Posted:
10/25/2024, 3:35:00 AM
Experience Level(s):
Senior
Field(s):
Growth & Marketing
Workplace Type:
Remote
Who we are
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
What we are building
The Marketing team at Domino is in the process of building a world class demandgen engine that will help to fuel Domino’s inbound pipeline and revenue. We are seeking to build both a reliable and predictable demandgen infrastructure that will allow us to scale to new heights and grow our customer base of enterprise Fortune 2000 accounts in key verticals. Our demandgen strategy will require a modern approach to developing trust with, and adding real-world value to our prospects, analysts, investors and customers.
Your impact will be:
What we look for in this role
What we value
#LI-Remote
The annual US base salary range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.
Website: https://www.dominodatalab.com/
Headquarter Location: San Francisco, California, United States
Employee Count: 251-500
Year Founded: 2013
IPO Status: Private
Last Funding Type: Series F
Industries: Analytics ⋅ Artificial Intelligence (AI) ⋅ Big Data ⋅ Data Mining ⋅ Enterprise Applications ⋅ Enterprise Software ⋅ Machine Learning ⋅ Software