Enterprise Account Executive - Scientific Data Cloud (EMEA)

TetraScience
united kingdom
1 month ago
Applications closed

Related Jobs

View all jobs

Enterprise Account Executive - Scientific Data Cloud (EMEA)

Enterprise Sales Executive

Enterprise Sales Executive

Senior Manager - Enterprise Data & Analytics

Head of Sales (EMEA)

Service Manager

Who We Are

TetraScience is the Scientific Data and AI Cloud company with a mission to radically improve and extend human life. TetraScience combines the world's only open, purpose-built, and collaborative scientific data and AI cloud with deep scientific expertise across the value chain to accelerate and improve scientific outcomes. TetraScience is catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which it brings to life in a growing suite of next generation lab data management products, scientific use cases, and AI-based outcomes. For more information, please visit tetrascience.com.

Our core values are designed to guide our behaviors, actions, and decisions such that we operate as one. We are looking to add individuals to our team that demonstrate the following values:

  • Transparency and Context- We execute on our ambitious mission by starting with radical data transparency and business context. We openly and proactively share all vital data and make it actionable, so our employees and stakeholders can solve any problem presented to them.
  • Trust and Collaboration- We are committed to always communicating openly and honestly at every level of the organization, functionally, cross-functionally, internally, and externally. Empowering our employees will drive positive change across our entire ecosystem.
  • Fearlessness and Resilience- We must be fearless and resilient to fulfill our potential. We proactively run toward challenges of all types, we unblinkingly acknowledge and confront the brutal facts - which all innovative growth companies invariably face – and we embrace uncertainty and take calculated risks.
  • Alignment with Customers- We know that our customers' success is our success. We are honored and humbled by their commitment to us, and we are completely committed to ensuring they achieve their mission to unlock the world’s most important scientific innovations.
  • Commitment to Craft- We take our craft seriously and seek to be best-in-class in all we do, regardless of our functional role, seniority, or tenure. We are members of one team that combines intellectual horsepower and curiosity, humility, and empathy to ensure we are always learning and evolving.
  • Equality of Opportunity- We cannot imagine our journey without a workforce which reflects humanity’s diversity. We seek out the best of the best who bring with them unique and invaluable perspectives and talents and embody our common values - regardless of gender, ethnicity, race, or age.

What You Will Do

We are expanding rapidly and adding an Enterprise Account Executive to join our Enterprise Sales Team. The purpose of this role is to introduce potential to the value of theScientific Data Cloud.As an Enterprise Account Executive, you should be comfortable building a territory, segmenting a target list, leading large account acquisition campaigns, and managing stakeholders to account closure. You will also be responsible for the creation, management, and delivery of the engagement process of your focus accounts. As an Enterprise Account Executive, you will be team focused, have excellent collaboration skills and a high commitment to customer success. The ideal candidate will be a forward-thinking individual with a passion for selling complex data platforms and the ability to translate to enterprise customers how complex data platforms handle ingestion, harmonization, orchestration and enable the path to AI / ML.

Our success is defined by collaboration. You will have tremendous support to achieve your objectives, from a variety of teams, both internal and external.

  • Spearhead the growth & adoption of TetraScience Scientific Data Cloud
  • Manage the full sales cycle from prospecting and qualifying through closing.
  • Uncover new opportunities from our existing customers and target accounts.
  • Provide timely and accurate forecasts and clear visibility on sales and revenue performance by actively managing your pipeline of opportunities and weekly sales forecasts.
  • Leverage and coordinate cross-functional teams, when necessary (Legal, Engineering, Marketing, Product), to efficiently navigate complex sales cycles.
  • Engage in team development and mentoring.
  • Lead compelling presentations of TetraScience Data Integration Products and vision to a range of audiences from R&D IT, Informatics, Scientists and Data Scientists to Directors, VPs, CDOs and Digital Transformation Executives.
  • Travel to Customers and Events to prospect and promote TetraScience’s products.

