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