TetraScience

👥 101-250💰 $80,000,000 Series B almost 4 years agoPharmaceutical Biotechnology Data Management Internet of Things Life Science Data Integration Software💼 Private Company

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TetraScience offers the world's first R&D Data Cloud, aiming to revolutionize life sciences research and development. Their Tetra Data Platform enables scientists in pharma and biotech to access centralized and actionable data, facilitating digital lab transformation. With a focus on innovative software solutions, TetraScience is set to become a leading player in the life sciences industry.

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Jobs at this company:

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🔥 Engagement Director, Americas

Posted 6 days ago

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🔥 Scientific Business Analyst, Scientific AI

Posted 14 days ago

📍 United States

🔍 Life Sciences

🔧 Requirements

PhD with 15+ years of industry experience in life sciences with extensive domain knowledge in drug discovery (target ID through lead optimization), preclinical development, CMC (all drug modalities), or product quality testing.
Proven track record of defining and implementing AI/ML-driven use cases in productized environments.
Collaborated with cross-functional teams, including product managers, software engineers, and scientific stakeholders.
Performed extensive exploratory data analysis and workflow optimization to enable scientific outcomes not previously possible
Engaged diverse audiences, from scientists to executive stakeholders using your excellent communication and storytelling abilities

💡 Responsibilities

Investigate customer datasets to identify gaps, enrichment opportunities, and AI-readiness factors.
Collaborate with customers to define, iterate, and refine AI/ML-driven scientific use cases.
Interview scientists and guide them in expanding and leveraging their data for AI applications.
Perform exploratory data analysis (EDA) and define data transformations for AI/ML use cases.
Develop workflow diagrams, process mappings, ERDs, AS-IS/TO-BE workflows, and ontology definitions.
Provide feedback on AI/ML models to enhance scientific outcomes and improve product offerings.
Conduct technical demonstrations, showcase AI applications, and drive adoption.
Proactively suggest experiments or data strategies that strengthen customer insights and outcomes.

AWSPythonSQLArtificial IntelligenceBusiness AnalysisData AnalysisETLMachine LearningProduct ManagementData engineeringAnalytical SkillsCI/CDAgile methodologiesRESTful APIsLinuxExcellent communication skillsQuality AssuranceData visualizationStakeholder managementData modeling

Posted 14 days ago

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🔥 Head of Product Management, Next-Gen Lab Data Management Products

Posted 15 days ago

📍 United States

🔍 Software Development

🔧 Requirements

5+ years in life science software product management, ideally with a vendor producing LIMS, ELN, or SDMS products
Proven track record of successfully championing trajectory-changing shifts in the biopharma industry which have resulted in revenue and customer growth
Deep knowledge of data management, data visualization techniques and tools, as well as experience managing data based products that deal with complex data, processing and analysis
Proven track record of developing and launching successful products, from ideation through implementation
Experience of building and leading highly technical product management teams
Ability to travel regularly to customer locations and whiteboard the product strategy with them
Experience of working within a biopharma company in an IT related function is a big plus

💡 Responsibilities

Set the vision and lead the product strategy for our next-gen scientific data management and lab automation solutions and articulate this vision in every customer interaction
Evangelize and ratify your roadmap every day, every week
Build deep relationships with our customers' IT teams; deeply understand their processes and objectives
Conduct thorough market research and user feedback sessions to understand the needs and challenges faced by scientific and operational IT translating these insights into high value product features
Lead and develop a team of product managers who will specialize in different areas of the products surface area (for example data management, data integration, data accessibility)
Collaborate with UX/UI designers to ensure the product interface is user-friendly, facilitating seamless data access, reuse and analysis.
Make appropriate tradeoffs to optimize time-to-market
Build and maintain annual release plan, manage feature delivery from discovery to validation in production
Be conversant with architects and engineers in order to prioritize, develop, and launch product features that align with our customers needs.
Research competition and market trends and propose roadmap trade-offs between parity and innovation
Decompose complex use cases and technical requirements into smaller manageable stories by creating and prioritizing a backlog with your engineering team.
Bring creative ideas and proposals to development teams and executives supported by qualitative justification and quantitative analysis
Develop and validate new concept prototypes

