At Domino Data Lab, we have an ambitious vision for data science. Our platform helps data science teams accelerate research, increase collaboration, and rapidly deploy predictive models. Our customers are the most sophisticated analytical organizations in the world, including companies like Bristol Myers Squibb, Allstate, Bayer, and Red Hat. Backed by Sequoia Capital, Coatue Management, Bloomberg Beta, and Zetta Venture Partners, we are at the epicenter of the data science revolution, helping companies develop the next breakthrough in medicine, build better cars, or recommend the best song play next.
The mission of the Life Sciences sales team is to position Domino as the single platform for data science across the enterprise and to support Domino’s expansion into the Life Sciences vertical. Our main focus will be to meet senior leaders, uncover opportunities and complete a successful sales cycle. You will help Domino execute better at enterprise-level selling and to engage more senior stakeholders across Business & IT.
- Develop deep understanding of your accounts, including: AI initiatives and how Domino solutions align to them, key stakeholders, competitors, partners
- Open and maintain relationships with executives at the Director, Exec Dir, VP and C-level.
- Uncover opportunities for the customer/prospect to use Domino software, set the selling strategy and execute on the sales cycle
- Contribute meaningfully in building our Life Sciences pipeline
- Position Domino for success in the account by properly aligning our people to the customer. Specifically making it clear how product management, services, sales and executive leadership engage with the customer
- Manage and communicate with the customer-specific ecosystem of partners and competitors
- Understanding of the Life Sciences market and how different parts of their business work
- Enterprise sales experience - getting complex, multi-million dollar deals through evaluation, negotiation and approval
- Proven track record meeting with senior leaders (VP-level) within Enterprise Life Sciences
- Track record of securing $1M+ software contracts
- Business acumen to articulate how complex solutions map to customer initiatives
- Experience successfully finalizing negotiations on complex Enterprise software deals
- History of positioning a new solution in an unproven area
- Understanding of AI/ML technologies
- Someone who can start conversations in new areas of an account
- We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply
- We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
- We believe in individuals who seek truth and speak the truth and can be their whole selves at work
- We value all of you that believe improving is always possible. At Domino, everything is a work in progress – we can do better at everything
- We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company
#LI-Remote
Total Compensation Range
$327,000—$400,000 USD
What We Do
Domino Data Lab powers model-driven businesses with its leading Enterprise AI platform trusted by over 20% of the Fortune 100. Domino accelerates the development and deployment of data science work while increasing collaboration and governance. With Domino, enterprises worldwide can develop better medicines, grow more productive crops, build better cars, and much more. Founded in 2013, Domino is backed by Coatue Management, Great Hill Partners, Highland Capital, Sequoia Capital and other leading investors. For more information, visit www.domino.ai
Why Work With Us
We’re looking for sharp, scrappy people who crave a high degree of ownership, are laser-focused on personal growth, and can stick the landing between high standards and low ego. In our fast-paced environment, you’ll find all the white space and opportunity you need to thrive.
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Domino Data Lab Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
