Jobs at Monte Carlo

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.

Own a 50–60-account Global 2000 territory, generate pipeline through outbound and partner channels, engage executive buyers, and close complex six- and seven-figure enterprise deals. Responsibilities include discovery, business value assessments, multi-threading, procurement and security navigation, account planning, and expanding initial wins across departments. The role also contributes competitive intelligence and helps shape Monte Carlo’s upmarket sales playbook.

Build and operate production-grade Python backend services, APIs, distributed systems, data pipelines, and agentic workflows for an AI observability platform. Own ambiguous projects from prototyping through architecture, testing, deployment, and ongoing operation. Collaborate with product, machine learning, and infrastructure teams, while contributing React front ends when needed. The role requires strong backend depth, distributed-systems expertise, cloud experience, and end-to-end product ownership.

Own technical sales cycles for strategic enterprise accounts, including discovery, solution design, demonstrations, proofs of value, architecture reviews, and technical close. Help customers deploy and observe AI agents across platforms such as Databricks and Snowflake. Build technical champions, navigate procurement and infosec reviews, and partner with Account Executives to drive revenue growth and expansion.

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.

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.

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.

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.