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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
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
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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