LeadershipSQLAgileCloud ComputingProduct ManagementCross-functional Team LeadershipProduct DevelopmentProduct AnalyticsAPI testingData engineeringCustomer serviceRESTful APIsMarket ResearchData visualizationTeam managementStrategic thinkingData modelingData analyticsData managementCustomer SuccessSaaS

Posted 15 days ago

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🔥 Senior Product Manager - Enterprise Platform Administration

Posted 15 days ago

📍 United States

🔧 Requirements

7+ years of technical product management experience
Strong technical background in cloud computing, identity and access management, ML / AI model management, and enterprise SaaS platforms
Proficient in data governance design for including functional metadata management, schema, model management.

💡 Responsibilities

Own the Enterprise Platform Administration area product strategy and roadmap, prioritizing data governance, compliance, and operational intelligence areas.
Define and optimize access management, authentication, and audit capabilities in alignment with regulatory requirements.
Build relationships with Scientific Technology (IT) customers; understand customer’s processes and objectives; and introduce new ways of doing things better and more productive and solicit feedback
Research other industry comparables, and market trends to propose roadmap trade-offs between parity and innovation
Bring creative ideas and proposals to development teams and executives supported by qualitative justification and quantitative analysis.
Define and measure KPIs to track adoption, performance, and user behavior of platform administration and search capabilities.
Develop and validate new concept prototypes.
Lead product requirements definition and ensure timely delivery of valuable experiences.
Manage area roadmap and work with stakeholders to prioritize initiatives and overall goals with your team
Decompose complex use cases and technical requirements into smaller manageable stories by creating and prioritizing a backlog with your engineering team.
Assess roadmap / backlog trade-offs, make recommendations informed by stakeholder and technical constraints, and deliver innovation with this in mind.

AWSSQLCloud ComputingProduct ManagementCross-functional Team LeadershipProduct DevelopmentProduct AnalyticsRESTful APIsComplianceData visualizationStrategic thinkingData modelingData analyticsData managementSaaS

Posted 15 days ago

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🔥 Head of Engagement, EMEA

Posted 18 days ago

📍 Brussels, Belgium; London, United Kingdom; Copenhagen, Denmark; Frankfurt, Germany; Zürich, Switzerland

🔍 Life Sciences software and data market

🔧 Requirements

10+ years in delivery leadership roles within the Life Sciences software and data market
5+ years in management consulting
Worked in startup environments
Led teams to successfully deploy solutions in the top 100 bio/pharma cohort (not biotech alone)
Delivered complex enterprise deals - $ millions to tens of millions in ARR per deal
Expanded customer land deals on a regular basis - $ hundreds of thousands to millions in ACV
Created the highest performing teams in your orgs
Evidenced strong leadership skills while navigating difficult periods with your team
Coached and mentored Engagement, Project, Program and/or Customer Success Managers who went on to do their best work due to your assistance
Operated effectively in a fast-paced, team environment

💡 Responsibilities

Develop and execute a comprehensive delivery motion to drive faster time-to-value with high customer satisfaction and meet annual renewal targets.
Collaborate with Sales leadership and Account Executives to pursue new business opportunities within existing accounts.
Work closely with product teams to bring customer enhancement requests to fruition and deliver more value.
Stay up-to-date on industry trends and emerging technologies, positioning TetraScience as a thought leader in the market.
Leverage and coordinate cross-functional teams, when necessary (Legal, Engineering, Marketing, Product), to efficiently coordinate complex implementations and product deployments.
Aligning to the renewal strategy, you will collaborate with Sales leadership and Account Executives to define and implement account-specific plans to achieve sales objectives.
Maintain ongoing relationships with existing customers, ensuring high levels of customer satisfaction and retention while expanding your network within the accounts.
Manage renewal forecasting and reporting and regularly update senior leadership on progress toward targets.
Build and manage a high-performance delivery team, setting clear targets and objectives to ensure individual and team success.
Lead by example and coach your team to develop in their careers and inspire your team to do the best work of their life.
Employ analytical and EQ skills to generate insights from customers’ data strategies and actions, respectively.