What You Have Done

  • 5+ years of experience in a sales role within Cloud Data and Life Sciences software is required
  • For candidates with Cloud Data, experience selling and being able to translate to enterprise customers how complex data platforms handle ingestion, harmonization, orchestration and enable the path to AI / ML is required.
  • Experienced closing $1M+ SaaS sales opportunities with an understanding of how to map and work large accounts.
  • Understanding of all aspect of the sales cycle from Prospecting, Qualifying, Presentation, Demonstration, POC (Proof Stage) to negotiation and closing.
  • Have used and been trained in a modern sales methodology – Force Management, MEDDIC, MEDPIC, Challenger Sales, Target Account Selling, Revergy or similar.
  • Have experience with a digital sales stack – such as Salesforce, LinkedIn Navigator, ZoomInfo, SalesLoft… & Familiar with Social Selling.
  • Understanding of forecasting and time management.
  • Excellent written and verbal communication skills.
  • Ability to thrive in a constantly changing and evolving work environment.
  • Unwavering drive to be successful and constantly develop your career.
  • Biotech, Life Sciences, or Big Pharma domain expertise is a big plus.

What We Offer

  • 100% employer-paid benefits for all eligible employees and immediate family members
  • Unlimited paid time off (PTO)
  • 401K
  • Flexible working arrangements - Remote work + office as needed
  • Company paid Life Insurance, LTD/STD

We are not currently providing visa sponsorship for this position

#LIremote

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science vs. Data Mining vs. Business Intelligence Jobs: Which Path Should You Choose?

Data Science has evolved into one of the most popular and transformative professions of the 21st century. Yet as the demand for data-related roles expands, other fields—such as Data Mining and Business Intelligence (BI)—are also thriving. With so many data-centric career options available, it can be challenging to determine where your skills and interests best align. If you’re browsing Data Science jobs on www.datascience-jobs.co.uk, you’ve no doubt seen numerous listings that mention machine learning, analytics, or business intelligence. But how does Data Science really differ from Data Mining or Business Intelligence? And which path should you follow? This article demystifies these three interrelated yet distinct fields. We’ll define the core aims of Data Science, Data Mining, and Business Intelligence, highlight where their responsibilities overlap, explore salary ranges, and provide real-world examples of each role in action. By the end, you’ll have a clearer sense of which profession could be your ideal fit—and how to position yourself for success in this ever-evolving data landscape.

UK Visa & Work Permits Explained: Your Essential Guide for International Data Science Talent

Data science has rapidly evolved into a driving force for businesses and organisations worldwide. In the United Kingdom, companies across sectors—including finance, retail, healthcare, tech start-ups, and government agencies—are turning to data-driven insights to boost competitiveness and innovation. Whether you specialise in statistical modelling, machine learning, or advanced analytics, data scientists are in high demand throughout the UK’s vibrant tech ecosystem. If you’re an international data scientist aiming to launch or grow your career in the UK, one essential part of the journey is navigating the country’s visa and work permit system. From understanding how to secure sponsorship as a Skilled Worker to exploring the Global Talent Visa for leading experts, this article will help you understand the most relevant routes, criteria, and practical steps for your move. Let’s delve into everything you need to know about working in data science in the UK as an international professional.

Top UK Data Science Labs and Institutes: Where Innovation Meets Opportunity

Data has become the linchpin of modern innovation. From forecasting consumer behaviour to enabling cutting-edge health research, data science underpins breakthroughs across nearly every industry. In the United Kingdom, the data science landscape is particularly robust, fuelled by a blend of academic excellence, government support, and vibrant private-sector collaborations. For jobseekers or career-changers keen to explore opportunities in this exciting field, DataScience-Jobs.co.uk offers a gateway to the latest openings, news, and resources. In this in-depth article, we’ll tour the top UK data science labs and institutes, highlight the unique research and career paths available, and outline how you can position yourself to thrive in a field that’s as dynamic as it is rewarding.