Monte Carlo

HQ
San Francisco
Total Offices: 11
221 Total Employees
72 Product + Tech Employees
Year Founded: 2019
All Teams

Monte Carlo Customer Success Team

What People Are Saying About Monte Carlo

  • Mission & Purpose: Feedback suggests the CS org is anchored to a clear mission of reducing data downtime and enabling trusted AI with “Customer Impact” set as the first value. Rituals like “Week 1 Ship” and outcome‑focused onboarding reinforce CS ownership of customer value from day one.
  • Team Support: Colleagues are often seen as highly collaborative across Product, Engineering, Sales, and Marketing, enabling CSMs to quarterback strategic accounts effectively. Cross‑functional problem‑solving and open feedback norms help CS unblock adoption and value realization.
  • Learning & Development: Feedback suggests CSMs benefit from structured onboarding centered on product and customer personas, plus ongoing mentorship and Lunch & Learns. Customer certification and enablement assets further support rapid ramp in a technical domain.

Recently posted jobs

An Hour AgoSaved
In-Office or Remote
London, Greater London, England, GBR
Big Data • Cloud • Software • Generative AI • Big Data Analytics
Lead and scale Monte Carlo's partner ecosystem across EMEA by recruiting, enabling, and managing cloud, SI, and consultancy partners; build joint GTM plays; drive partner-sourced pipeline and co-marketing; run field events; and cultivate executive relationships to expand market presence and accelerate revenue.
9 Days AgoSaved
Remote
United States
Big Data • Cloud • Software • Generative AI • Big Data Analytics
Design, build, and own production AI agents and automations for marketing. Integrate and instrument the marketing stack (Salesforce, HubSpot, Qualified, Clay, ZoomInfo, data warehouse), implement predictive scoring and personalization, monitor systems for reliability, and collaborate with marketing, RevOps, and sales to translate problems into deployable software.
10 Days AgoSaved
In-Office or Remote
San Francisco, CA, USA
Big Data • Cloud • Software • Generative AI • Big Data Analytics
As a Technical Support Engineer, you'll diagnose and resolve technical issues, document solutions, and collaborate with engineering to improve customer experience.