LeadershipProject ManagementBusiness DevelopmentData AnalysisPeople ManagementSoftware ArchitectureProject CoordinationCross-functional Team LeadershipFinancial ManagementStrategic ManagementCommunication SkillsAnalytical SkillsProblem SolvingCustomer serviceMicrosoft OfficeAgile methodologiesRESTful APIsMentoringNegotiationPresentation skillsWritten communicationCoachingInterpersonal skillsRelationship buildingAccount ManagementTeamworkVerbal communicationReportingActive listeningClient relationship managementSales experienceMarket ResearchRisk ManagementTeam managementStrategic thinkingData modelingData managementCustomer supportChange ManagementCustomer SuccessEnglish communicationSaaSBudget management

Posted 18 days ago

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🔥 Head of Product Marketing, Next-Gen Lab Data Management Products

Posted 19 days ago

📍 United States

🔍 Life Science Software

🔧 Requirements

5+ years in life science software product marketing
Experience working with an enterprise customer base and sales force.
Proven track record of successfully championing trajectory-changing shifts in the biopharma industry which have resulted in revenue and customer growth
Deep knowledge of data management, data visualization techniques and tools, as well as experience managing data based products that deal with complex data, processing and analysis

💡 Responsibilities

Create and measure yourself on the pipeline generated.
Enable and equip the sales team with crucial sales tools, live training and resources that allows them to communicate the platform’s technical capabilities and value to customers.
Deliver customer-facing technical marketing content (e.g. whitepapers, ROI calculators, blogs, white papers, solution briefs, eBooks, website copy, videos, and webinars) that attracts and engages our target Scientific IT persona while fueling broader marketing programs.
Develop, maintain and evolve new pricing/packaging models to sell the full value of TetraScience’s Next-Gen Lab Data Management Products.
Alongside our technical and enablement teams you will create technical content like demos, presentations and FAQs to assist in the sales process.
Build deep relationships with our customers' IT teams; deeply understand their processes and objectives
Be deeply knowledgeable of key competitors’ strengths/weaknesses and reasons for competitive wins/losses (including in-house or custom development) and create tools that enable Sales to successfully beat the competition.

AWSLeadershipSQLBusiness IntelligenceCloud ComputingSalesforceProduct OperationsProduct DevelopmentProduct AnalyticsAPI testingData engineeringProduct designREST APICI/CDCross-functional collaborationSales experienceMarket ResearchData visualizationTeam managementStrategic thinkingFinancial analysisData modelingData analyticsData managementCustomer SuccessSaaS

Posted 19 days ago

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🔥 Head of Applied AI

Posted 22 days ago

📍 United States

🔍 Life Sciences

🔧 Requirements

15+ years of hands on experience in building data engineering platform, and AI/ML solutions, with a substantial portion in life sciences
Proven ability to define and drive AI strategy within a life sciences organization
Proven track record of deploying AI models and Use cases in production, addressing real-world biological and other life science problems.
Deep understanding of life sciences domains such as: Drug development pipelines, Assay / test method development areas such as HTS, DMPK etc., Regulatory and compliance framework
Experience in managing AI initiatives from concept to deployment
Proven track-record of success developing product strategy within a start-up environment
Strong knowledge of machine learning (ML) and artificial intelligence (AI) methods, including: Deep Learning (DL), Reinforcement Learning (RL), Natural Language Processing (NLP), Computational biology and statistical modeling
Proficiency in programming languages and tools such as Python, R, TensorFlow, PyTorch etc.
Significant experience with AWS, Services-Architecture and web-scale design patterns
Excellent communication skills to convey complex technical concepts to non-technical stakeholders

