI and reduced risk
- Facilitate smoother scaling and product adoption
- Ensure long-term project success
- Serve as primary technical leader
- Manage technical health and risks
- Plan and manage stakeholder engagement
- Support sales enablement and growth
- Build deep technical and science relationships
- Understand customer scientific data and AI architecture
- Provide proactive technical guidance
- Act as a trusted advisor
- Drive adoption and success plan execution
- Conduct regular technical reviews
- Identify risks and recommend optimizations
- Lead expansion strategies
- Support POCs and co-innovation
- Manage escalated issue resolution
- Accelerate time to value
- Improve system stability and uptime
- Align with strategic roadmaps
- Provide prioritized support and faster resolutions
- Optimize ROI through continuous improvement
- Conduct hands-on sessions and enablement presentations
- Showcase tailored demonstrations to prospects
- Map business requirements to technical solutions
- Calculate potential ROI for solutions
- Cultivate client and team relationships
- Collaborate with science and technology partners
- Develop negotiation skills
- Deepen product knowledge
- Design and present tailored demonstrations
- Contribute to RFPs/RFIs with technical details
- Manage project timelines and scope
- Coordinate with stakeholders for smooth presales
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Snowflake
- Redshift
- Databricks
- Spark
- AWS
- Azure
- Google Cloud
- Tableau
- Power BI
- QlikView
Benefits
More Vacation Days
- Generous paid time off
Flexible Working
- Flexible working arrangements
- Remote work
About the Company
TetraScience
Industry
Science
Description
TetraScience is the Scientific Data and AI company, catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets for lab data management solutions and AI-enabled outcomes.
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