Monte Carlo

Monte Carlo

Strategic Sales Development Representative

New York

Sponsorship not specifiedDetected 42 days ago
SpringDatabricksSalesOutbound SalesResearchCommunication

About the role

  • You'll use AI tools daily to research accounts, personalize outreach at scale, prioritize your queue, and move faster than a traditional SDR ever could.
  • We want someone who sees AI as a multiplier, not a shortcut.
  • You've thrived in an early-stage or ambiguous environment where the playbook didn't exist yet.

Responsibilities

  • As enterprises prepare to deploy thousands of agents across business-critical use cases, Monte Carlo provides the reliability infrastructure to support them along this AI transformation, from human-guided agents to fully autonomous operations.
  • This isn't just a lead-routing role - you'll help build the inbound playbook from scratch, working hand in hand with marketing to hit our pipeline goals.
  • Ownership. You're intrinsically motivated to build something special. High accountability, bias for action, and you go find the answers when nobody has them.
  • Beat the odds. You set big goals and hold yourself to a high standard to overachieve them. You fail forward - own your mistakes and help the company learn from them.

Requirements

  • You bring 1+ years of experience in pipeline generation or a process-heavy role.
  • You have an urgent need to get results and learnings as fast as possible.

Company info

  • We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences.
  • We are proud to be recognized for our world-class employee experience:
  • Monte Carlo is the agent trust platform that unifies data and agent observability to monitor, troubleshoot, and improve production AI systems.
  • Founded in 2019 and backed by leading investors, Monte Carlo empowers data and AI teams to ship trusted AI at scale.
  • We're looking for a Strategic SDR who will help build a pipeline at Monte Carlo.

This listing is sourced directly from Monte Carlo's careers page and normalized into a canonical job model.