💡 Responsibilities

Own, define, and execute the technical and product vision for Applied AI solutions
Support and advise executive leadership regarding technical and commercial feasibility
Identify business opportunities and develop AI-driven solutions
Understand the commercial impact of AI in life sciences (e.g., improving R&D efficiency, reducing costs, accelerating time-to-market)
Provide key inputs into technology evaluation and technology planning activities
Provide thought leadership and represent TetraScience at industry and technology conferences
Collaborate with the customers and productize solutions
Collaborate with cross functional teams to build and evangelize the solutions
Provide hands on technical leadership for the SAIL (Scientific AI Leadership) team

AWSBackend DevelopmentLeadershipProject ManagementPythonSQLArtificial IntelligenceCloud ComputingMachine LearningProduct ManagementPyTorchSoftware ArchitectureCross-functional Team LeadershipData engineeringData scienceTensorflowCommunication SkillsRESTful APIsMicroservicesStrategic thinkingData modeling

Posted 22 days ago

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🔥 Enterprise Account Executive - Scientific Data Cloud (EMEA)

Posted 3 months ago

📍 United Kingdom, Germany, Ireland

🧭 Full-Time

🔍 Cloud Data and Life Sciences software

🔧 Requirements

5+ years of experience in a sales role within Cloud Data and Life Sciences software
Experienced in closing $1M+ SaaS sales opportunities
Understanding of the sales cycle and modern sales methodologies

💡 Responsibilities

Spearhead growth & adoption of Scientific Data Cloud
Manage the full sales cycle from prospecting to closing
Provide timely and accurate sales forecasts

Cloud ComputingMachine LearningSalesforceSaaS

Posted 3 months ago

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🔥 Sr. Platform and DataLake Engineer

Posted 4 months ago

📍 United States

🧭 Full-Time

🔍 Software Development

🔧 Requirements

Experienced in designing and implementing complex, scalable data pipelines/ETL services.
Expert level of Python, Java, and Typescript.
Extensive in cloud-based data storage and processing technologies, particularly AWS services such as S3, Step Functions, Lambda, and Airflow.
Expert level of understanding and hands-on experience with Lake House architecture.

💡 Responsibilities

Design, develop, and optimize data lake solutions to support our scientific data pipelines and analytics capabilities.
Design, develop, and optimize data pipelines and workflows within the Databricks platform.
Design and architect services to meet customer data processing needs.
Implement data quality and governance frameworks to ensure data integrity and compliance.

AWSPythonSoftware DevelopmentETLJavaTypeScriptAirflowData engineeringSparkCollaborationCompliance

Posted 4 months ago

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🔥 Enterprise Account Executive - Scientific Data Cloud

Posted 4 months ago

📍 United States

🧭 Full-Time

🔍 Scientific Data and AI Cloud

🔧 Requirements

5+ years of experience in a sales role within Cloud Data or related Life Sciences software is required.
Experience selling complex data platforms and translating their value to enterprise customers is required.
Proven track record in closing $1M+ SaaS sales opportunities and growing accounts into 8-figure opportunities.
Understanding of the entire sales cycle including Prospecting, Qualifying, Presentation, Demonstration, POC, negotiation, and closing.
Familiarity with modern sales methodologies (e.g., Force Management, MEDDIC, Challenger Sales).
Experience with digital sales stacks (e.g., Salesforce, LinkedIn Navigator) and social selling.
Strong forecasting and time management skills.
Excellent written and verbal communication skills.
Ability to thrive in a changing work environment.
Biotech, Life Sciences, or Big Pharma domain expertise is a plus.

💡 Responsibilities

Spearhead the growth & adoption of TetraScience Scientific Data Cloud
Manage the full sales cycle from prospecting and qualifying through closing.
Uncover new opportunities from existing customers and target accounts.
Provide timely and accurate forecasts and clear visibility on sales and revenue performance by managing your pipeline.
Leverage and coordinate cross-functional teams as needed for complex sales cycles.
Engage in team development and mentoring.
Lead presentations of TetraScience Data Integration Products to various stakeholders.
Travel to customers and events to promote TetraScience products.

SalesforceCommunication SkillsCollaborationMentoringNegotiationTime ManagementSales experience

Posted 4 months ago

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