Monte Carlo
We're Hiring!
All Teams
Monte Carlo Customer Success Team
Close
What People Are Saying About Monte Carlo
-
Autonomy: CS roles are characterized by high ownership and a “ship and iterate” ethos, with new hires expected to deliver something useful in their first week. Team members are trusted to make decisions quickly and own customer outcomes rather than follow a rigid playbook.
-
Team Support: Colleagues are often seen as talented, collaborative, and supportive, with CS acting as connective tissue across Product, Engineering, Sales, and Support. A remote‑first model is paired with offsites, AMAs, and regular rituals that help CS stay closely aligned with partner teams.
-
Mission & Purpose: Customer outcomes are treated as the north star, with “Customer Impact” explicitly named as a core value and CS focused on business results rather than mere software adoption. CS leadership frames the culture around asking what an initiative will achieve and who benefits.
What People Are Saying About Monte Carlo
-
Mission & Purpose: In San Francisco, work is anchored to “Customer Impact” as a core value, emphasizing measurable outcomes over activity. This customer-first focus gives local CS a strategic voice and ties day-to-day efforts directly to tangible value for enterprise users.
-
Autonomy: Colleagues in San Francisco operate with high ownership in a “ship and iterate” culture that expects useful contributions early. The environment encourages quick decisions and learning loops rather than waiting for perfect answers.
-
Team Support: Teams in San Francisco collaborate closely across Product, Engineering, Sales, Support, and CS within a remote-first setup. Approachable leaders and recurring connection rituals (such as AMAs, offsites, and weekly syncs) reinforce a supportive network for solving customer problems quickly.
Recently posted jobs
Big Data • Cloud • Software • Generative AI • Big Data Analytics
Own and expand a portfolio of 15–25 enterprise accounts, generating approximately $1.2M in annual expansion quota. Prospect within existing customers, identify new departments and use cases, build executive relationships, run business and quarterly reviews, and close complex 6–12 month enterprise deals. Partner with sales engineers, customer success, and leadership while creating account plans, developing pipeline, and presenting Monte Carlo’s data and AI reliability platform to technical and executive buyers.
Big Data • Cloud • Software • Generative AI • Big Data Analytics
Leads Monte Carlo’s Enterprise Americas sales team, overseeing forecasts, pipeline coverage, new-logo bookings, outbound prospecting, deal inspection, and enterprise sales coaching. The role requires developing a repeatable sales process, coaching reps through complex executive-level deals, recruiting enterprise account executives, and partnering with sales engineering, SDR, marketing, and customer success teams. Candidates should have prior enterprise SaaS sales leadership experience and expertise in disciplined methodologies such as MEDDPICC and value-based selling.
Big Data • Cloud • Software • Generative AI • Big Data Analytics
Drive enterprise pipeline through outbound prospecting, lead qualification, stakeholder engagement, and meeting booking. Partner with Account Executives to execute outreach strategies, triage inbound leads, convert prospects into qualified opportunities, and refine the enterprise outbound playbook. Collaborate with Marketing on messaging, field feedback, and shared pipeline goals in a remote-first, early-stage environment.
