TetraScience

TetraScience offers a Scientific Data and AI Cloud designed to liberate, unify, and transform raw scientific data into AI-native data. This platform aims to enable Scientific AI by providing a purpose-built, open, and collaborative environment. Key products include the Scientific Data and AI Cloud, Chromatography Insights App, GxP Compliance, and Tetra Sciborgs. The company emphasizes its vendor-agnostic approach, preventing proprietary data silos and vendor lock-in. TetraScience claims to increase scientist productivity by 10x, speed up production insights by 40x, and reduce time to market by 60%. They have a significant customer base with 48% of top pharma companies using their services and 46% of employees having a life sciences background. The company focuses on enabling AI for discovery and optimizing research productivity, aiming to reduce wet lab work and redirect scientists' time to higher-value activities.

AI CloudChromatographyData ManagementData ReplatformingGxP ComplianceLab AutomationLife SciencesScientific Datatetrascience.com

TetraScience

AI CloudChromatographyData ManagementData ReplatformingGxP ComplianceLab AutomationLife SciencesScientific Datatetrascience.com

HQBoston, US

Team Size182

Open Jobs52

Total Funding$99M

Latest Fundraise5 years ago

TL;DR

What they do: Provide a vendor-agnostic Scientific Data and AI Cloud to harmonize and operationalize laboratory and R&D data for life sciences.

Founded: 2014

HQ: Boston, MA

Notable funding: Series B $80M co-led by Insight Partners and Alkeon Capital (Apr 2021)

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Company Overview

Problem Domain

Laboratory and R&D data integration, harmonization, and preparation for AI-driven analysis in life sciences.

Founded

2014

Industry

Software Development

Tech Stack

Cloud-native platform

Instrument and informatics integrations

Vendor-agnostic data harmonization

Funding Track Record

Seed- 2015-06-01

Early seed round with investors including Rough Draft Ventures, Founder Collective, Floodgate, First Round Capital.

Series A- 2019-10-31

8,000,000

Series A included Waters Corporation joining Floodgate Capital, First Round Capital, Underscore VC, Founder Collective, and Y Combinator.

Series B- 2021-04-15

80,000,000

Series B announced April 15, 2021.

Investor Signal

“Has attracted strategic and growth investors including Waters Corporation, Insight Partners, and Alkeon Capital across rounds.”

Join the Team

Technical Account Manager (TAM) - New York

RemoteNew York, NY, US

Remote • New York, NY, US

Who We Are TetraScience is the Scientific Data and AI company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes.

TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world's dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements | TetraScience Newsroom

In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective.

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

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It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day.

What You Will Do Providing a strategic technical partnership with Customers, you will bridge 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 technical point of contact across strategic accounts
Lifecycle engagement & adoption acceleration from presales 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 technical 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

Requirements 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
Database Systems: Proficiency in 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

100% employer-paid benefits for all eligible employees and immediate family members
Unlimited paid time off (PTO)
401K
Flexible working arrangements- remote work
Company paid Life Insurance, LTD/STD
A culture of continuous improvement where you can grow your career and get coaching

We are not currently providing visa sponsorship for this position

TetraScience

TetraScience

TL;DR

Related Companies

Company Overview

Problem Domain

Founded

Industry

Tech Stack

Funding Track Record

Investor Signal

Founders

What we do

Join the Team

Technical Account Manager (TAM) - New York

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

Frontend Developer

DevOps Engineer

AI Researcher

Data Scientist

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Frontend Developer