Enterprise Sales Development Representative (SDR) - London

About Monte Carlo

Monte Carlo is a leading agent trust platform that integrates data and agent observability to monitor, troubleshoot, and enhance the performance of production AI systems. As businesses move towards deploying thousands of agents in crucial operational roles, Monte Carlo delivers the dependable infrastructure needed to support this AI evolution—from human-assisted agents to fully autonomous processes. Founded in 2019 and supported by top investors, Monte Carlo empowers data and AI teams to deliver trustworthy AI solutions at scale.

Role Overview

We are seeking an Enterprise Sales Development Representative (SDR) to build new enterprise pipeline opportunities. This position will primarily involve outbound prospecting, identifying, engaging, and arranging meetings with key decision-makers within assigned accounts. Collaborating closely with an Account Executive, the SDR will craft and implement innovative outreach strategies to raise awareness of Monte Carlo and secure qualified leads.

Additionally, the role includes managing inbound leads by qualifying them according to our ideal customer profile (ICP) and converting these into sales-ready opportunities. The SDR will contribute to developing and refining the enterprise outbound playbook, working alongside marketing to test messaging, relay field insights, and meet shared pipeline objectives.

Key Requirements

• Minimum of 1 year of experience in pipeline generation or in roles requiring strong process orientation
• Proven success working in early-stage or highly dynamic, ambiguous environments
• Experience with complex and consultative sales cycles
• Highly developed organizational and prioritization skills

Cultural Attributes

• Ownership: Self-driven with a strong sense of responsibility and a proactive approach to problem-solving
• Prioritization: Ability to organize workflows and maintain focus on key tasks
• Integrity: Acts honestly and transparently, embracing accountability for mistakes and learning from them
• Customer Focus: Deep empathy for customers, committed to adding value and ensuring satisfaction
• Ambition: Sets challenging goals and holds oneself to high standards, embracing failures as learning opportunities
• Speed: Demonstrates urgency in delivering results and insights promptly
• Collaboration: Works effectively with teammates in a fast-paced environment, sharing successes and insights to foster growth

Why Join Monte Carlo

• Pioneers in the data observability market, now innovating in agent trust infrastructure
• Backed by $236M in Series D funding from prominent investors including Accel, Redpoint, ICONIQ Growth, and Salesforce Ventures
• Enterprise clients such as HubSpot, Fox, Nasdaq, Toast, and Mercado Libre rely on our solutions
• Recognized Snowflake Partner of the Year and trusted Anthropic Claude AI directory connector
• Remote-first culture from inception, honored as a top workplace for remote employees
• Competitive salary structure, equity options, and a flexible remote work environment

Equal Opportunity and Employee Experience

Monte Carlo is dedicated to fostering an inclusive workforce that values diverse backgrounds, perspectives, and experiences. We celebrate diversity and strive to maintain an environment where all team members can thrive.

We’ve been recognized with several awards including Databricks Data Governance Partner of the Year 2025, #1 Data Observability Platform on G2 for four consecutive quarters, Best Software Products of 2026 by G2, Database Trends and Applications Trend-Setting Products, and 2026 Best Place to Work by Built In.

Security Warning

• Official recruitment communications will only come from @montecarlodata.com email addresses
• No request for sensitive personal data or payment for recruitment processes will ever be made
• All job openings are posted on our official careers portal
• If you receive suspicious communications claiming to represent Monte Carlo, please contact recruiting@montecarlodata.com before sharing personal information