Monte Carlo
We're Hiring!
All Teams
Operations
The Monte Carlo Operations Team is dedicated to building an exceptional employee experience that reflects our core values. Spanning across recruiting, people, and culture, our mission is to hire, retain, and empower the best global team to drive Monte Carlo’s vision of accelerating the world’s adoption of data. Our key focus areas include: Hiring the Best Global Team: Attracting top talent worldwide to join and thrive at Monte Carlo. People Success: Developing programs that boost engagement, retention, and performance, ensuring every team member has the support to excel. Culture & Engagement: Fostering a culture of inclusion and engagement where employees
Close
What People Are Saying About Monte Carlo
-
Mission & Purpose: Ops work is explicitly tied to reducing data downtime and enabling trusted AI, with onboarding and rituals like “Week 1 Ship” anchoring even People Ops to customer impact. This linkage pulls Operations into cross‑functional problem solving and outcome‑focused programs.
-
Autonomy: A remote‑first, globally distributed setup and a builder mindset give Operations high ownership to design systems, pilot automation/AI tools, and ship iteratively. This product‑like charter treats Ops as system designers rather than back‑office administrators.
-
Team Support: Colleagues are often seen as collaborative and approachable, with Ops partnering closely across GTM, product, security, and legal to keep processes reliable and inclusive. Company rituals such as AMAs, offsites, and structured onboarding are highlighted and often operationalized by Ops for a global team.
Recently posted jobs
Big Data • Cloud • Software • Generative AI • Big Data Analytics
Drive new-logo sales across Global 2000 accounts by developing consultative sales strategies, generating pipeline, leading discovery and business value assessments, presenting to executive buyers, and closing complex software cloud deals. The role partners with sales engineering, marketing, partnerships, and customers while selling technical products to data and engineering teams. It is ideally hybrid in London one to two days weekly.
Big Data • Cloud • Software • Generative AI • Big Data Analytics
Build production AI agents and agent-powered features from research and prototyping through deployment. Develop evaluation infrastructure with golden datasets, regression suites, and offline/online scoring. Own retrieval and context pipelines, production instrumentation, failure taxonomies, and cost and latency budgets. Partner with data science and product management on experiments and agent behavior, while establishing LLM engineering patterns, guardrails, and reusable tooling.
Big Data • Cloud • Software • Generative AI • Big Data Analytics
Qualify inbound leads and outbound to strategic prospects, triage against ICP, build the inbound playbook with marketing, use AI tools to research and personalize outreach, prioritize pipeline, and convert high-quality prospects into opportunities.
