Enterprise Account Executive - Scientific Data Cloud

Job Description Who We Are

Tetra Science is the Scientific Data and AI Cloud company with a mission to radically improve and extend human life. Tetra Science 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. Tetra Science 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.

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Our core values are designed to guide our behaviours, 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 trust our people will make the right decisions and overcome any challenges when given data and context.
• Trust and Collaboration
  — We believe there can only be trust when there is transparency. We are committed to always communicating openly and honestly.
• Fearlessness and Resilience
  — We proactively run toward challenges of all types. We embrace uncertainty and we take calculated risks.
• Alignment with Customers
  — We are completely committed to ensuring our customers and partners achieve their missions and treat them with respect and humility.
• Commitment to Craft
  — We are passionate missionaries. We sweat the details, as the small things enable the big things.
• Equality of Opportunity
  — We seek out the best of the best regardless of gender, ethnicity, race, or age. We seek out those who embody our common values but bring unique and invaluable perspectives, talents and advantages.

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 the Scientific 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 Tetra Science 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 Tetra Science 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 Tetra Science’s products.

• 5+ years of experience in a sales role within Cloud Data OR related Life Sciences software is required
• No industry experience in Cloud Data OR related Life Sciences software, please do not apply.
• 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…