Monte Carlo

HQ
San Francisco
Total Offices: 5
135 Total Employees
Year Founded: 2019

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Olivia McClure Olivia McClure
Published on March 07, 2025

Meet 16 Women Shaping the Tech Industry — and Inspiring Others to Do the Same

In honor of International Women’s Day, we asked companies across the country to nominate a woman on their team who has made an impact on the business and those around her.

Recently posted jobs

4 Days AgoSaved
Remote
United States
Big Data • Cloud • Software • Generative AI • Big Data Analytics
Own a US enterprise sales territory focused on landing net-new logos among companies with 1,000–10,000 employees. Build outbound pipeline, run full-cycle deals, lead MEDDPICC-based discovery, collaborate with Solutions Architects on technical evaluations, and engage data and AI executives. The role also contributes customer insights to Product and Marketing, develops segment strategy and sales collateral, and helps build the growing enterprise sales team.
12 Days AgoSaved
Remote
United States
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.
13 Days AgoSaved
Remote
US
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.