Sr. Sales Engineer (Forward Deployed Engineer - Pre Sales)

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. Founded in 2019 and backed by leading investors, Monte Carlo empowers data and AI teams to ship trusted AI at scale.

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

• 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.
• Sell into the agentic stack: Help customers understand how to observe, trust, and improve AI systems on Databricks, Snowflake, and proprietary platforms — from data pipelines feeding agents to context retrieval and outputs.
• Drive POVs that convert: Design proofs of value with agreed success criteria, manage the evaluation, and deliver results that remove technical objections.
• Build technical champions: Identify and develop advocates inside each account who carry Monte Carlo into the next budget cycle or executive review.
• Bring a technical point of view: Understand each customer's data and AI architecture deeply and bring that perspective to account plans and QBRs.

What We're Looking For

• Hands-on experience with enterprise AI and agent deployments: Proven background getting agents from demo to production.
• Fluency in AI observability concepts: Working vocabulary of traces, spans, evaluations, and instrumentation (OpenTelemetry, Databricks Genie, Snowflake Cortex, etc.).
• 3+ years in pre-sales, solutions engineering, or strategic technical account management: Experience within B2B AI-first and SaaS organizations managing complex enterprise cycles.
• Domain background: Experience in data, observability, agent trust, or agent-first products.
• Equal parts technical and business focused: Ability to whiteboard agent architecture and discuss ROI with a VP of Data & AI.
• Self-directed and accountable: Lean team environment requiring strong prioritization and time management.
• Strong communicator: Comfortable across seniority levels from platform engineers to C-suite executives.

Why Monte Carlo

• Pioneer in data observability and agent trust
• Series D, backed by Accel, Redpoint, Notable Capital, ICONIQ Growth, and Salesforce Ventures
• Enterprise customer base including HubSpot, Fox, Nasdaq, Toast, and Mercado Libre
• Remote-first by design since day one
• Competitive compensation, equity, and benefits