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Head of Sciborgs, EMEA

Job in Memphis, Shelby County, Tennessee, 37544, USA
Listing for: TetraScience
Full Time position
Listed on 2026-01-01
Job specializations:
  • Software Development
    AI Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Sciborg Leader Emea Region

Tetra Science is the Scientific Data and AI Cloud 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.

Tetra Science 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 Tetra Science as the de facto standard, entering into co‑innovation and go‑to‑market partnerships.

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 Tetra Science’s values and ethos are the right fit for you.

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 daily.

Tetra Science is hiring an elite Sciborg leader to oversee the EMEA region. All Scientific Business Analysts and Scientific Data Architects will report to you. You will collaborate with your counterparts to drive successful delivery of value for all EMEA implementations, ensure renewals, and assist in expansions.

As we rapidly evolve our platform and open up new value creation paths with new SKUs and new personas, we require an uncompromising and results‑driven engagement leader to help us deliver scientific and operational value as well as expand within our customer base.

You are a customer centric and see‑around‑the‑corner individual with a passion for delivering value while navigating customer hierarchy within the high‑inertia Life Sciences industry.

You will need to fundamentally embody the principles of extreme ownership and have a demonstrated history of building and leading high‑performing delivery or engagement teams.

You will have demonstrable experience in managing the critical activities of your teams and proof of consistently delivering complex data solutions in challenging scenarios. You are a player‑coach and not a spectator. You will be a forward‑deployed captain.

For the avoidance of doubt, we remain in the category creation and evangelism phase and thus you are not coming in to be a siloed people manager. It will require extreme self‑discipline and determination as we forge a category that will fundamentally and forever change the life sciences industry.

What You Will Do:
  • Lead a team of Scientific Business Analysts and Scientific Data Architects
  • Establish Tetra Science as the Scientific Data and AI thought leader with the Life Science customers
  • Develop and execute a comprehensive scientific 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 drive scientific business outcomes.
  • Stay up‑to‑date on industry trends and emerging technologies, positioning Tetra Science as a thought leader in the markets
  • Maintain ongoing relationships with existing customers, ensuring high levels of customer satisfaction and retention while expanding your network within the accounts
  • 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.
  • Travel to customer locations frequently, dependent on account and team needs.
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