Monte Carlo

New York, New York, USA
165 Total Employees
Year Founded: 2019

Benefits at Monte Carlo

Financial + Retirement

401(K)

Company equity

Performance bonus

Office Perks

Company-sponsored outings

Fitness stipend

Free snacks and drinks

Some meals provided

Home-office stipend for remote employees

Child Care + Parental Leave

Company sponsored family events

Generous parental leave

Health Insurance + Wellness

Dental insurance

Health insurance

Life insurance

Vision insurance

Wellness programs

Vacation + Time Off

Generous PTO

Paid sick days

Unlimited vacation policy

Flexible time off

Diversity

Highly diverse management team

Diversity employee resource groups

Hiring practices that promote diversity

Professional Development

Job training & conferences

Mentorship program

Promote from within

Lunch and learns

Personal development training

Virtual coaching services

Culture

Open door policy

Remote work program

We are 100% fully remote, with physical office locations for those who want to meet in-person.

Team based strategic planning

Employee resource groups

Employee-led culture committees

In-person revenue kickoff

Search the 8 jobs at Monte Carlo

Recently posted jobs

Big Data • Cloud • Software • Big Data Analytics
The Strategic Account Executive will drive new customer acquisition and expand existing accounts among Global 2000 companies by developing and executing sales strategies, building relationships, and collaborating with internal teams to leverage success across markets.
Big Data • Cloud • Software • Big Data Analytics
The Inbound Sales Development Representative will manage all marketing generated leads for Monte Carlo, ensuring timely follow-up and converting leads into qualified opportunities. The role requires collaboration with the marketing team to meet pipeline goals and the development of an inbound playbook.
8 Days Ago
USA
Remote
Big Data • Cloud • Software • Big Data Analytics
As a Data Scientist at Monte Carlo, you'll design and implement machine learning algorithms, lead ML projects from concept to deployment, and tackle complex challenges in anomaly detection and prediction. You'll work with a talented team in a dynamic startup environment, shaping the future of data reliability.