Sales Engineer
US$240,000 – US$270,000 / yr base salary
Posted 29 Sep 2026
Advertised as “Sr. Sales Engineer (Forward Deployed Engineer - Pre Sales)”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 3+ yrs
- Management level
- Individual contributor
- Employment
- Remote
- Contract
- Full-time
| Base salary | US$240,000 – US$270,000 / yr |
|---|
About Monte Carlo
Monte Carlo is the agent trust platform that unifies data and agent observability to monitor, troubleshoot, and improve production AI systems. 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. Founded in 2019 and backed by leading investors, Monte Carlo empowers data and AI teams to ship trusted AI at scale. Learn more at montecarlo.ai
The Opportunity
The largest US enterprises are deploying agents into production right now — and discovering that trust, reliability, and observability are the difference between a pilot and a platform.
We're looking for a sales engineer who has lived that reality and can help our strategic customers navigate it. You'll own the technical win inside strategic US accounts, partnered directly with Account Executives, and working fully remote.
What You'll Do
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Run technical sales cycles end to end. Own discovery, solution design, demos, POV execution, and technical close for opportunities within strategic US enterprises. Partner with Account Executives on commercial strategy; drive the technical win independently.
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Sell into the agentic stack. Our customers are deploying agents on Databricks, Snowflake, and their own platforms. You'll help them understand how to observe, trust, and improve those systems — from the data pipelines feeding agents, to the context they retrieve, the decisions they make, and the outputs they produce.
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Drive POVs that convert. Design proofs of value with agreed success criteria, manage the evaluation, and deliver results that remove technical objections and accelerate the commercial close.
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Build technical champions. Identify and develop the advocates inside each account who will carry Monte Carlo into the next budget cycle, platform decision, or executive review. Run briefings, workshops, and architecture reviews that position our platform as infrastructure.
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Bring a technical point of view. Understand each customer's data and AI architecture deeply — where agents run, how they're instrumented, and where reliability breaks down. Bring that perspective to every account plan and QBR.
What We're Looking For
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Hands-on experience with enterprise AI and agent deployments. You've deployed agents in enterprise organizations — or worked closely enough with teams that do to understand the architecture, the failure modes, and the operational reality. You know what it takes to get an agent from demo to production.